{
  "schema_version": 1,
  "order_id": "00000000-0000-0000-0000-000000000101",
  "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
  "results": [
    {
      "test_id": "pearson_correlation",
      "test_family": "association",
      "statistic": 6.43948427448411,
      "statistic_name": "t",
      "df1": 178.0,
      "df2": null,
      "p_value": 1.08061767649322e-09,
      "n": 180,
      "group_ns": null,
      "effect_size": {
        "name": "pearson_r",
        "value": 0.434676854081344,
        "magnitude": "medium",
        "ci_lower": 0.307995022426952,
        "ci_upper": 0.546213409029931,
        "ci_level": 0.95,
        "ci_method": "fisher_z"
      },
      "terms": null,
      "post_hoc": null,
      "coefficients": null,
      "model_fit": null,
      "model_blocks": null,
      "diagnostics": null,
      "survival_curve": null,
      "factor_analysis": null,
      "process_model": null,
      "assumptions_ref": null,
      "detail": {
        "r_squared": 0.188943967474054,
        "alternative": "two.sided",
        "points": {
          "x": [
            3,
            1.4,
            3.2,
            3.2,
            2,
            3,
            2.6,
            1.4,
            2.2,
            4.2,
            2.4,
            2.2,
            3.2,
            3.4,
            1.6,
            4.2,
            2.2,
            4.4,
            3.2,
            3.8,
            3.2,
            3.2,
            3,
            4.2,
            3.4,
            1.8,
            2,
            2.4,
            3.4,
            3.6,
            3.4,
            1.4,
            2.8,
            4.4,
            2.8,
            3,
            3.6,
            3.8,
            1.6,
            4.2,
            2.6,
            3,
            4,
            3,
            2.4,
            3.8,
            2.2,
            2.4,
            2.2,
            2.4,
            3.4,
            3,
            2.2,
            3.4,
            2,
            3.4,
            3.2,
            3.8,
            3.2,
            2.2,
            2.8,
            2.8,
            3.2,
            2.2,
            2.2,
            4,
            3,
            3.4,
            2.4,
            3.4,
            1.2,
            2,
            3.8,
            2.8,
            3,
            2.2,
            3,
            2.2,
            3.6,
            3.4,
            4.2,
            3.8,
            3.6,
            3.4,
            2.2,
            4.6,
            2.4,
            2.4,
            2.8,
            2.6,
            2.8,
            2.2,
            2.8,
            2.2,
            3.4,
            3,
            2,
            3.4,
            4,
            2.8,
            2.8,
            4,
            3,
            3.2,
            3.8,
            4.2,
            1.8,
            5,
            3.2,
            2.8,
            4,
            3.2,
            2.6,
            2.4,
            3,
            3.4,
            3,
            3.2,
            2,
            3.8,
            2.8,
            2.4,
            3.6,
            3.6,
            3.2,
            3,
            3,
            4,
            1.4,
            2.4,
            2.6,
            2.8,
            2.8,
            4.4,
            2.2,
            4,
            2.2,
            3.8,
            2.8,
            4.4,
            2.4,
            1.6,
            2.8,
            2.4,
            2.6,
            2.8,
            3.6,
            3.4,
            3.8,
            2.4,
            2.4,
            4.4,
            4.2,
            3.2,
            2.2,
            3.4,
            4.6,
            2.4,
            3.8,
            2.4,
            3.2,
            1.4,
            3.4,
            2.4,
            2.6,
            3,
            2.6,
            2.8,
            3,
            3.6,
            2.4,
            2.4,
            3.2,
            3.4,
            3.6,
            2.8,
            3.2,
            3,
            3.6,
            3.8
          ],
          "y": [
            3,
            2.8,
            2.2,
            2.4,
            2,
            3,
            4.2,
            2.2,
            2.6,
            3.8,
            2,
            2.8,
            3.8,
            2.8,
            2.4,
            3.4,
            2,
            2.2,
            2.4,
            2.8,
            3.6,
            2.4,
            3,
            2.2,
            4.4,
            2,
            2.6,
            2.8,
            2.6,
            4.2,
            3.6,
            1.4,
            2.8,
            2.2,
            2.8,
            2.4,
            3.4,
            2.8,
            1.2,
            3.6,
            2.8,
            2.6,
            4.4,
            2.4,
            2.8,
            4.2,
            2.4,
            2.4,
            2.6,
            2.2,
            3.4,
            3.8,
            1.8,
            2.8,
            1.8,
            2.4,
            2.2,
            2.4,
            2.8,
            1.8,
            3.2,
            4.2,
            4,
            2.8,
            2.8,
            4,
            4.2,
            3.6,
            2,
            2.2,
            3.4,
            2,
            3.8,
            2.8,
            4.2,
            1.6,
            4,
            3.6,
            2.6,
            3.8,
            3.8,
            3.2,
            3.2,
            2.2,
            2.4,
            4,
            3.2,
            3,
            3.2,
            3.8,
            3,
            3.2,
            2.6,
            1.8,
            4,
            2.8,
            2.4,
            3,
            4.6,
            3,
            3.6,
            3.6,
            3,
            2.6,
            3.2,
            2.6,
            3.8,
            4.6,
            2.8,
            2.4,
            3.6,
            3.4,
            3.6,
            3.2,
            2.8,
            4.2,
            3,
            3.4,
            3.4,
            3.4,
            2.6,
            3.2,
            3.4,
            3.6,
            2.6,
            4.2,
            3.4,
            4.6,
            2,
            2.6,
            3.2,
            2.8,
            4.2,
            2,
            1.4,
            1.8,
            2.8,
            2.4,
            3,
            3.4,
            1.8,
            2.8,
            3.2,
            3.2,
            1.8,
            2,
            3.8,
            3.6,
            3.6,
            2.6,
            2.4,
            4.4,
            2.6,
            3.2,
            2.8,
            2.4,
            4.6,
            3.8,
            3.8,
            2.2,
            3.6,
            2.6,
            3.2,
            3.2,
            2.8,
            2.8,
            3,
            2.6,
            3.4,
            3.6,
            2.6,
            2.2,
            2.6,
            2.8,
            2.4,
            2.4,
            3.2,
            3.4,
            2.8,
            3.2
          ]
        },
        "fit": {
          "intercept": 1.71802870708945,
          "slope": 0.421437537521149
        }
      }
    }
  ],
  "stages": {
    "cleaning": {
      "entries": [],
      "renaming": {
        "d1": "d1",
        "q1_1": "q1_1",
        "q1_2": "q1_2",
        "q1_3": "q1_3",
        "q1_4": "q1_4",
        "q1_5": "q1_5",
        "q2_1": "q2_1",
        "q2_2": "q2_2",
        "q2_3": "q2_3",
        "q2_4": "q2_4",
        "q2_5": "q2_5"
      },
      "original_row_count": 180,
      "cleaned_row_count": 180,
      "original_columns": [
        "d1",
        "q1_1",
        "q1_2",
        "q1_3",
        "q1_4",
        "q1_5",
        "q2_1",
        "q2_2",
        "q2_3",
        "q2_4",
        "q2_5"
      ],
      "cleaned_columns": [
        "d1",
        "q1_1",
        "q1_2",
        "q1_3",
        "q1_4",
        "q1_5",
        "q2_1",
        "q2_2",
        "q2_3",
        "q2_4",
        "q2_5"
      ]
    },
    "missing_data": {
      "entries": [
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "d1",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q1_1",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q1_2",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q1_3",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q1_4",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q1_5",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q2_1",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q2_2",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q2_3",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q2_4",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        },
        {
          "event_type": "missing.variable_analyzed",
          "schema_version": 1,
          "variable": "q2_5",
          "count": 0,
          "affected_rows": [],
          "details": {
            "missing_pct": 0.0,
            "n_valid": 180,
            "band": "complete"
          }
        }
      ],
      "variables": [
        {
          "variable": "d1",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q1_1",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q1_2",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q1_3",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q1_4",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q1_5",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q2_1",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q2_2",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q2_3",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q2_4",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        },
        {
          "variable": "q2_5",
          "missing_count": 0,
          "missing_pct": 0.0,
          "n_valid": 180,
          "band": "complete",
          "strategy": "complete",
          "imputed_value": null,
          "imputation_method": null
        }
      ],
      "row_basis": "post_restructure_frame",
      "total_rows": 180
    },
    "reliability": {
      "entries": [
        {
          "event_type": "reliability.scale_analyzed",
          "schema_version": 1,
          "scale_id": "academic_self_efficacy",
          "details": {
            "n_items": 5,
            "n_items_declared": 5,
            "degenerate_items": [],
            "n_obs": 180,
            "initial_alpha": 0.815483272389892,
            "std_alpha": 0.815638975505991,
            "split_half": 0.783013416485751,
            "alpha_threshold": 0.7
          }
        },
        {
          "event_type": "reliability.scale_reliable",
          "schema_version": 1,
          "scale_id": "academic_self_efficacy",
          "details": {
            "final_alpha": 0.815483272389892,
            "coefficient": "cronbach_alpha",
            "spearman_brown": null,
            "final_items": [
              "q1_1",
              "q1_2",
              "q1_3",
              "q1_4",
              "q1_5"
            ],
            "removed_items": [],
            "reason": "reached_threshold"
          }
        },
        {
          "event_type": "reliability.scale_analyzed",
          "schema_version": 1,
          "scale_id": "learning_persistence",
          "details": {
            "n_items": 5,
            "n_items_declared": 5,
            "degenerate_items": [],
            "n_obs": 180,
            "initial_alpha": 0.77179653317727,
            "std_alpha": 0.771507952402811,
            "split_half": 0.740647634306698,
            "alpha_threshold": 0.7
          }
        },
        {
          "event_type": "reliability.scale_reliable",
          "schema_version": 1,
          "scale_id": "learning_persistence",
          "details": {
            "final_alpha": 0.77179653317727,
            "coefficient": "cronbach_alpha",
            "spearman_brown": null,
            "final_items": [
              "q2_1",
              "q2_2",
              "q2_3",
              "q2_4",
              "q2_5"
            ],
            "removed_items": [],
            "reason": "reached_threshold"
          }
        }
      ],
      "scales": [
        {
          "scale_id": "academic_self_efficacy",
          "initial_alpha": 0.815483272389892,
          "final_alpha": 0.815483272389892,
          "std_alpha": 0.815638975505991,
          "split_half": 0.783013416485751,
          "coefficient": "cronbach_alpha",
          "spearman_brown": null,
          "inter_item_r": null,
          "reliable": true,
          "initial_items": [
            "q1_1",
            "q1_2",
            "q1_3",
            "q1_4",
            "q1_5"
          ],
          "final_items": [
            "q1_1",
            "q1_2",
            "q1_3",
            "q1_4",
            "q1_5"
          ],
          "removed_items": [],
          "degenerate_items": [],
          "attempts": [
            {
              "item_set": [
                "q1_1",
                "q1_2",
                "q1_3",
                "q1_4",
                "q1_5"
              ],
              "n_obs": 180,
              "alpha": 0.815483272389892,
              "std_alpha": 0.815638975505991,
              "split_half": 0.783013416485751,
              "inter_item_r": null,
              "spearman_brown": null,
              "item_stats": [
                {
                  "item": "q1_1",
                  "item_total_correlation": 0.606062987555563,
                  "alpha_if_deleted": 0.77931465133785,
                  "scale_mean_if_deleted": 11.9777777777778,
                  "scale_var_if_deleted": 9.67548106765984
                },
                {
                  "item": "q1_2",
                  "item_total_correlation": 0.664668533805454,
                  "alpha_if_deleted": 0.761004917332461,
                  "scale_mean_if_deleted": 11.9777777777778,
                  "scale_var_if_deleted": 9.1056486654252
                },
                {
                  "item": "q1_3",
                  "item_total_correlation": 0.599196622623961,
                  "alpha_if_deleted": 0.781199379557183,
                  "scale_mean_if_deleted": 12.0111111111111,
                  "scale_var_if_deleted": 9.63116076970826
