FREQUENCIES VARIABLES=d1
  /ORDER=ANALYSIS.

Frequencies

Frequencies

Notes
Value
Datadata_analysis.sav
Active DatasetDataSet1
Filter<none>
Weight<none>
Split File<none>
N of Rows in Working Data File180
Definition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics are based on all cases with valid data for the variables used.
SyntaxFREQUENCIES VARIABLES=d1 /ORDER=ANALYSIS.
Statistics
Year of undergraduate study
Valid180
Missing0
Year of undergraduate study
FrequencyPercentValid PercentCumulative Percent
first5631.1%31.1%31.1%
second6335.0%35.0%66.1%
third6133.9%33.9%100.0%
Total180100.0%100.0%
RELIABILITY
  /VARIABLES=q1_1 q1_2 q1_3 q1_4 q1_5
  /SCALE('academic_self_efficacy') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.

Reliability

Reliability

Notes
Value
Datadata_analysis.sav
Active DatasetDataSet1
Filter<none>
Weight<none>
Split File<none>
N of Rows in Working Data File180
Definition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics are based on all cases with valid data for the variables used.
SyntaxRELIABILITY /VARIABLES=q1_1 q1_2 q1_3 q1_4 q1_5 /SCALE('academic_self_efficacy') ALL /MODEL=ALPHA /SUMMARY=TOTAL.

Scale: academic_self_efficacy

Case Processing Summary
N%
Valid180100.0%
Excluded00.0%
Total180100.0%
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's AlphaCronbach's Alpha Based on Standardized ItemsN of Items
Value.815.8165
Item-Total Statistics
Scale Mean if Item DeletedScale Variance if Item DeletedCorrected Item-Total CorrelationCronbach's Alpha if Item Deleted
I can understand new course material even when it is complex.11.9789.675.606.779
I know how to approach an unfamiliar academic assignment.11.9789.106.665.761
I can find a way to resolve a difficulty in my studies.12.0119.631.599.781
I believe I can meet the requirements of my courses.11.9729.636.560.793
I can use feedback to improve my academic work.11.9509.545.597.782
RELIABILITY
  /VARIABLES=q2_1 q2_2 q2_3 q2_4 q2_5
  /SCALE('learning_persistence') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.

Reliability

Reliability

Notes
Value
Datadata_analysis.sav
Active DatasetDataSet1
Filter<none>
Weight<none>
Split File<none>
N of Rows in Working Data File180
Definition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics are based on all cases with valid data for the variables used.
SyntaxRELIABILITY /VARIABLES=q2_1 q2_2 q2_3 q2_4 q2_5 /SCALE('learning_persistence') ALL /MODEL=ALPHA /SUMMARY=TOTAL.

Scale: learning_persistence

Case Processing Summary
N%
Valid180100.0%
Excluded00.0%
Total180100.0%
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's AlphaCronbach's Alpha Based on Standardized ItemsN of Items
Value.772.7725
Item-Total Statistics
Scale Mean if Item DeletedScale Variance if Item DeletedCorrected Item-Total CorrelationCronbach's Alpha if Item Deleted
I continue working on an assignment when it takes longer than I expected.11.8899.094.550.728
After an unsuccessful attempt, I return to try again.11.9229.234.513.740
I set aside regular time to make progress on my coursework.11.9508.819.559.725
I complete study tasks even when my motivation is low.11.9399.354.507.742
When course material is unclear, I keep looking for an explanation.11.9008.705.587.715
DESCRIPTIVES /VARIABLES=academic_self_efficacy learning_persistence
  /STATISTICS=ALL.

Descriptives

Descriptives

Notes
Value
Datadata_analysis.sav
Active DatasetDataSet1
Filter<none>
Weight<none>
Split File<none>
N of Rows in Working Data File180
Definition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics are based on all cases with valid data for the variables used.
SyntaxDESCRIPTIVES /VARIABLES=academic_self_efficacy learning_persistence /STATISTICS=ALL.
Descriptive Statistics
NRangeMinimumMaximumSumMeanStd. DeviationVarianceSkewnessKurtosis
StatisticStd. ErrorStatisticStd. ErrorStatisticStd. Error
Academic self efficacy1801.20005.00002.99440.75410.034-0.348
Learning persistence1801.20004.60002.98000.73110.170-0.482
Valid N (listwise)
EXAMINE VARIABLES=academic_self_efficacy
  /PLOT NPPLOT
  /STATISTICS NONE.
EXAMINE VARIABLES=learning_persistence
  /PLOT NPPLOT
  /STATISTICS NONE.

Explore

Explore

Notes
Value
Datadata_analysis.sav
Active DatasetDataSet1
Filter<none>
Weight<none>
Split File<none>
N of Rows in Working Data File180
Definition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics are based on all cases with valid data for the variables used.
SyntaxEXAMINE VARIABLES=academic_self_efficacy /PLOT NPPLOT /STATISTICS NONE. EXAMINE VARIABLES=learning_persistence /PLOT NPPLOT /STATISTICS NONE.
Tests of Normality
Kolmogorov-SmirnovShapiro-Wilk
StatisticdfSig.StatisticdfSig.
Academic self efficacy.085180.003.987180.107
Learning persistence.114180.000.983180.024
a. Lilliefors Significance Correction

Normal Q-Q Plot

Detrended Normal Q-Q Plot

Normal Q-Q Plot

Detrended Normal Q-Q Plot

CORRELATIONS /VARIABLES=academic_self_efficacy learning_persistence
  /PRINT=TWOTAIL SIG.

Correlations

Correlations

Notes
Value
Datadata_analysis.sav
Active DatasetDataSet1
Filter<none>
Weight<none>
Split File<none>
N of Rows in Working Data File180
Definition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics are based on all cases with valid data for the variables used.
SyntaxCORRELATIONS /VARIABLES=academic_self_efficacy learning_persistence /PRINT=TWOTAIL SIG.
Correlations
Academic self efficacyLearning persistence
Pearson CorrelationAcademic self efficacy1.000.435
Pearson CorrelationLearning persistence.4351.000
Sig. (2-tailed)Academic self efficacy.000a
Sig. (2-tailed)Learning persistence.000a
NAcademic self efficacy180180
NLearning persistence180180
a. Significance adjusted for multiple comparisons: p = .000.
GRAPH /SCATTERPLOT(BIVAR)=academic_self_efficacy WITH learning_persistence.

Graph

Graph

Notes
Value
Datadata_analysis.sav
Active DatasetDataSet1
Filter<none>
Weight<none>
Split File<none>
N of Rows in Working Data File180
Definition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics are based on all cases with valid data for the variables used.
SyntaxGRAPH /SCATTERPLOT(BIVAR)=academic_self_efficacy WITH learning_persistence.

Scatterplot