Pearson correlation: interpreting and reporting the result
A worked guide to the relationship between two questionnaire scores, with clear limits on significance, squared correlation and causal conclusions.
Read the guidePractical guides to decisions before and during statistical analysis. Start with your research question and study design.
A worked guide to the relationship between two questionnaire scores, with clear limits on significance, squared correlation and causal conclusions.
Read the guideA worked guide to questionnaire structure that separates factor analysis from components, reliability and validation claims.
Read the guideA worked comparison that distinguishes independent and paired observations, score-point differences, standardized effects and causal claims.
Read the guideRead coefficients and fit from the advanced study without confusing adjusted association with causation or R² with prediction accuracy.
Read the guideA practical guide to sample descriptions, questionnaire scores, denominators and a reporting paragraph checked against the source data.
Read the guideCheck item membership and coding, interpret alpha carefully and report two worked scale estimates with traceable inputs and outputs.
Read the guideA research-first map from your question and data structure to a defensible analysis, with examples and a checklist of decisions to document.
Read the guideOrganize the data and documentation so an analyst can understand what each row and variable means before selecting a method.
Read the guideA results chapter explains what was analyzed, what the estimates show and what the study cannot conclude.
Read the guideCompare the work and deliverables behind a quote before comparing its final price.
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