                },
                {
                  "item": "q1_4",
                  "item_total_correlation": 0.559661877132794,
                  "alpha_if_deleted": 0.79328770432402,
                  "scale_mean_if_deleted": 11.9722222222222,
                  "scale_var_if_deleted": 9.6360955927995
                },
                {
                  "item": "q1_5",
                  "item_total_correlation": 0.597096388188065,
                  "alpha_if_deleted": 0.781819541586596,
                  "scale_mean_if_deleted": 11.95,
                  "scale_var_if_deleted": 9.54497206703911
                }
              ],
              "removed_item": null
            }
          ],
          "suspected_unmarked_reversals": [],
          "reason": "reached_threshold"
        },
        {
          "scale_id": "learning_persistence",
          "initial_alpha": 0.77179653317727,
          "final_alpha": 0.77179653317727,
          "std_alpha": 0.771507952402811,
          "split_half": 0.740647634306698,
          "coefficient": "cronbach_alpha",
          "spearman_brown": null,
          "inter_item_r": null,
          "reliable": true,
          "initial_items": [
            "q2_1",
            "q2_2",
            "q2_3",
            "q2_4",
            "q2_5"
          ],
          "final_items": [
            "q2_1",
            "q2_2",
            "q2_3",
            "q2_4",
            "q2_5"
          ],
          "removed_items": [],
          "degenerate_items": [],
          "attempts": [
            {
              "item_set": [
                "q2_1",
                "q2_2",
                "q2_3",
                "q2_4",
                "q2_5"
              ],
              "n_obs": 180,
              "alpha": 0.77179653317727,
              "std_alpha": 0.771507952402811,
              "split_half": 0.740647634306698,
              "inter_item_r": null,
              "spearman_brown": null,
              "item_stats": [
                {
                  "item": "q2_1",
                  "item_total_correlation": 0.549729444403553,
                  "alpha_if_deleted": 0.727854379977247,
                  "scale_mean_if_deleted": 11.8888888888889,
                  "scale_var_if_deleted": 9.09373060211049
                },
                {
                  "item": "q2_2",
                  "item_total_correlation": 0.512886740156762,
                  "alpha_if_deleted": 0.740233841079487,
                  "scale_mean_if_deleted": 11.9222222222222,
                  "scale_var_if_deleted": 9.23414028553693
                },
                {
                  "item": "q2_3",
                  "item_total_correlation": 0.558580820324647,
                  "alpha_if_deleted": 0.724659409655134,
                  "scale_mean_if_deleted": 11.95,
                  "scale_var_if_deleted": 8.81871508379888
                },
                {
                  "item": "q2_4",
                  "item_total_correlation": 0.506850945353071,
                  "alpha_if_deleted": 0.742099925121967,
                  "scale_mean_if_deleted": 11.9388888888889,
                  "scale_var_if_deleted": 9.35378646803228
                },
                {
                  "item": "q2_5",
                  "item_total_correlation": 0.586871227689578,
                  "alpha_if_deleted": 0.714528159272095,
                  "scale_mean_if_deleted": 11.9,
                  "scale_var_if_deleted": 8.70502793296089
                }
              ],
              "removed_item": null
            }
          ],
          "suspected_unmarked_reversals": [],
          "reason": "reached_threshold"
        }
      ],
      "not_run": [],
      "schema_version": 1
    },
    "assumptions": {
      "entries": [
        {
          "event_type": "assumptions.checks_completed",
          "schema_version": 1,
          "test_id": "pearson_correlation",
          "details": {
            "hypothesis_id": "H1",
            "n_checks": 15,
            "n_applicable": 2,
            "n_failed": 0,
            "n_untested": 0
          }
        },
        {
          "event_type": "assumptions.test_retained",
          "schema_version": 1,
          "test_id": "pearson_correlation",
          "details": {
            "resulting_test_id": "pearson_correlation"
          }
        }
      ],
      "plans": [
        {
          "test_id": "pearson_correlation",
          "hypothesis_id": "H1",
          "check_results": [
            {
              "check_id": "pearson_correlation|shapiro|academic_self_efficacy",
              "check_type": "shapiro",
              "assumption": "normality",
              "report_only": false,
              "statistic": 0.987349136397022,
              "p_value": 0.1067034156299,
              "passed": true,
              "severity": "ok",
              "detail": {
                "variables": [
                  "academic_self_efficacy"
                ],
                "alpha": 0.05,
                "corroborated_severe": false,
                "skewness": 0.0344691885948991,
                "kurtosis": -0.348246051105732,
                "n_complete": 180
              }
            },
            {
              "check_id": "pearson_correlation|lilliefors|academic_self_efficacy",
              "check_type": "lilliefors",
              "assumption": "normality",
              "report_only": true,
              "statistic": 0.0847310029423659,
              "p_value": 0.00308652083510839,
              "passed": false,
              "severity": "warning",
              "detail": {
                "variables": [
                  "academic_self_efficacy"
                ],
                "alpha": 0.05,
                "corroborated_severe": false,
                "skewness": 0.0344691885948991,
                "kurtosis": -0.348246051105732,
                "n_complete": 180,
                "n_rule": "large_sample_robust"
              }
            },
            {
              "check_id": "pearson_correlation|skew_kurtosis|academic_self_efficacy",
              "check_type": "skew_kurtosis",
              "assumption": "distribution_shape",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "academic_self_efficacy"
                ],
                "skewness": 0.0344691885948991,
                "kurtosis": -0.348246051105732
              }
            },
            {
              "check_id": "pearson_correlation|qq|academic_self_efficacy",
              "check_type": "qq",
              "assumption": "qq",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "academic_self_efficacy"
                ],
                "qq_theoretical": [
                  -2.77292129460866,
                  -2.39397979981851,
                  -2.20041058121003,
                  -2.06536065002228,
                  -1.95996398454005,
                  -1.8726906799231,
                  -1.79771475351869,
                  -1.73166439612225,
                  -1.67240521506176,
                  -1.61849689446641,
                  -1.56891963249893,
                  -1.52292377133927,
                  -1.47994138903519,
                  -1.43953147093846,
                  -1.4013443963101,
                  -1.36509809021206,
                  -1.3305615131789,
                  -1.29754292861655,
                  -1.26588137468199,
                  -1.23544034156125,
                  -1.20610300126827,
                  -1.17776855244864,
                  -1.15034938037601,
                  -1.12376882255426,
                  -1.09795939076241,
                  -1.07286134165,
                  -1.04842151668575,
                  -1.0245923925401,
                  -1.00133129752569,
                  -0.978599760293084,
                  -0.956362964763013,
                  -0.93458929107348,
                  -0.913249926683609,
                  -0.892318535094087,
                  -0.871770972189959,
                  -0.851585042182344,
                  -0.831740286663613,
                  -0.812217801499913,
                  -0.79300007724277,
                  -0.774070859505182,
                  -0.755415026360469,
                  -0.737018480316895,
                  -0.718868052822716,
                  -0.700951419584212,
                  -0.683257025248282,
                  -0.665774016222946,
                  -0.648492180592857,
                  -0.631401894239761,
                  -0.614494072405518,
                  -0.597760126042478,
                  -0.581191922386159,
                  -0.564781749261431,
                  -0.548522282698098,
                  -0.532406557486753,
                  -0.516427940352797,
                  -0.50058010546674,
                  -0.48485701204345,
                  -0.469252883812802,
                  -0.453762190169879,
                  -0.438379628835157,
                  -0.423100109874425,
                  -0.407918740945035,
                  -0.392830813649729,
                  -0.377831790892152,
                  -0.362917295139356,
                  -0.34808309750652,
                  -0.333325107587732,
                  -0.318639363964375,
                  -0.304022025329353,
                  -0.289469362171406,
                  -0.274977748969005,
                  -0.260543656848,
                  -0.246163646661359,
                  -0.23183436245301,
                  -0.217552525271053,
                  -0.203314927298569,
                  -0.189118426272792,
                  -0.174959940165732,
                  -0.160836442101396,
                  -0.146744955486549,
                  -0.132682549333579,
                  -0.118646333755466,
                  -0.104633455614075,
                  -0.0906410943041526,
                  -0.0766664576563184,
                  -0.0627067779432138,
                  -0.0487593079736667,
                  -0.0348213172603477,
                  -0.0208900882468886,
                  -0.00696291258084083,
                  0.00696291258084083,
                  0.0208900882468884,
                  0.0348213172603476,
                  0.0487593079736668,
                  0.0627067779432138,
                  0.0766664576563184,
                  0.0906410943041526,
                  0.104633455614075,
                  0.118646333755466,
                  0.132682549333579,
                  0.146744955486549,
                  0.160836442101396,
                  0.174959940165732,
                  0.189118426272792,
                  0.203314927298569,
                  0.217552525271053,
                  0.23183436245301,
                  0.246163646661359,
                  0.260543656847999,
                  0.274977748969005,
                  0.289469362171406,
                  0.304022025329353,
                  0.318639363964375,
                  0.333325107587732,
                  0.34808309750652,
                  0.362917295139356,
                  0.377831790892152,
                  0.392830813649729,
                  0.407918740945035,
                  0.423100109874425,
                  0.438379628835157,
                  0.45376219016988,
                  0.469252883812802,
                  0.48485701204345,
                  0.50058010546674,
                  0.516427940352797,
                  0.532406557486753,
                  0.548522282698098,
                  0.564781749261431,
                  0.581191922386159,
                  0.597760126042478,
                  0.614494072405518,
                  0.631401894239761,
                  0.648492180592857,
                  0.665774016222946,
                  0.683257025248282,
                  0.700951419584212,
                  0.718868052822716,
                  0.737018480316896,
                  0.755415026360469,
                  0.774070859505182,
                  0.79300007724277,
                  0.812217801499913,
                  0.831740286663613,
                  0.851585042182344,
                  0.871770972189959,
                  0.892318535094087,
                  0.913249926683609,
                  0.93458929107348,
                  0.956362964763013,
                  0.978599760293084,
                  1.00133129752569,
                  1.0245923925401,
                  1.04842151668575,
                  1.07286134165,
                  1.09795939076241,
                  1.12376882255426,
                  1.15034938037601,
                  1.17776855244864,
                  1.20610300126827,
                  1.23544034156125,
                  1.26588137468199,
                  1.29754292861655,
                  1.3305615131789,
                  1.36509809021206,
                  1.4013443963101,
                  1.43953147093846,
                  1.47994138903519,
                  1.52292377133927,
                  1.56891963249893,
                  1.61849689446641,
                  1.67240521506176,
                  1.73166439612225,
                  1.79771475351869,
                  1.8726906799231,
                  1.95996398454005,
                  2.06536065002228,
                  2.20041058121003,
                  2.39397979981851,
                  2.77292129460866
                ],
                "qq_sample": [
                  1.2,
                  1.4,
                  1.4,
                  1.4,
                  1.4,
                  1.4,
                  1.6,
                  1.6,
                  1.6,
                  1.8,
                  1.8,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  4.0,
                  4.0,
                  4.0,
                  4.0,
                  4.0,
                  4.0,
                  4.0,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.4,
                  4.4,
                  4.4,
                  4.4,
                  4.4,
                  4.6,
                  4.6,
                  5.0
                ],
                "npplot_observed": [
                  1.2,
                  1.4,
                  1.6,
                  1.8,
                  2.0,
