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

Name: RAPP 5015 Database Management: SPSS Assignment - Part 2 For part 2 of the assignment, you will follow through with the
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Statistics Aug 02, 2021

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.

Instructions

Review your questions and plan from part 1, making sure they meet the criteria described there, and making any corrections/adjustments necessary.
Prepare the data in SPSS and conduct your analyses.
- Include at least one data visualization created in SPSS for each hypothesis/question.
- Include both descriptive methods (e.g. custom tables or descriptive table options in the tests) and hypothesis testing (parametric or nonparametric) in your analyses.
- Keep in mind: If you don’t get a significant result, that’s perfectly okay as long as the hypothesis is logical and potentially interesting. An answer of no is still an answer for an interesting question!
Create one clean and complete output file (.spv) with all of your results.
Create a short, point form summary of your method and your results in PowerPoint:
- State each hypothesis / research question.
- Outline what statistical method you used in SPSS and why.
- Summarize the result. Include your data visualization, which should be edited to be ‘report-ready’ - polished, nicely labelled, nice colours, etc.
- Include a brief discussion on potential implications or insights the result could provide (this can include null results). This doesn't have to be practical implications, it could just be that it's interesting or unexpected or makes you wonder about something, etc.
- Do not include hypothesis test result tables from SPSS, just report the result in text in APA style (test statistic, p-value) along with the data visualizations, and you can include descriptive statistics tables if the chart alone doesn’t give the complete picture.
- See Example on page 4 for a rough idea of what I’m looking for.

What to Submit

Your PowerPoint (.pptx) summary.
Your output file (.spv) containing all of your results (do not export).
Your SPSS file (.sav)

Rubric


Dependent Variable	Independent Variable	Comparison	Applicable Test(s)
Nominal (Binary)	Categorical – 2 groups	Between Subjects	Chi-Square test for independence / Binary logistic regression
	Categorical – 2 groups	Within-Subjects	McNemar test
	Categorical – 3+ more groups	Between Subjects	Chi-Square test for independence / Binary logistic regression
	Categorical – 3+ more groups	Within-Subjects	Cochran’s Q test
Ordinal	Categorical – 2 groups	Between Subjects	Mann-Whitney U test
	Categorical – 2 groups	Within-Subjects	Wilcoxon Signed-Rank test
	Categorical – 3+ more groups	Between Subjects	Kruskal-Wallis test
	Categorical – 3+ more groups	Within-Subjects	Friedman test
Scale	Categorical – 2 groups	Between Subjects	Independent-samples t test
	Categorical – 2 groups	Within-Subjects	Paired-samples t test
	Categorical – 3+ more groups	Between Subjects	One-way ANOVA
	Categorical – 3+ more groups	Within-Subjects	Repeated measures ANOVA
	Ordinal	Between Subjects	One-way ANOVA / t test
	Ordinal	Within-Subjects	Spearman correlation / Linear regression
	Two categorical variables that might interact	Between Subjects	Two-way ANOVA
	Two categorical variables that might interact	Between Subjects and Within-Subjects	Mixed ANOVA
Nominal (Binary)	Scale	Correlation / Prediction	Phi / Cramer’s V / Binary logistic regression
Ordinal			Spearman rho correlation / Ordinal logistic regression
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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