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Assessing Within Subject Effects

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Please see the attached copy for the data.
1. Using the SPSS output attached, 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 (example given in the lecture for the effects of room temperature on memory).

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The solution assists with assessing within subject effects.

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See the attached solution.

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 (example given in the lecture for the effects of room temperature on memory).
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
The above table provides the descriptive statistics of dependent variables.
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. ...

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