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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

Statistics

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

  1. Review your questions and plan from part 1, making sure they meet the criteria described there, and making any corrections/adjustments necessary.
  2. 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!
  3. Create one clean and complete output file (.spv) with all of your results.
  4. 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

  1. Your PowerPoint (.pptx) summary.
  2. Your output file (.spv) containing all of your results (do not export).
  3. 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

Within-Subjects

McNemar test

Categorical –

3+ more groups

Between Subjects

Chi-Square test for independence /

Binary logistic regression

Within-Subjects

Cochran’s Q test

Ordinal

Categorical –

2 groups

Between Subjects

Mann-Whitney U test

Within-Subjects

Wilcoxon Signed-Rank test

Categorical –

3+ more groups

Between Subjects

Kruskal-Wallis test

Within-Subjects

Friedman test

Scale

Categorical –

2 groups

Between Subjects

Independent-samples t test

Within-Subjects

Paired-samples t test

Categorical –

3+ more groups

Between Subjects

One-way ANOVA

Within-Subjects

Repeated measures ANOVA

Ordinal

Between Subjects

One-way ANOVA / t test

Within-Subjects

Spearman correlation / Linear regression

Two categorical variables that might interact

Between Subjects

Two-way ANOVA

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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