                  2.2,
                  2.4,
                  2.6,
                  2.8,
                  3.0,
                  3.2,
                  3.4,
                  3.6,
                  3.8,
                  4.0,
                  4.2,
                  4.4,
                  4.6,
                  5.0
                ],
                "npplot_expected": [
                  -2.54112237319937,
                  -2.01219965339588,
                  -1.70391060181001,
                  -1.57169156451069,
                  -1.404328690911,
                  -1.06407921086582,
                  -0.687587301348291,
                  -0.458756772867246,
                  -0.259071452654524,
                  0.00692444283400812,
                  0.266238870525235,
                  0.537155479386025,
                  0.778177993433029,
                  1.0049578902062,
                  1.25371737199387,
                  1.50394051014749,
                  1.83640119792949,
                  2.20258078598511,
                  2.54112237319937
                ],
                "npplot_detrended": [
                  0.161574237857417,
                  -0.102135686675763,
                  -0.145211942991314,
                  -0.0122181850203262,
                  0.0856317366502872,
                  0.0105950518754223,
                  -0.100684062371798,
                  -0.0643017955825317,
                  0.00122567947505547,
                  0.000442579256833804,
                  0.00634094683591679,
                  0.000637133245437238,
                  0.0248274144687434,
                  0.0632603129658862,
                  0.0797136264485212,
                  0.0947032835652135,
                  0.0274553910535236,
                  -0.0735114017317899,
                  0.118372601594575
                ],
                "npplot_line": [
                  -3.97082490696381,
                  1.32606397635155
                ]
              }
            },
            {
              "check_id": "pearson_correlation|zero_variance|academic_self_efficacy",
              "check_type": "zero_variance",
              "assumption": "zero_variance",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "academic_self_efficacy"
                ],
                "is_constant": false,
                "is_constant_preflight": false,
                "n_complete": 180
              }
            },
            {
              "check_id": "pearson_correlation|shapiro|learning_persistence",
              "check_type": "shapiro",
              "assumption": "normality",
              "report_only": true,
              "statistic": 0.982554632915724,
              "p_value": 0.0238700760576764,
              "passed": false,
              "severity": "warning",
              "detail": {
                "variables": [
                  "learning_persistence"
                ],
                "alpha": 0.05,
                "corroborated_severe": false,
                "skewness": 0.170424931577444,
                "kurtosis": -0.481534152234288,
                "n_complete": 180,
                "n_rule": "large_sample_robust"
              }
            },
            {
              "check_id": "pearson_correlation|lilliefors|learning_persistence",
              "check_type": "lilliefors",
              "assumption": "normality",
              "report_only": true,
              "statistic": 0.11389906081684,
              "p_value": 5.9764050553306e-06,
              "passed": false,
              "severity": "warning",
              "detail": {
                "variables": [
                  "learning_persistence"
                ],
                "alpha": 0.05,
                "corroborated_severe": false,
                "skewness": 0.170424931577444,
                "kurtosis": -0.481534152234288,
                "n_complete": 180,
                "n_rule": "large_sample_robust"
              }
            },
            {
              "check_id": "pearson_correlation|skew_kurtosis|learning_persistence",
              "check_type": "skew_kurtosis",
              "assumption": "distribution_shape",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "learning_persistence"
                ],
                "skewness": 0.170424931577444,
                "kurtosis": -0.481534152234288
              }
            },
            {
              "check_id": "pearson_correlation|qq|learning_persistence",
              "check_type": "qq",
              "assumption": "qq",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "learning_persistence"
                ],
                "qq_theoretical": [
                  -2.77292129460866,
                  -2.39397979981851,
                  -2.20041058121003,
                  -2.06536065002228,
                  -1.95996398454005,
                  -1.8726906799231,
                  -1.79771475351869,
                  -1.73166439612225,
                  -1.67240521506176,
                  -1.61849689446641,
                  -1.56891963249893,
                  -1.52292377133927,
                  -1.47994138903519,
                  -1.43953147093846,
                  -1.4013443963101,
                  -1.36509809021206,
                  -1.3305615131789,
                  -1.29754292861655,
                  -1.26588137468199,
                  -1.23544034156125,
                  -1.20610300126827,
                  -1.17776855244864,
                  -1.15034938037601,
                  -1.12376882255426,
                  -1.09795939076241,
                  -1.07286134165,
                  -1.04842151668575,
                  -1.0245923925401,
                  -1.00133129752569,
                  -0.978599760293084,
                  -0.956362964763013,
                  -0.93458929107348,
                  -0.913249926683609,
                  -0.892318535094087,
                  -0.871770972189959,
                  -0.851585042182344,
                  -0.831740286663613,
                  -0.812217801499913,
                  -0.79300007724277,
                  -0.774070859505182,
                  -0.755415026360469,
                  -0.737018480316895,
                  -0.718868052822716,
                  -0.700951419584212,
                  -0.683257025248282,
                  -0.665774016222946,
                  -0.648492180592857,
                  -0.631401894239761,
                  -0.614494072405518,
                  -0.597760126042478,
                  -0.581191922386159,
                  -0.564781749261431,
                  -0.548522282698098,
                  -0.532406557486753,
                  -0.516427940352797,
                  -0.50058010546674,
                  -0.48485701204345,
                  -0.469252883812802,
                  -0.453762190169879,
                  -0.438379628835157,
                  -0.423100109874425,
                  -0.407918740945035,
                  -0.392830813649729,
                  -0.377831790892152,
                  -0.362917295139356,
                  -0.34808309750652,
                  -0.333325107587732,
                  -0.318639363964375,
                  -0.304022025329353,
                  -0.289469362171406,
                  -0.274977748969005,
                  -0.260543656848,
                  -0.246163646661359,
                  -0.23183436245301,
                  -0.217552525271053,
                  -0.203314927298569,
                  -0.189118426272792,
                  -0.174959940165732,
                  -0.160836442101396,
                  -0.146744955486549,
                  -0.132682549333579,
                  -0.118646333755466,
                  -0.104633455614075,
                  -0.0906410943041526,
                  -0.0766664576563184,
                  -0.0627067779432138,
                  -0.0487593079736667,
                  -0.0348213172603477,
                  -0.0208900882468886,
                  -0.00696291258084083,
                  0.00696291258084083,
                  0.0208900882468884,
                  0.0348213172603476,
                  0.0487593079736668,
                  0.0627067779432138,
                  0.0766664576563184,
                  0.0906410943041526,
                  0.104633455614075,
                  0.118646333755466,
                  0.132682549333579,
                  0.146744955486549,
                  0.160836442101396,
                  0.174959940165732,
                  0.189118426272792,
                  0.203314927298569,
                  0.217552525271053,
                  0.23183436245301,
                  0.246163646661359,
                  0.260543656847999,
                  0.274977748969005,
                  0.289469362171406,
                  0.304022025329353,
                  0.318639363964375,
                  0.333325107587732,
                  0.34808309750652,
                  0.362917295139356,
                  0.377831790892152,
                  0.392830813649729,
                  0.407918740945035,
                  0.423100109874425,
                  0.438379628835157,
                  0.45376219016988,
                  0.469252883812802,
                  0.48485701204345,
                  0.50058010546674,
                  0.516427940352797,
                  0.532406557486753,
                  0.548522282698098,
                  0.564781749261431,
                  0.581191922386159,
                  0.597760126042478,
                  0.614494072405518,
                  0.631401894239761,
                  0.648492180592857,
                  0.665774016222946,
                  0.683257025248282,
                  0.700951419584212,
                  0.718868052822716,
                  0.737018480316896,
                  0.755415026360469,
                  0.774070859505182,
                  0.79300007724277,
                  0.812217801499913,
                  0.831740286663613,
                  0.851585042182344,
                  0.871770972189959,
                  0.892318535094087,
                  0.913249926683609,
                  0.93458929107348,
                  0.956362964763013,
                  0.978599760293084,
                  1.00133129752569,
                  1.0245923925401,
                  1.04842151668575,
                  1.07286134165,
                  1.09795939076241,
                  1.12376882255426,
                  1.15034938037601,
                  1.17776855244864,
                  1.20610300126827,
                  1.23544034156125,
                  1.26588137468199,
                  1.29754292861655,
                  1.3305615131789,
                  1.36509809021206,
                  1.4013443963101,
                  1.43953147093846,
                  1.47994138903519,
                  1.52292377133927,
                  1.56891963249893,
                  1.61849689446641,
                  1.67240521506176,
                  1.73166439612225,
                  1.79771475351869,
                  1.8726906799231,
                  1.95996398454005,
                  2.06536065002228,
                  2.20041058121003,
                  2.39397979981851,
                  2.77292129460866
                ],
                "qq_sample": [
                  1.2,
                  1.4,
                  1.4,
                  1.6,
                  1.8,
                  1.8,
                  1.8,
                  1.8,
                  1.8,
                  1.8,
                  1.8,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.0,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.2,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.4,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.6,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  2.8,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.0,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.2,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.4,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.6,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  3.8,
                  4.0,
                  4.0,
                  4.0,
                  4.0,
                  4.0,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.2,
                  4.4,
                  4.4,
                  4.4,
                  4.6,
                  4.6,
                  4.6,
                  4.6
                ],
                "npplot_observed": [
                  1.2,
                  1.4,
                  1.6,
                  1.8,
                  2.0,
                  2.2,
                  2.4,
                  2.6,
                  2.8,
                  3.0,
                  3.2,
                  3.4,
                  3.6,
                  3.8,
                  4.0,
                  4.2,
                  4.4,
                  4.6
                ],
                "npplot_expected": [
                  -2.54112237319937,
                  -2.20258078598511,
                  -2.01219965339588,
                  -1.70391060181001,
                  -1.35068743139201,
                  -1.06407921086582,
                  -0.759566395939879,
                  -0.458756772867246,
                  -0.138933419100494,
                  0.117987770318088,
                  0.316818645427538,
                  0.545171808001167,
                  0.778177993433029,
                  1.03999431596912,
                  1.25371737199387,
                  1.50394051014749,
                  1.83640119792949,
                  2.20258078598511
                ],
                "npplot_detrended": [
                  0.106577526350139,
                  0.0415803039504063,
                  0.12474353617569,
                  0.0899988494043475,
                  0.010320043800861,
                  -0.00274381191080653,
                  -0.0337122620222287,
                  -0.060977520280341,
                  -0.107256509232574,
                  -0.0906333338366363,
                  -0.0159198441315661,
                  0.0292713581093248,
