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    Statistics: Interpretation of ANOVA results

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    Hi, I am having a hard time with these questions. The questions are as follows,
    1. Using the SPSS Output given below, interpret the data in the table for the within-subjects effect, the between-subjects effect, and the interaction.
    2. Make sure to discuss the findings of the analysis in terms of what they actually mean in the context of the study.

    I have the data in the attached documents.

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    The solution is very helpful to understand the concept of these types of problem. Step by step solution is attached for better understanding and clarity to this problem. If you need any clarification, please feel free to ask. I will be happy to help you. Thanks!

    Within-Subjects Factors
    Anxiety_Level Dependent Variable
    1 RCMAS_Pretreatment
    2 RCMAS_Posttreatment

    Between-Subjects Factors
    Value Label N
    Treatment_Condition 1 CBT 33
    2 PSY 33
    3 SUPP 33

    Descriptive Statistics
    Treatment Condition Mean Std. Deviation N
    RCMAS_Pretreatment CBT 20.3333 3.70529 33
    PSY 19.9091 3.22455 33
    SUPP 20.4242 4.30864 33
    Total 20.2222 3.74045 99
    RCMAS_Posttreatment CBT 7.3939 4.34410 33
    PSY 11.7879 3.79768 33
    SUPP 16.0909 3.97149 33
    Total 11.7576 5.36255 99

    Multivariate Testsb
    Effect Value F Hypothesis df Error df Sig.
    Anxiety_Level Pillai's Trace .809 407.585a 1.000 96.000 .000
    Wilks' Lambda .191 407.585a 1.000 96.000 .000
    Hotelling's Trace 4.246 407.585a 1.000 96.000 .000
    Roy's Largest ...

    Solution Summary

    This solution is comprised of a detailed explanation of Interpretation of Repeated Measure ANOVA. In this solution, step-by-step explanation of this complicated topic provides students with a clear perspective of Interpretation of Repeated Measure ANOVA.