Step 1 Write Section 1 of the DAA The Data Analysis Plan Name the variables used in this analysis and whether they are categorical or continuous State a research question, null hypothesis, and alternate hypothesis for the analysis of variance (ANOVA) Step 2 Write Section 2 of the DAA Testing Assumptions Test for one of the assumptions of ANOVA homogeneity Create statistical software output showing the Levene's Test for Equality of Variances Paste the table in the DAA template Interpret the homogeneity test to determine whether the assumption of homogeneity is violated or is not violated Step 3 Write Section 3 of the DAA Results and Interpretation If the homogeneity assumption is not violated (Section 2), run the Homogeneity corrections None version of the ANOVA Follow up with the Standard version of the Tukey post hoc test However, if the homogeneity assumption is violated (Section 2), run the Homogeneity corrections Welch version of the ANOVA Follow up with the Games Howell version of the Tukey post hoc test Paste the following statistical software tables into the document Descriptives table ANOVA table If necessary, the Post Hoc Tests table (Tukey correction) Below the output Report the means and standard deviations of quiz3 for each group of the section variable Report the results of the F test and interpret the statistical results against the null hypothesis state whether the null hypothesis is rejected or not rejected Finally, if the F test is significant, interpret the post hoc tests Step 4 Write Section 4 of the DAA Statistical Conclusions Provide a brief summary of your analysis and the conclusions drawn about this ANOVA Analyze the limitations of the statistical test and or possible alternative explanations for your results Step 5 Write Section 5 of the DAA Application Analyze how you might use the ANOVA in your field of study Name an independent variable (the IV should have three or more groups or categories) and dependent variable that would work for such an analysis and why studying it may be important to the field or practice ANOVA quiz3 Homogeneity Correction Cases Sum of Squares df Mean Square F p Welch section 47 042 2 000 23 521 9 307

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Step 1: Write Section 1 of the DAA: The Data Analysis Plan

Name the variables used in this analysis and whether they are categorical or continuous.
State a research question, null hypothesis, and alternate hypothesis for the analysis of variance (ANOVA).

Step 2: Write Section 2 of the DAA: Testing Assumptions

Test for one of the assumptions of ANOVA - homogeneity.

Create statistical software output showing the Levene's Test for Equality of Variances.
Paste the table in the DAA template.
Interpret the homogeneity test to determine whether the assumption of homogeneity is violated or is not violated.

Step 3: Write Section 3 of the DAA: Results and Interpretation

If the homogeneity assumption is not violated (Section 2), run the "Homogeneity corrections: None" version of the ANOVA. Follow up with the "Standard" version of the Tukey post hoc test.
However, if the homogeneity assumption is violated (Section 2), run the "Homogeneity corrections: Welch" version of the ANOVA. Follow up with the "Games-Howell" version of the Tukey post hoc test.

Paste the following statistical software tables into the document:

Below the output:

Report the means and standard deviations of quiz3 for each group of the section variable.
Report the results of the F test and interpret the statistical results against the null hypothesis; state whether the null hypothesis is rejected or not rejected.
Finally, if the F test is significant, interpret the post-hoc tests.

Step 4: Write Section 4 of the DAA: Statistical Conclusions

Provide a brief summary of your analysis and the conclusions drawn about this ANOVA.
Analyze the limitations of the statistical test and/or possible alternative explanations for your results.

Step 5: Write Section 5 of the DAA: Application

Analyze how you might use the ANOVA in your field of study.

Name an independent variable (the IV should have three or more groups or categories) and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.