                  0.0698095374919827,
                  0.0815375797704094,
                  0.14135888856018,
                  0.164680115221082,
                  0.105763792253602,
                  0.013128569012498
                ],
                "npplot_line": [
                  -4.07581103573635,
                  1.3677218240726
                ]
              }
            },
            {
              "check_id": "pearson_correlation|zero_variance|learning_persistence",
              "check_type": "zero_variance",
              "assumption": "zero_variance",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "learning_persistence"
                ],
                "is_constant": false,
                "is_constant_preflight": false,
                "n_complete": 180
              }
            },
            {
              "check_id": "pearson_correlation|reset_linearity|learning_persistence~academic_self_efficacy",
              "check_type": "reset_linearity",
              "assumption": "linearity",
              "report_only": false,
              "statistic": 0.151119796948288,
              "p_value": 0.859856135070237,
              "passed": true,
              "severity": "ok",
              "detail": {
                "variables": [
                  "learning_persistence",
                  "academic_self_efficacy"
                ],
                "alpha": 0.05
              }
            },
            {
              "check_id": "pearson_correlation|outliers_z|academic_self_efficacy",
              "check_type": "outliers_z",
              "assumption": "outlier",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "academic_self_efficacy"
                ],
                "n_outliers": 0,
                "z_threshold": 3.29
              }
            },
            {
              "check_id": "pearson_correlation|outliers_boxplot|academic_self_efficacy",
              "check_type": "outliers_boxplot",
              "assumption": "outlier",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "academic_self_efficacy"
                ],
                "n_outliers": 1,
                "outlier_positions": [
                  108
                ],
                "fences": {
                  "lower": 0.9,
                  "upper": 4.9
                }
              }
            },
            {
              "check_id": "pearson_correlation|outliers_z|learning_persistence",
              "check_type": "outliers_z",
              "assumption": "outlier",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "learning_persistence"
                ],
                "n_outliers": 0,
                "z_threshold": 3.29
              }
            },
            {
              "check_id": "pearson_correlation|outliers_boxplot|learning_persistence",
              "check_type": "outliers_boxplot",
              "assumption": "outlier",
              "report_only": true,
              "statistic": null,
              "p_value": null,
              "passed": null,
              "severity": "info",
              "detail": {
                "variables": [
                  "learning_persistence"
                ],
                "n_outliers": 0,
                "outlier_positions": [],
                "fences": {
                  "lower": 0.6,
                  "upper": 5.4
                }
              }
            }
          ],
          "resolution": "retained",
          "resulting_test_id": "pearson_correlation",
          "requires_consultation": false,
          "ladder_steps": [
            {
              "rung": 0,
              "action": "retained",
              "justification": "All applicable assumption checks passed.",
              "succeeded": true,
              "requires_consultation": false,
              "detail": {
                "n_untested": 0,
                "untested_check_ids": []
              }
            }
          ],
          "transformations": [],
          "merges": [],
          "collinearity_resolutions": [],
          "proposals": [],
          "appendix": {
            "planned_test_id": "pearson_correlation",
            "hypothesis_id": "H1",
            "failed_checks": [],
            "untested_checks": [],
            "ladder_path": [
              "retained"
            ],
            "resolution": "retained",
            "resulting_test_id": "pearson_correlation",
            "requires_consultation": false,
            "proposals": []
          }
        }
      ],
      "schema_version": 1
    },
    "tests": {
      "entries": [
        {
          "event_type": "tests.execution_started",
          "schema_version": 1,
          "test_id": null,
          "details": {
            "n_analyses": 1
          }
        },
        {
          "event_type": "tests.test_computed",
          "schema_version": 1,
          "test_id": "pearson_correlation",
          "details": {
            "test_family": "association",
            "statistic": 6.43948427448411,
            "statistic_name": "t",
            "df1": 178.0,
            "df2": null,
            "p_value": 1.08061767649322e-09,
            "n": 180,
            "n_terms": 0
          }
        },
        {
          "event_type": "tests.effect_size_computed",
          "schema_version": 1,
          "test_id": "pearson_correlation",
          "details": {
            "name": "pearson_r",
            "value": 0.434676854081344,
            "magnitude": "medium",
            "ci_lower": 0.307995022426952,
            "ci_upper": 0.546213409029931,
            "ci_method": "fisher_z"
          }
        },
        {
          "event_type": "tests.execution_completed",
          "schema_version": 1,
          "test_id": null,
          "details": {
            "n_results": 1
          }
        }
      ],
      "results": [
        {
          "test_id": "pearson_correlation",
          "test_family": "association",
          "statistic": 6.43948427448411,
          "statistic_name": "t",
          "df1": 178.0,
          "df2": null,
          "p_value": 1.08061767649322e-09,
          "n": 180,
          "group_ns": null,
          "effect_size": {
            "name": "pearson_r",
            "value": 0.434676854081344,
            "magnitude": "medium",
            "ci_lower": 0.307995022426952,
            "ci_upper": 0.546213409029931,
            "ci_level": 0.95,
            "ci_method": "fisher_z"
          },
          "terms": null,
          "post_hoc": null,
          "coefficients": null,
          "model_fit": null,
          "model_blocks": null,
          "diagnostics": null,
          "survival_curve": null,
          "factor_analysis": null,
          "process_model": null,
          "assumptions_ref": null,
          "detail": {
            "r_squared": 0.188943967474054,
            "alternative": "two.sided",
            "points": {
              "x": [
                3,
                1.4,
                3.2,
                3.2,
                2,
                3,
                2.6,
                1.4,
                2.2,
                4.2,
                2.4,
                2.2,
                3.2,
                3.4,
                1.6,
                4.2,
                2.2,
                4.4,
                3.2,
                3.8,
                3.2,
                3.2,
                3,
                4.2,
                3.4,
                1.8,
                2,
                2.4,
                3.4,
                3.6,
                3.4,
                1.4,
                2.8,
                4.4,
                2.8,
                3,
                3.6,
                3.8,
                1.6,
                4.2,
                2.6,
                3,
                4,
                3,
                2.4,
                3.8,
                2.2,
                2.4,
                2.2,
                2.4,
                3.4,
                3,
                2.2,
                3.4,
                2,
                3.4,
                3.2,
                3.8,
                3.2,
                2.2,
                2.8,
                2.8,
                3.2,
                2.2,
                2.2,
                4,
                3,
                3.4,
                2.4,
                3.4,
                1.2,
                2,
                3.8,
                2.8,
                3,
                2.2,
                3,
                2.2,
                3.6,
                3.4,
                4.2,
                3.8,
                3.6,
                3.4,
                2.2,
                4.6,
                2.4,
                2.4,
                2.8,
                2.6,
                2.8,
                2.2,
                2.8,
                2.2,
                3.4,
                3,
                2,
                3.4,
                4,
                2.8,
                2.8,
                4,
                3,
                3.2,
                3.8,
                4.2,
                1.8,
                5,
                3.2,
                2.8,
                4,
                3.2,
                2.6,
                2.4,
                3,
                3.4,
                3,
                3.2,
                2,
                3.8,
                2.8,
                2.4,
                3.6,
                3.6,
                3.2,
                3,
                3,
                4,
                1.4,
                2.4,
                2.6,
                2.8,
                2.8,
                4.4,
                2.2,
                4,
                2.2,
                3.8,
                2.8,
                4.4,
                2.4,
                1.6,
                2.8,
                2.4,
                2.6,
                2.8,
                3.6,
                3.4,
                3.8,
                2.4,
                2.4,
                4.4,
                4.2,
                3.2,
                2.2,
                3.4,
                4.6,
                2.4,
                3.8,
                2.4,
                3.2,
                1.4,
                3.4,
                2.4,
                2.6,
                3,
                2.6,
                2.8,
                3,
                3.6,
                2.4,
                2.4,
                3.2,
                3.4,
                3.6,
                2.8,
                3.2,
                3,
                3.6,
                3.8
              ],
              "y": [
                3,
                2.8,
                2.2,
                2.4,
                2,
                3,
                4.2,
                2.2,
                2.6,
                3.8,
                2,
                2.8,
                3.8,
                2.8,
                2.4,
                3.4,
                2,
                2.2,
                2.4,
                2.8,
                3.6,
                2.4,
                3,
                2.2,
                4.4,
                2,
                2.6,
                2.8,
                2.6,
                4.2,
                3.6,
                1.4,
                2.8,
                2.2,
                2.8,
                2.4,
                3.4,
                2.8,
                1.2,
                3.6,
                2.8,
                2.6,
                4.4,
                2.4,
                2.8,
                4.2,
                2.4,
                2.4,
                2.6,
                2.2,
                3.4,
                3.8,
                1.8,
                2.8,
                1.8,
                2.4,
                2.2,
                2.4,
                2.8,
                1.8,
                3.2,
                4.2,
                4,
                2.8,
                2.8,
                4,
                4.2,
                3.6,
                2,
                2.2,
                3.4,
                2,
                3.8,
                2.8,
                4.2,
                1.6,
                4,
                3.6,
                2.6,
                3.8,
                3.8,
                3.2,
                3.2,
                2.2,
                2.4,
                4,
                3.2,
                3,
                3.2,
                3.8,
                3,
                3.2,
                2.6,
                1.8,
                4,
                2.8,
                2.4,
                3,
                4.6,
                3,
                3.6,
                3.6,
                3,
                2.6,
                3.2,
                2.6,
                3.8,
                4.6,
                2.8,
                2.4,
                3.6,
                3.4,
                3.6,
                3.2,
                2.8,
                4.2,
                3,
                3.4,
                3.4,
                3.4,
                2.6,
                3.2,
                3.4,
                3.6,
                2.6,
                4.2,
                3.4,
                4.6,
                2,
                2.6,
                3.2,
                2.8,
                4.2,
                2,
                1.4,
                1.8,
                2.8,
                2.4,
                3,
                3.4,
                1.8,
                2.8,
                3.2,
                3.2,
                1.8,
                2,
                3.8,
                3.6,
                3.6,
                2.6,
                2.4,
                4.4,
                2.6,
                3.2,
                2.8,
                2.4,
                4.6,
                3.8,
                3.8,
                2.2,
                3.6,
                2.6,
                3.2,
                3.2,
                2.8,
                2.8,
                3,
                2.6,
                3.4,
                3.6,
                2.6,
                2.2,
                2.6,
                2.8,
                2.4,
