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Statistics: Analysis of SPSS Output

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Hi, these questions listed below I am having some difficulty understanding.

1. Using the SPSS output given below, interpret the data in the table for the within-subjects effects.
2. Make sure to discuss the findings of the analysis in terms of what they actually mean in the context of the study.

In the attached document I have the data output.

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Solution Summary

This solution is comprised of a detailed explanation of Repeated Measure ANOVA based on the SPSS output. This solution will be helpful in the interpretation of repeated measure ANOVA.

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Within-Subjects Factors
Measure:MEASURE_1
Recall Dependent Variable
1 Recall_60
2 Recall_70
3 Recall_80

Descriptive Statistics
Mean Std. Deviation N
Recall_60 5.4000 3.20936 5
Recall_70 4.6000 3.50714 5
Recall_80 4.0000 2.73861 5

Multivariate Testsb
Effect Value F Hypothesis df Error df Sig.
Recall Pillai's Trace .220 .423a 2.000 3.000 .689
Wilks' Lambda .780 .423a 2.000 3.000 .689
Hotelling's Trace .282 .423a 2.000 3.000 .689
Roy's Largest Root .282 .423a 2.000 3.000 .689
a. Exact statistic
b. Design: Intercept
Within Subjects Design: Recall
Mauchly's Test of Sphericityb
Measure:MEASURE_1
Within Subjects Effect Mauchly's W Approx. ...

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