Earlier this week, you practiced using repeated measures ANOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social research question using Repeated Measures ANOVA. Review the datasets provided. Construct a research question based on one of those datasets. Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable?
Use SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2–3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix.
What is the null hypothesis for your question? What research design(s) would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? If you found significance, what is the strength of the effect? What is the answer to your research question? What are the possible implications of social change? Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1SES
Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!
Step 1: Carefully Review the Assignment Requirements
Before opening SPSS, read the assignment instructions thoroughly. Your goal is to use a Repeated Measures ANOVA to answer a social research question using one of the provided datasets. You will then write a 2–3 page APA-formatted analysis and include your SPSS output in an appendix.
Your paper must address:
- The research question
- The null hypothesis
- The research design
- The dependent variable and how it is measured
- The independent variable and how it is measured
- Statistical results from the Repeated Measures ANOVA
- Effect size (if significant)
- Interpretation of findings
- Implications for social change
- Dataset mean requirement
- References and appendix
Step 2: Select a Dataset
Choose one of the approved datasets:
- Afrobarometer Dataset
- General Social Survey (GSS) Dataset
- HS Longitudinal Survey Dataset
Once selected, calculate and report the required mean:
- Afrobarometer: Mean of Q1 (Age)
- GSS: Mean of Age
- HS Longitudinal Survey: Mean of X1SES
Include this information early in the introduction section of your paper.
Example:
“The General Social Survey dataset was used for this analysis. The mean age of respondents was XX.XX years.”
Step 3: Develop a Research Question
Your research question should examine whether a variable changes across multiple measurements or conditions.
Example Research Questions:
- Does respondents’ level of trust differ across multiple institutions?
- Do attitudes toward social policies vary across different measurement occasions?
- Do participants report different levels of satisfaction across several conditions?
Make sure the dependent variable is measured repeatedly on the same participants.
Step 4: State the Null and Alternative Hypotheses
Create hypotheses that align with your research question.
Example:
Null Hypothesis (H₀):
There is no statistically significant difference between the repeated measurements.
Alternative Hypothesis (H₁):
There is a statistically significant difference between at least one of the repeated measurements.
Step 5: Identify the Variables
Clearly describe both variables.
Dependent Variable
- Identify the outcome being measured repeatedly.
- Explain how it is measured.
- State the level of measurement.
Example:
“The dependent variable was trust in institutions, measured using survey responses on a Likert-type scale ranging from 1 to 5.”
Independent Variable
- The repeated measurement factor (time, condition, or category).
- Explain the measurement structure.
Example:
“The independent variable was institution type, consisting of three repeated conditions measured for each participant.”
Step 6: Check Repeated Measures ANOVA Assumptions
Before interpreting results, verify assumptions.
Review:
- Continuous dependent variable
- Related observations
- No extreme outliers
- Approximate normality
- Sphericity (Mauchly’s Test)
If Mauchly’s Test is significant, report corrected results using:
- Greenhouse-Geisser correction, or
- Huynh-Feldt correction
Be sure to mention which correction was used.
Step 7: Run the Repeated Measures ANOVA in SPSS
Follow these steps:
- Open the dataset.
- Select Analyze.
- Click General Linear Model.
- Select Repeated Measures.
- Name the within-subject factor.
- Specify the number of levels.
- Click Add and Define.
- Move repeated measures variables into the analysis box.
- Under Options, select:
- Descriptive Statistics
- Estimates of Effect Size
- Means
- Run the analysis.
Save all output for the appendix.
Step 8: Write the Introduction
Provide:
- Brief overview of the topic
- Dataset used
- Mean value required by the assignment
- Research question
- Purpose of the study
Example structure:
- Background
- Dataset description
- Research question
- Hypotheses
Step 9: Report the Results in APA Format
Present findings objectively.
Include:
- Descriptive statistics
- Mauchly’s Test results
- ANOVA table results
- Degrees of freedom
- F statistic
- p-value
- Partial eta squared effect size
Example:
“A repeated measures ANOVA revealed a statistically significant difference among the measurement conditions, F(2, 198) = 5.67, p = .004, partial η² = .054.”
If assumptions were violated:
“Because the assumption of sphericity was violated, Greenhouse-Geisser corrected results were reported.”
Step 10: Interpret the Findings
Explain what the statistical results mean in plain language.
Example:
“The findings indicate that participant responses differed significantly across the measured conditions. Therefore, the null hypothesis was rejected.”
Answer your research question directly.
Step 11: Discuss Effect Size
If significant results are found, explain the strength of the relationship.
General guidelines:
- .01 = Small effect
- .06 = Medium effect
- .14 = Large effect
Example:
“The effect size was moderate, indicating that the repeated measurement factor explained a meaningful proportion of the variance.”
Step 12: Address Social Change Implications
Discuss how findings may contribute to positive social outcomes.
Examples:
- Improved public policy
- Better educational practices
- Enhanced community interventions
- Increased awareness of social issues
Keep this section connected to your findings.
Step 13: Create the Conclusion
Summarize:
- Research question
- Main findings
- Hypothesis outcome
- Importance of results
Keep the conclusion concise and focused.
Step 14: Add References
Include all sources used in APA format.
Common references may include:
- Course materials
- Statistical textbooks
- SPSS documentation
- Peer-reviewed research articles
Step 15: Create the Appendix
After the reference page, include:
- Descriptive statistics output
- Mauchly’s Test output
- Tests of Within-Subjects Effects output
- Pairwise comparisons (if applicable)
Label appropriately:
Appendix A: SPSS Output
Recommended Resources
- IBM SPSS Statistics Documentation
- APA Style Official Website
- Laerd Statistics Repeated Measures ANOVA Guide
- Purdue OWL APA Formatting Guide
- UCLA Statistical Consulting SPSS Resources
Final Submission Checklist
✓ APA title page included
✓ Research question clearly stated
✓ Required dataset mean reported
✓ Null hypothesis identified
✓ Variables explained
✓ Repeated Measures ANOVA conducted
✓ Effect size reported
✓ Results interpreted
✓ Social change implications discussed
✓ References page included
✓ SPSS output attached as appendix
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