                2.4,
                3.2,
                3.4,
                2.8,
                3.2
              ]
            },
            "fit": {
              "intercept": 1.71802870708945,
              "slope": 0.421437537521149
            }
          }
        }
      ],
      "schema_version": 1
    },
    "multiplicity": {
      "schema_version": 1,
      "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
      "families": [
        {
          "family_id": "confirmatory",
          "family_kind": "confirmatory",
          "correction_rule": "holm",
          "r_method": "holm",
          "family_size_planned": 1,
          "family_size_effective": 1,
          "members": [
            {
              "analysis_id": "pearson_correlation|H1",
              "hypothesis_id": "H1",
              "test_id": "pearson_correlation",
              "values": [
                {
                  "key": "primary",
                  "raw": 1.08061767649322e-09,
                  "adjusted": 1.08061767649322e-09
                }
              ],
              "not_adjustable_reason": null
            }
          ]
        }
      ],
      "entries": [
        {
          "event_type": "sap.multiplicity_applied",
          "schema_version": 3,
          "order_ref": null,
          "analysis_id": null,
          "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
          "details": {
            "family_id": "confirmatory",
            "family_kind": "confirmatory",
            "correction_rule": "holm",
            "family_size_planned": 1,
            "family_size_effective": 1,
            "member_analysis_ids": [
              "pearson_correlation|H1"
            ]
          }
        }
      ]
    },
    "alternatives": {
      "hypotheses": {
        "H1": {
          "analysis_id": "pearson_correlation|H1",
          "battery": {
            "schema_version": 1,
            "hypothesis_id": "H1",
            "analysis_id": "pearson_correlation|H1",
            "test_id": "pearson_correlation",
            "results": [
              {
                "item": {
                  "item_id": "ladder_proposal:transform",
                  "kind": "transform",
                  "params": {
                    "transformable_roles": [
                      "x",
                      "y"
                    ],
                    "permitted_transforms": [
                      "log",
                      "sqrt",
                      "reciprocal",
                      "box_cox"
                    ]
                  },
                  "source": "ladder_proposal",
                  "trigger_policy": "primary_nonsignificant"
                },
                "result": null,
                "sub_results": [],
                "degenerate_reason": "skipped_trigger_policy_not_fired",
                "caveat_keys": [],
                "adoption_requirement_key": "adoption_requires_theoretical_justification",
                "detail": {
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "item": {
                  "item_id": "non_parametric_equivalent",
                  "kind": "non_parametric",
                  "params": {
                    "equivalent_test_id": "spearman_correlation"
                  },
                  "source": "battery_fixed",
                  "trigger_policy": "always"
                },
                "result": {
                  "test_id": "spearman_correlation",
                  "test_family": "association",
                  "statistic": 578873.474586122,
                  "statistic_name": "S",
                  "df1": null,
                  "df2": null,
                  "p_value": 1.79525476501739e-08,
                  "n": 180,
                  "group_ns": null,
                  "effect_size": {
                    "name": "spearman_rho",
                    "value": 0.404432776128767,
                    "magnitude": "medium",
                    "ci_lower": 0.274401306024408,
                    "ci_upper": 0.519939744198873,
                    "ci_level": 0.95,
                    "ci_method": "fisher_z"
                  },
                  "terms": null,
                  "post_hoc": null,
                  "coefficients": null,
                  "model_fit": null,
                  "model_blocks": null,
                  "diagnostics": null,
                  "survival_curve": null,
                  "factor_analysis": null,
                  "process_model": null,
                  "assumptions_ref": null,
                  "detail": {
                    "points": {
                      "x": [
                        3,
                        1.4,
                        3.2,
                        3.2,
                        2,
                        3,
                        2.6,
                        1.4,
                        2.2,
                        4.2,
                        2.4,
                        2.2,
                        3.2,
                        3.4,
                        1.6,
                        4.2,
                        2.2,
                        4.4,
                        3.2,
                        3.8,
                        3.2,
                        3.2,
                        3,
                        4.2,
                        3.4,
                        1.8,
                        2,
                        2.4,
                        3.4,
                        3.6,
                        3.4,
                        1.4,
                        2.8,
                        4.4,
                        2.8,
                        3,
                        3.6,
                        3.8,
                        1.6,
                        4.2,
                        2.6,
                        3,
                        4,
                        3,
                        2.4,
                        3.8,
                        2.2,
                        2.4,
                        2.2,
                        2.4,
                        3.4,
                        3,
                        2.2,
                        3.4,
                        2,
                        3.4,
                        3.2,
                        3.8,
                        3.2,
                        2.2,
                        2.8,
                        2.8,
                        3.2,
                        2.2,
                        2.2,
                        4,
                        3,
                        3.4,
                        2.4,
                        3.4,
                        1.2,
                        2,
                        3.8,
                        2.8,
                        3,
                        2.2,
                        3,
                        2.2,
                        3.6,
                        3.4,
                        4.2,
                        3.8,
                        3.6,
                        3.4,
                        2.2,
                        4.6,
                        2.4,
                        2.4,
                        2.8,
                        2.6,
                        2.8,
                        2.2,
                        2.8,
                        2.2,
                        3.4,
                        3,
                        2,
                        3.4,
                        4,
                        2.8,
                        2.8,
                        4,
                        3,
                        3.2,
                        3.8,
                        4.2,
                        1.8,
                        5,
                        3.2,
                        2.8,
                        4,
                        3.2,
                        2.6,
                        2.4,
                        3,
                        3.4,
                        3,
                        3.2,
                        2,
                        3.8,
                        2.8,
                        2.4,
                        3.6,
                        3.6,
                        3.2,
                        3,
                        3,
                        4,
                        1.4,
                        2.4,
                        2.6,
                        2.8,
                        2.8,
                        4.4,
                        2.2,
                        4,
                        2.2,
                        3.8,
                        2.8,
                        4.4,
                        2.4,
                        1.6,
                        2.8,
                        2.4,
                        2.6,
                        2.8,
                        3.6,
                        3.4,
                        3.8,
                        2.4,
                        2.4,
                        4.4,
                        4.2,
                        3.2,
                        2.2,
                        3.4,
                        4.6,
                        2.4,
                        3.8,
                        2.4,
                        3.2,
                        1.4,
                        3.4,
                        2.4,
                        2.6,
                        3,
                        2.6,
                        2.8,
                        3,
                        3.6,
                        2.4,
                        2.4,
                        3.2,
                        3.4,
                        3.6,
                        2.8,
                        3.2,
                        3,
                        3.6,
                        3.8
                      ],
                      "y": [
                        3,
                        2.8,
                        2.2,
                        2.4,
                        2,
                        3,
                        4.2,
                        2.2,
                        2.6,
                        3.8,
                        2,
                        2.8,
                        3.8,
                        2.8,
                        2.4,
                        3.4,
                        2,
                        2.2,
                        2.4,
                        2.8,
                        3.6,
                        2.4,
                        3,
                        2.2,
                        4.4,
                        2,
                        2.6,
                        2.8,
                        2.6,
                        4.2,
                        3.6,
                        1.4,
                        2.8,
                        2.2,
                        2.8,
                        2.4,
                        3.4,
                        2.8,
                        1.2,
                        3.6,
                        2.8,
                        2.6,
                        4.4,
                        2.4,
                        2.8,
                        4.2,
                        2.4,
                        2.4,
                        2.6,
                        2.2,
                        3.4,
                        3.8,
                        1.8,
                        2.8,
                        1.8,
                        2.4,
                        2.2,
                        2.4,
                        2.8,
                        1.8,
                        3.2,
                        4.2,
                        4,
                        2.8,
                        2.8,
                        4,
                        4.2,
                        3.6,
                        2,
                        2.2,
                        3.4,
                        2,
                        3.8,
                        2.8,
                        4.2,
                        1.6,
                        4,
                        3.6,
                        2.6,
                        3.8,
                        3.8,
                        3.2,
                        3.2,
                        2.2,
                        2.4,
                        4,
                        3.2,
                        3,
                        3.2,
                        3.8,
                        3,
                        3.2,
                        2.6,
                        1.8,
                        4,
                        2.8,
                        2.4,
                        3,
                        4.6,
                        3,
                        3.6,
                        3.6,
                        3,
                        2.6,
                        3.2,
                        2.6,
                        3.8,
                        4.6,
                        2.8,
                        2.4,
                        3.6,
                        3.4,
                        3.6,
                        3.2,
                        2.8,
                        4.2,
                        3,
                        3.4,
                        3.4,
                        3.4,
                        2.6,
                        3.2,
                        3.4,
                        3.6,
                        2.6,
                        4.2,
                        3.4,
                        4.6,
                        2,
                        2.6,
                        3.2,
                        2.8,
                        4.2,
                        2,
                        1.4,
                        1.8,
                        2.8,
                        2.4,
                        3,
                        3.4,
                        1.8,
                        2.8,
                        3.2,
                        3.2,
                        1.8,
                        2,
                        3.8,
                        3.6,
                        3.6,
                        2.6,
                        2.4,
                        4.4,
                        2.6,
                        3.2,
                        2.8,
