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Homework answers / question archive / RAPP 5015 Database Management: SPSS Assignment - Part 2 For part 2 of the assignment, you will follow through with the plan created in part 1 (with feedback taken into account and adjustments made) and conduct your analysis in SPSS, and create a brief PowerPoint report of your results
RAPP 5015 Database Management: SPSS Assignment - Part 2
For part 2 of the assignment, you will follow through with the plan created in part 1 (with feedback taken into account and adjustments made) and conduct your analysis in SPSS, and create a brief PowerPoint report of your results.
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Dependent Variable |
Independent Variable |
Comparison |
Applicable Test(s) |
Nominal (Binary) |
Categorical – 2 groups |
Between Subjects |
Chi-Square test for independence / Binary logistic regression |
Within-Subjects |
McNemar test |
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Categorical – 3+ more groups |
Between Subjects |
Chi-Square test for independence / Binary logistic regression |
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Within-Subjects |
Cochran’s Q test |
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Ordinal |
Categorical – 2 groups |
Between Subjects |
Mann-Whitney U test |
Within-Subjects |
Wilcoxon Signed-Rank test |
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Categorical – 3+ more groups |
Between Subjects |
Kruskal-Wallis test |
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Within-Subjects |
Friedman test |
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Scale |
Categorical – 2 groups |
Between Subjects |
Independent-samples t test |
Within-Subjects |
Paired-samples t test |
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Categorical – 3+ more groups |
Between Subjects |
One-way ANOVA |
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Within-Subjects |
Repeated measures ANOVA |
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Ordinal |
Between Subjects |
One-way ANOVA / t test |
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Within-Subjects |
Spearman correlation / Linear regression |
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Two categorical variables that might interact |
Between Subjects |
Two-way ANOVA |
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Between Subjects and Within-Subjects |
Mixed ANOVA |
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Nominal (Binary) |
Scale |
Correlation / Prediction |
Phi / Cramer’s V / Binary logistic regression |
Ordinal |
Spearman rho correlation / Ordinal logistic regression |
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Scale |
Pearson r correlation / Linear regression |
*Note: For this class you can treat Likert Scale type variables as Scale data Example PowerPoint (1 question/hypothesis)
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