Questions
1 (4.5 marks) Choose suitable variable/s to run Mann-Whitney u test. Provide output and a report on your data analysis.
2 (6 marks) Choose suitable variable/s to run Wilcoxon Signed Rank test. Provide output and a report on your data analysis.
3 (4.5 marks) Choose suitable variable/s to run One-Way ANOVA. Provide output and a report on your data analysis including findings of post-hoc analysis if required.
4 (3.5 marks) Choose suitable variable/s to run Pearson’s Chi squared test. Provide output and a report on your data analysis.
5 (6.5 marks) Choose suitable variable/s to run Independent Samples t test. Provide output and a report on your data analysis.
6 (6.5 marks) Choose suitable variable/s to run Paired Samples t test. Provide output and a report on your data analysis.
7 (6 marks) Choose suitable variable/s to run Pearson’s Correlation analysis. Provide output and a report on your data analysis.
8 (5.5 marks) Choose suitable variable/s to run Kruskal-Wallis ANOVA. Provide output and a report on your data analysis.
9 (5.5 marks) Choose suitable variable/s to run Spearman’s Rho analysis. Provide output and a report on your data analysis.
10 (1.5 marks) ‘Insight’ is a student feedback survey that is open towards the end of semester and allows students to provide feedback about their learning experience. Response rate/number of students who take part in this survey has been on decline and is currently around 15%. Each respondent was asked what they think could be one drawback or consequence due to this very low response rate. Five most insightful responses (pun intended) are coded as A, B, C, D & E (Variable: Problems due to Low Response). Replace each code/letter with a LABEL and then provide a suitable graph. No mark if you provide a suitable graph but no labels (meaning no mark if your graph is showing A, B, C, D & E. instead of showing five problems due to low response rate. No need to describe this graph.
Assessment Summary: Data Analysis and Research Design Evaluation
Assessment Overview
This assessment focused on applying quantitative research design and statistical analysis using SPSS software. Students were required to select a random sample of 333 cases from a provided dataset and conduct a series of statistical tests, each addressing specific types of research questions. The task aimed to evaluate students’ ability to perform correct statistical analyses, interpret SPSS outputs, and report findings professionally in a structured research format.
Key Assessment Requirements
- Data Sampling
- Obtain a random sample of 333 cases from the provided data file (not use the full dataset).
- Follow the guide and video tutorial to extract data correctly.
- Using the entire data file would result in zero marks.
- SPSS Analysis and Reporting
- Each question required a different statistical test to be conducted in SPSS.
- Students had to paste SPSS output directly under each question, followed by a written report.
- Reports needed to include:
- Variables used
- Purpose of the test
- Descriptive and inferential statistics
- Hypothesis testing outcome (reject or retain H₀)
- Significance level and conclusion
- Submission Rules
- Use the provided template document only.
- Submit one Word or PDF file, no ZIP or additional attachments.
- Do not combine all SPSS outputs at the end; each must appear under its respective question.
- No checking of test assumptions was required.
- Statistical Tests to be Covered
- Q1: Mann-Whitney U test
- Q2: Wilcoxon Signed Rank test
- Q3: One-Way ANOVA (+ post-hoc if required)
- Q4: Pearson’s Chi-square test
- Q5: Independent Samples t-test
- Q6: Paired Samples t-test
- Q7: Pearson’s Correlation
- Q8: Kruskal-Wallis ANOVA
- Q9: Spearman’s Rho correlation
- Q10: Graphical representation of labeled survey data (no written explanation required)
- Restrictions and Academic Integrity
- No AI tools were allowed.
- Only SPSS procedures demonstrated in lab sessions could be used.
- Assumptions testing was explicitly excluded from the scope.