                        2.4,
                        4.6,
                        3.8,
                        3.8,
                        2.2,
                        3.6,
                        2.6,
                        3.2,
                        3.2,
                        2.8,
                        2.8,
                        3,
                        2.6,
                        3.4,
                        3.6,
                        2.6,
                        2.2,
                        2.6,
                        2.8,
                        2.4,
                        2.4,
                        3.2,
                        3.4,
                        2.8,
                        3.2
                      ]
                    }
                  }
                },
                "sub_results": [],
                "degenerate_reason": null,
                "caveat_keys": [
                  "non_parametric_primary_use"
                ],
                "adoption_requirement_key": "adoption_requires_theoretical_justification",
                "detail": {
                  "equivalent_test_id": "spearman_correlation"
                }
              },
              {
                "item": {
                  "item_id": "one_tailed_variant",
                  "kind": "one_tailed",
                  "params": {
                    "direction_declared": true,
                    "caveat_policy": "declared"
                  },
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                },
                "result": null,
                "sub_results": [],
                "degenerate_reason": "skipped_trigger_policy_not_fired",
                "caveat_keys": [],
                "adoption_requirement_key": "adoption_requires_theoretical_justification",
                "detail": {
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "item": {
                  "item_id": "power_analysis",
                  "kind": "power",
                  "params": {
                    "quantities": [
                      "minimal_detectable_effect",
                      "observed_power"
                    ],
                    "observed_power_caveat": "post_hoc_direct_function_of_observed_p"
                  },
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                },
                "result": null,
                "sub_results": [],
                "degenerate_reason": "skipped_trigger_policy_not_fired",
                "caveat_keys": [],
                "adoption_requirement_key": "adoption_requires_theoretical_justification",
                "detail": {
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "item": {
                  "item_id": "outlier_sensitivity_rerun",
                  "kind": "outlier_sensitivity",
                  "params": {
                    "outlier_rule": "abs_z_gt_3_or_cooks_gt_4_over_n"
                  },
                  "source": "battery_fixed",
                  "trigger_policy": "always"
                },
                "result": null,
                "sub_results": [],
                "degenerate_reason": "inapplicable_outlier_no_continuous_role",
                "caveat_keys": [
                  "outlier_sensitivity"
                ],
                "adoption_requirement_key": "adoption_requires_theoretical_justification",
                "detail": {}
              },
              {
                "item": {
                  "item_id": "moderator_scan",
                  "kind": "moderator_scan",
                  "params": {
                    "moderators": [],
                    "multiplicity_correction": "bh_fdr",
                    "exploratory_caveat": true
                  },
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                },
                "result": null,
                "sub_results": [],
                "degenerate_reason": "skipped_trigger_policy_not_fired",
                "caveat_keys": [],
                "adoption_requirement_key": "adoption_requires_theoretical_justification",
                "detail": {
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "item": {
                  "item_id": "tost",
                  "kind": "equivalence",
                  "params": {
                    "sesoi_cohens_d": 0.2
                  },
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                },
                "result": null,
                "sub_results": [],
                "degenerate_reason": "skipped_trigger_policy_not_fired",
                "caveat_keys": [],
                "adoption_requirement_key": "adoption_requires_theoretical_justification",
                "detail": {
                  "trigger_policy": "primary_nonsignificant"
                }
              }
            ],
            "admit_entries": [
              {
                "event_type": "sap.battery_item_admitted",
                "schema_version": 3,
                "order_ref": null,
                "analysis_id": "pearson_correlation|H1",
                "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
                "details": {
                  "item_id": "ladder_proposal:transform",
                  "kind": "transform",
                  "source": "ladder_proposal",
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "event_type": "sap.battery_item_admitted",
                "schema_version": 3,
                "order_ref": null,
                "analysis_id": "pearson_correlation|H1",
                "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
                "details": {
                  "item_id": "non_parametric_equivalent",
                  "kind": "non_parametric",
                  "source": "battery_fixed",
                  "trigger_policy": "always"
                }
              },
              {
                "event_type": "sap.battery_item_admitted",
                "schema_version": 3,
                "order_ref": null,
                "analysis_id": "pearson_correlation|H1",
                "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
                "details": {
                  "item_id": "one_tailed_variant",
                  "kind": "one_tailed",
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "event_type": "sap.battery_item_admitted",
                "schema_version": 3,
                "order_ref": null,
                "analysis_id": "pearson_correlation|H1",
                "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
                "details": {
                  "item_id": "power_analysis",
                  "kind": "power",
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "event_type": "sap.battery_item_admitted",
                "schema_version": 3,
                "order_ref": null,
                "analysis_id": "pearson_correlation|H1",
                "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
                "details": {
                  "item_id": "outlier_sensitivity_rerun",
                  "kind": "outlier_sensitivity",
                  "source": "battery_fixed",
                  "trigger_policy": "always"
                }
              },
              {
                "event_type": "sap.battery_item_admitted",
                "schema_version": 3,
                "order_ref": null,
                "analysis_id": "pearson_correlation|H1",
                "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
                "details": {
                  "item_id": "moderator_scan",
                  "kind": "moderator_scan",
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                }
              },
              {
                "event_type": "sap.battery_item_admitted",
                "schema_version": 3,
                "order_ref": null,
                "analysis_id": "pearson_correlation|H1",
                "sap_hash": "0c3da454dd86a222c2fa9458f23896dd01ee400eba359310326ce3f3951bc249",
                "details": {
                  "item_id": "tost",
                  "kind": "equivalence",
                  "source": "battery_fixed",
                  "trigger_policy": "primary_nonsignificant"
                }
              }
            ]
          },
          "power_explanation": null,
          "primary_p_value": 1.08061767649322e-09,
          "significance_threshold": 0.05,
          "classification": "supported",
          "trigger_policy": "primary_significant",
          "selected_item_ids": [
            "non_parametric_equivalent",
            "outlier_sensitivity_rerun"
          ],
          "robustness": {
            "hypothesis_id": "H1",
            "trigger_policy": "primary_significant",
            "n_executed": 1,
            "n_survived": 1,
            "checks": [
              {
                "item_id": "non_parametric_equivalent",
                "kind": "non_parametric",
                "label_key": "label_non_parametric",
                "outcome": "survived",
                "reason_key": null
              },
              {
                "item_id": "outlier_sensitivity_rerun",
                "kind": "outlier_sensitivity",
                "label_key": "label_outlier_sensitivity",
                "outcome": "degenerate",
                "reason_key": "inapplicable_outlier_no_continuous_role"
              }
            ]
          }
        }
      }
    },
    "descriptives": {
      "schema_version": 1,
      "stage": "descriptives",
      "variables": [
        {
          "variable": "d1",
          "declared_level": "nominal",
          "effective_level": "nominal",
          "applied_level": "nominal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0
          },
          "supplement": {},
          "frequencies": [
            {
              "value": "second",
              "count": 63,
              "proportion": 0.35
            },
            {
              "value": "third",
              "count": 61,
              "proportion": 0.338888888888889
            },
            {
              "value": "first",
              "count": 56,
              "proportion": 0.311111111111111
            }
          ],
          "histogram": null,
          "value_counts": null,
          "five_number": null,
          "modes": [
            "second"
          ],
          "is_multimodal": false,
          "flags": [],
          "rationale_code": "nominal_frequencies_mode"
        },
        {
          "variable": "q1_1",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 2.99444444444444,
            "sd": 0.96008159698746
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              11,
              43,
              0,
              69,
              0,
              50,
              0,
              7
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 11,
              "proportion": 0.0611111111111111
            },
            {
              "value": 2.0,
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": 3.0,
              "count": 69,
              "proportion": 0.383333333333333
            },
            {
              "value": 4.0,
              "count": 50,
              "proportion": 0.277777777777778
            },
            {
              "value": 5.0,
              "count": 7,
              "proportion": 0.0388888888888889
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q1_2",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 2.99444444444444,
            "sd": 1.01660637242219
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              13,
              43,
              0,
              67,
              0,
              46,
              0,
              11
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": 2.0,
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": 3.0,
              "count": 67,
              "proportion": 0.372222222222222
            },
            {
              "value": 4.0,
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": 5.0,
              "count": 11,
              "proportion": 0.0611111111111111
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q1_3",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 2.96111111111111,
            "sd": 0.976619919944437
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              15,
              36,
              0,
              78,
              0,
              43,
              0,
              8
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 15,
              "proportion": 0.0833333333333333
            },
            {
              "value": 2.0,
              "count": 36,
              "proportion": 0.2
            },
            {
              "value": 3.0,
              "count": 78,
              "proportion": 0.433333333333333
            },
            {
              "value": 4.0,
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": 5.0,
              "count": 8,
              "proportion": 0.0444444444444444
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q1_4",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 3.0,
            "sd": 1.01936556016544
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              8,
              56,
              0,
              57,
              0,
              46,
              0,
              13
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 8,
              "proportion": 0.0444444444444444
            },
            {
              "value": 2.0,
              "count": 56,
              "proportion": 0.311111111111111
            },
            {
              "value": 3.0,
              "count": 57,
              "proportion": 0.316666666666667
            },
            {
              "value": 4.0,
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": 5.0,
              "count": 13,
              "proportion": 0.0722222222222222
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q1_5",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 3.02222222222222,
            "sd": 0.996953771169849
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              13,
              40,
              0,
              65,
              0,
              54,
              0,
              8
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": 2.0,
              "count": 40,
              "proportion": 0.222222222222222
            },
            {
              "value": 3.0,
              "count": 65,
              "proportion": 0.361111111111111
            },
            {
              "value": 4.0,
              "count": 54,
              "proportion": 0.3
            },
            {
              "value": 5.0,
              "count": 8,
              "proportion": 0.0444444444444444
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q2_1",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 3.01111111111111,
            "sd": 0.991522101100538
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              7,
              49,
              0,
              76,
              0,
              31,
              0,
              17
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 7,
              "proportion": 0.0388888888888889
            },
            {
              "value": 2.0,
              "count": 49,
              "proportion": 0.272222222222222
            },
            {
              "value": 3.0,
              "count": 76,
              "proportion": 0.422222222222222
            },
            {
              "value": 4.0,
              "count": 31,
              "proportion": 0.172222222222222
            },
            {
              "value": 5.0,
              "count": 17,
              "proportion": 0.0944444444444444
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q2_2",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 2.97777777777778,
            "sd": 1.00254177279918
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              10,
              48,
              0,
              72,
              0,
              36,
              0,
              14
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 10,
              "proportion": 0.0555555555555556
            },
            {
              "value": 2.0,
              "count": 48,
              "proportion": 0.266666666666667
            },
            {
              "value": 3.0,
              "count": 72,
              "proportion": 0.4
            },
            {
              "value": 4.0,
              "count": 36,
              "proportion": 0.2
            },
            {
              "value": 5.0,
              "count": 14,
              "proportion": 0.0777777777777778
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q2_3",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 2.95,
            "sd": 1.04253129851333
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              16,
              42,
              0,
              69,
              0,
              41,
              0,
              12
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 16,
              "proportion": 0.0888888888888889
            },
            {
              "value": 2.0,
              "count": 42,
              "proportion": 0.233333333333333
            },
            {
              "value": 3.0,
              "count": 69,
              "proportion": 0.383333333333333
            },
            {
              "value": 4.0,
              "count": 41,
              "proportion": 0.227777777777778
            },
            {
              "value": 5.0,
              "count": 12,
              "proportion": 0.0666666666666667
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q2_4",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 2.96111111111111,
            "sd": 0.982323598611893
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              13,
              43,
              0,
              70,
              0,
              46,
              0,
              8
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": 2.0,
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": 3.0,
              "count": 70,
              "proportion": 0.388888888888889
            },
            {
              "value": 4.0,
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": 5.0,
              "count": 8,
              "proportion": 0.0444444444444444
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "q2_5",
          "declared_level": "ordinal",
          "effective_level": "ordinal",
          "applied_level": "ordinal",
          "is_scale_score": false,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "median": 3.0,
            "q1": 2.0,
            "q3": 4.0,
            "iqr": 2.0,
            "min": 1.0,
            "max": 5.0
          },
          "supplement": {
            "mean": 3.0,
            "sd": 1.03567644480505
          },
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              12,
              46,
              0,
              66,
              0,
              42,
              0,
              14
            ]
          },
          "value_counts": [
            {
              "value": 1.0,
              "count": 12,
              "proportion": 0.0666666666666667
            },
            {
              "value": 2.0,
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": 3.0,
              "count": 66,
              "proportion": 0.366666666666667
            },
            {
              "value": 4.0,
              "count": 42,
              "proportion": 0.233333333333333
            },
            {
              "value": 5.0,
              "count": 14,
              "proportion": 0.0777777777777778
            }
          ],
          "five_number": [
            1.0,
            2.0,
            3.0,
            4.0,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "ordinal_median_iqr"
        },
        {
          "variable": "academic_self_efficacy",
          "declared_level": "interval",
          "effective_level": "interval",
          "applied_level": "interval",
          "is_scale_score": true,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "mean": 2.99444444444444,
            "sd": 0.754111428885458,
            "min": 1.2,
            "max": 5.0,
            "skewness": 0.0344691885948991,
            "kurtosis": -0.348246051105732
          },
          "supplement": {},
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              6,
              11,
              37,
              46,
              36,
              29,
              12,
              3
            ]
          },
          "value_counts": [
            {
              "value": 1.2,
              "count": 1,
              "proportion": 0.00555555555555556
            },
            {
              "value": 1.4,
              "count": 5,
              "proportion": 0.0277777777777778
            },
            {
              "value": 1.6,
              "count": 3,
              "proportion": 0.0166666666666667
            },
            {
              "value": 1.8,
              "count": 2,
              "proportion": 0.0111111111111111
            },
            {
              "value": 2.0,
              "count": 6,
              "proportion": 0.0333333333333333
            },
            {
              "value": 2.2,
              "count": 17,
              "proportion": 0.0944444444444444
            },
            {
              "value": 2.4,
              "count": 20,
              "proportion": 0.111111111111111
            },
            {
              "value": 2.6,
              "count": 8,
              "proportion": 0.0444444444444444
            },
            {
              "value": 2.8,
              "count": 19,
              "proportion": 0.105555555555556
            },
            {
              "value": 3.0,
              "count": 19,
              "proportion": 0.105555555555556
            },
            {
              "value": 3.2,
              "count": 18,
              "proportion": 0.1
            },
            {
              "value": 3.4,
              "count": 18,
              "proportion": 0.1
            },
            {
              "value": 3.6,
              "count": 10,
              "proportion": 0.0555555555555556
            },
            {
              "value": 3.8,
              "count": 12,
              "proportion": 0.0666666666666667
            },
            {
              "value": 4.0,
              "count": 7,
              "proportion": 0.0388888888888889
            },
            {
              "value": 4.2,
              "count": 7,
              "proportion": 0.0388888888888889
            },
            {
              "value": 4.4,
              "count": 5,
              "proportion": 0.0277777777777778
            },
            {
              "value": 4.6,
              "count": 2,
              "proportion": 0.0111111111111111
            },
            {
              "value": 5.0,
              "count": 1,
              "proportion": 0.00555555555555556
            }
          ],
          "five_number": [
            1.2,
            2.4,
            3.0,
            3.4,
            5.0
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "continuous_mean_sd"
        },
        {
          "variable": "learning_persistence",
          "declared_level": "interval",
          "effective_level": "interval",
          "applied_level": "interval",
          "is_scale_score": true,
          "reported": {
            "n": 180,
            "n_missing": 0,
            "mean": 2.98,
            "sd": 0.731142826267368,
            "min": 1.2,
            "max": 4.6,
            "skewness": 0.170424931577444,
            "kurtosis": -0.481534152234288
          },
          "supplement": {},
          "frequencies": null,
          "histogram": {
            "breaks": [
              1.0,
              1.5,
              2.0,
              2.5,
              3.0,
              3.5,
              4.0,
              4.5,
              5.0
            ],
            "counts": [
              3,
              17,
              29,
              55,
              30,
              30,
              12,
              4
            ]
          },
          "value_counts": [
            {
              "value": 1.2,
              "count": 1,
              "proportion": 0.00555555555555556
            },
            {
              "value": 1.4,
              "count": 2,
              "proportion": 0.0111111111111111
            },
            {
              "value": 1.6,
              "count": 1,
              "proportion": 0.00555555555555556
            },
            {
              "value": 1.8,
              "count": 7,
              "proportion": 0.0388888888888889
            },
            {
              "value": 2.0,
              "count": 9,
              "proportion": 0.05
            },
            {
              "value": 2.2,
              "count": 11,
              "proportion": 0.0611111111111111
            },
            {
              "value": 2.4,
              "count": 18,
              "proportion": 0.1
            },
            {
              "value": 2.6,
              "count": 18,
              "proportion": 0.1
            },
            {
              "value": 2.8,
              "count": 26,
              "proportion": 0.144444444444444
            },
            {
              "value": 3.0,
              "count": 11,
              "proportion": 0.0611111111111111
            },
            {
              "value": 3.2,
              "count": 17,
              "proportion": 0.0944444444444444
            },
            {
              "value": 3.4,
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": 3.6,
              "count": 14,
              "proportion": 0.0777777777777778
            },
            {
              "value": 3.8,
              "count": 11,
              "proportion": 0.0611111111111111
            },
            {
              "value": 4.0,
              "count": 5,
              "proportion": 0.0277777777777778
            },
            {
              "value": 4.2,
              "count": 9,
              "proportion": 0.05
            },
            {
              "value": 4.4,
              "count": 3,
              "proportion": 0.0166666666666667
            },
            {
              "value": 4.6,
              "count": 4,
              "proportion": 0.0222222222222222
            }
          ],
          "five_number": [
            1.2,
            2.4,
            2.8,
            3.6,
            4.6
          ],
          "modes": null,
          "is_multimodal": null,
          "flags": [],
          "rationale_code": "continuous_mean_sd"
        }
      ],
      "not_described": [],
      "audit": [
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "d1",
          "details": {
            "declared_level": "nominal",
            "effective_level": "nominal",
            "applied_level": "nominal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "frequencies",
              "mode"
            ],
            "supplement_statistic_names": [],
            "rationale_code": "nominal_frequencies_mode",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q1_1",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q1_2",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q1_3",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q1_4",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q1_5",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q2_1",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q2_2",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q2_3",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q2_4",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "q2_5",
          "details": {
            "declared_level": "ordinal",
            "effective_level": "ordinal",
            "applied_level": "ordinal",
            "is_scale_score": false,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "median",
              "q1",
              "q3",
              "iqr",
              "min",
              "max"
            ],
            "supplement_statistic_names": [
              "mean",
              "sd"
            ],
            "rationale_code": "ordinal_median_iqr",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "academic_self_efficacy",
          "details": {
            "declared_level": "interval",
            "effective_level": "interval",
            "applied_level": "interval",
            "is_scale_score": true,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "mean",
              "sd",
              "min",
              "max",
              "skewness",
              "kurtosis"
            ],
            "supplement_statistic_names": [],
            "rationale_code": "continuous_mean_sd",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.scale_score_treated_continuous",
          "schema_version": 1,
          "variable": "academic_self_efficacy",
          "details": {
            "declared_level": "interval",
            "effective_level": "interval",
            "rationale_code": "scale_score_treated_continuous"
          }
        },
        {
          "event_type": "descriptives.policy_applied",
          "schema_version": 1,
          "variable": "learning_persistence",
          "details": {
            "declared_level": "interval",
            "effective_level": "interval",
            "applied_level": "interval",
            "is_scale_score": true,
            "reported_statistic_names": [
              "n",
              "n_missing",
              "mean",
              "sd",
              "min",
              "max",
              "skewness",
              "kurtosis"
            ],
            "supplement_statistic_names": [],
            "rationale_code": "continuous_mean_sd",
            "flags": []
          }
        },
        {
          "event_type": "descriptives.scale_score_treated_continuous",
          "schema_version": 1,
          "variable": "learning_persistence",
          "details": {
            "declared_level": "interval",
            "effective_level": "interval",
            "rationale_code": "scale_score_treated_continuous"
          }
        },
        {
          "event_type": "descriptives.completed",
          "schema_version": 1,
          "variable": null,
          "details": {
            "variable_count": 13,
            "effective_level_counts": {
              "interval": 2,
              "nominal": 1,
              "ordinal": 10
            },
            "scale_score_count": 2,
            "not_described_count": 0
          }
        }
      ],
      "correlations": {
        "method": "pearson",
        "columns": [
          "academic_self_efficacy",
          "learning_persistence"
        ],
        "pairs": [
          {
            "x": "learning_persistence",
            "y": "academic_self_efficacy",
            "r": 0.434676854081344,
            "p": 1.08061767649322e-09,
            "n": 180
          }
        ],
        "n_listwise": 180
      },
      "item_distributions": [
        {
          "scale_id": "academic_self_efficacy",
          "item": "q1_1",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 69,
              "proportion": 0.383333333333333
            },
            {
              "value": "4",
              "count": 50,
              "proportion": 0.277777777777778
            },
            {
              "value": "2",
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": "1",
              "count": 11,
              "proportion": 0.0611111111111111
            },
            {
              "value": "5",
              "count": 7,
              "proportion": 0.0388888888888889
            }
          ],
          "mean": 2.99444444444444,
          "sd": 0.96008159698746,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "academic_self_efficacy",
          "item": "q1_2",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 67,
              "proportion": 0.372222222222222
            },
            {
              "value": "4",
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": "2",
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": "1",
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": "5",
              "count": 11,
              "proportion": 0.0611111111111111
            }
          ],
          "mean": 2.99444444444444,
          "sd": 1.01660637242219,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "academic_self_efficacy",
          "item": "q1_3",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 78,
              "proportion": 0.433333333333333
            },
            {
              "value": "4",
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": "2",
              "count": 36,
              "proportion": 0.2
            },
            {
              "value": "1",
              "count": 15,
              "proportion": 0.0833333333333333
            },
            {
              "value": "5",
              "count": 8,
              "proportion": 0.0444444444444444
            }
          ],
          "mean": 2.96111111111111,
          "sd": 0.976619919944437,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "academic_self_efficacy",
          "item": "q1_4",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 57,
              "proportion": 0.316666666666667
            },
            {
              "value": "2",
              "count": 56,
              "proportion": 0.311111111111111
            },
            {
              "value": "4",
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": "5",
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": "1",
              "count": 8,
              "proportion": 0.0444444444444444
            }
          ],
          "mean": 3.0,
          "sd": 1.01936556016544,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "academic_self_efficacy",
          "item": "q1_5",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 65,
              "proportion": 0.361111111111111
            },
            {
              "value": "4",
              "count": 54,
              "proportion": 0.3
            },
            {
              "value": "2",
              "count": 40,
              "proportion": 0.222222222222222
            },
            {
              "value": "1",
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": "5",
              "count": 8,
              "proportion": 0.0444444444444444
            }
          ],
          "mean": 3.02222222222222,
          "sd": 0.996953771169849,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "learning_persistence",
          "item": "q2_1",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 76,
              "proportion": 0.422222222222222
            },
            {
              "value": "2",
              "count": 49,
              "proportion": 0.272222222222222
            },
            {
              "value": "4",
              "count": 31,
              "proportion": 0.172222222222222
            },
            {
              "value": "5",
              "count": 17,
              "proportion": 0.0944444444444444
            },
            {
              "value": "1",
              "count": 7,
              "proportion": 0.0388888888888889
            }
          ],
          "mean": 3.01111111111111,
          "sd": 0.991522101100538,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "learning_persistence",
          "item": "q2_2",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 72,
              "proportion": 0.4
            },
            {
              "value": "2",
              "count": 48,
              "proportion": 0.266666666666667
            },
            {
              "value": "4",
              "count": 36,
              "proportion": 0.2
            },
            {
              "value": "5",
              "count": 14,
              "proportion": 0.0777777777777778
            },
            {
              "value": "1",
              "count": 10,
              "proportion": 0.0555555555555556
            }
          ],
          "mean": 2.97777777777778,
          "sd": 1.00254177279918,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "learning_persistence",
          "item": "q2_3",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 69,
              "proportion": 0.383333333333333
            },
            {
              "value": "2",
              "count": 42,
              "proportion": 0.233333333333333
            },
            {
              "value": "4",
              "count": 41,
              "proportion": 0.227777777777778
            },
            {
              "value": "1",
              "count": 16,
              "proportion": 0.0888888888888889
            },
            {
              "value": "5",
              "count": 12,
              "proportion": 0.0666666666666667
            }
          ],
          "mean": 2.95,
          "sd": 1.04253129851333,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "learning_persistence",
          "item": "q2_4",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 70,
              "proportion": 0.388888888888889
            },
            {
              "value": "4",
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": "2",
              "count": 43,
              "proportion": 0.238888888888889
            },
            {
              "value": "1",
              "count": 13,
              "proportion": 0.0722222222222222
            },
            {
              "value": "5",
              "count": 8,
              "proportion": 0.0444444444444444
            }
          ],
          "mean": 2.96111111111111,
          "sd": 0.982323598611893,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        },
        {
          "scale_id": "learning_persistence",
          "item": "q2_5",
          "n": 180,
          "n_missing": 0,
          "frequencies": [
            {
              "value": "3",
              "count": 66,
              "proportion": 0.366666666666667
            },
            {
              "value": "2",
              "count": 46,
              "proportion": 0.255555555555556
            },
            {
              "value": "4",
              "count": 42,
              "proportion": 0.233333333333333
            },
            {
              "value": "5",
              "count": 14,
              "proportion": 0.0777777777777778
            },
            {
              "value": "1",
              "count": 12,
              "proportion": 0.0666666666666667
            }
          ],
          "mean": 3.0,
          "sd": 1.03567644480505,
          "response_min": 1.0,
          "response_max": 5.0,
          "n_imputed": 0
        }
      ],
      "multi_response_sets": []
    },
    "scoring": {
      "method": "mean",
      "min_valid_fraction": 1.0,
      "rule_source": "consultation",
      "scales": [
        {
          "scale_id": "academic_self_efficacy",
          "column": "academic_self_efficacy",
          "status": "scored",
          "reason": null,
          "reliability_basis": "analyzed",
          "scored_columns": [
            "q1_1",
            "q1_2",
            "q1_3",
            "q1_4",
            "q1_5"
          ],
          "items": [
            "q1_1",
            "q1_2",
            "q1_3",
            "q1_4",
            "q1_5"
          ],
          "removed_items": [],
          "reversed_items": [],
          "method": "mean",
          "min_valid": 5,
          "n_scored": 180,
          "n_insufficient": 0,
          "alpha": 0.815483272389892,
          "reliable": true
        },
        {
          "scale_id": "learning_persistence",
          "column": "learning_persistence",
          "status": "scored",
          "reason": null,
          "reliability_basis": "analyzed",
          "scored_columns": [
            "q2_1",
            "q2_2",
            "q2_3",
            "q2_4",
            "q2_5"
          ],
          "items": [
            "q2_1",
            "q2_2",
            "q2_3",
            "q2_4",
            "q2_5"
          ],
          "removed_items": [],
          "reversed_items": [],
          "method": "mean",
          "min_valid": 5,
          "n_scored": 180,
          "n_insufficient": 0,
          "alpha": 0.77179653317727,
          "reliable": true
        }
      ],
      "entries": [
        {
          "event_type": "scoring.scale_scored",
          "schema_version": 1,
          "scale_id": "academic_self_efficacy",
          "details": {
            "column": "academic_self_efficacy",
            "scored_columns": [
              "q1_1",
              "q1_2",
              "q1_3",
              "q1_4",
              "q1_5"
            ],
            "method": "mean",
            "min_valid": 5,
            "n_scored": 180,
            "rule_source": "consultation"
          }
        },
        {
          "event_type": "scoring.scale_scored",
          "schema_version": 1,
          "scale_id": "learning_persistence",
          "details": {
            "column": "learning_persistence",
            "scored_columns": [
              "q2_1",
              "q2_2",
              "q2_3",
              "q2_4",
              "q2_5"
            ],
            "method": "mean",
            "min_valid": 5,
            "n_scored": 180,
            "rule_source": "consultation"
          }
        }
      ],
      "schema_version": 1
    },
    "labels": {
      "variable_labels": {
        "d1": "Year of undergraduate study",
        "q1_1": "I can understand new course material even when it is complex.",
        "q1_2": "I know how to approach an unfamiliar academic assignment.",
        "q1_3": "I can find a way to resolve a difficulty in my studies.",
        "q1_4": "I believe I can meet the requirements of my courses.",
        "q1_5": "I can use feedback to improve my academic work.",
        "q2_1": "I continue working on an assignment when it takes longer than I expected.",
        "q2_2": "After an unsuccessful attempt, I return to try again.",
        "q2_3": "I set aside regular time to make progress on my coursework.",
        "q2_4": "I complete study tasks even when my motivation is low.",
        "q2_5": "When course material is unclear, I keep looking for an explanation.",
        "academic_self_efficacy": "Academic self efficacy",
        "learning_persistence": "Learning persistence"
      },
      "value_labels": {
        "d1": {
          "first": "First year",
          "second": "Second year",
          "third": "Third year"
        }
      }
    }
  }
}
