Lab 16: Doing your Analysis

Mini-Dissertation Progress Tracker

Setting Yourself Up for Success

Making Every Word Count

Three Types of ANOVA

ANOVA Assumptions

Statistical Assumptions

• No significant outliers
  • Use boxplots to identify extreme values
  • Assess impact on results
  • Writing Guide pp. 77-79
• Normality of distribution
  • Shapiro-Wilk test (p > .05 indicates normality)
  • Q-Q plots
  • Writing Guide pp. 80-81

More Statistical Assumptions

• Homogeneity of variance (for between-subjects factors)
  • Levene’s test (p > .05 indicates equal variances)
  • Writing Guide p. 81-83
• Sphericity (for repeated measures designs)
  • Mauchly’s test (p > .05 indicates sphericity)
  • If violated, use correction (Greenhouse-Geisser or Huynh-Feldt)
  • Writing Guide p. 83-84

APA Style Results Reporting

A [repeated-measures/factorial/mixed] ANOVA was conducted to examine the effect of [IV1] and [IV2] on [DV]. 
[Assumption tests were conducted with no serious violations noted + details].

There was a [significant/non-significant] main effect of [IV1], F([df1], [df2]) = [F-value], 
p = [p-value], partial η² = [effect size]. 

There was a [significant/non-significant] main effect of [IV2], F([df1], [df2]) = [F-value], 
p = [p-value], partial η² = [effect size].

There was a [significant/non-significant] interaction between [IV1] and [IV2], 
F([df1], [df2]) = [F-value], p = [p-value], partial η² = [effect size].

Common Mistake 1: Forgetting Assumptions Tests

• Don’t forget to report the Assumptions tests

Solution:

• Report them in your results

Common Mistake 2: Misinterpreting Interaction Effects

• Focusing only on main effects when interactions are significant
• Missing the most important part of your findings

Solution:

• Use post-hocs to understand the pattern and report EMMs

Mini-dissertation tip:

• Use interaction plots to visualize and aid interpretation

Common Mistake 3: Poor Visualization

• Figures don’t clearly show patterns and results
• Raw SPSS output used instead of APA-formatted figures

Solution:

• Create clear, APA-style visualizations
• Focus on communicating key findings visually

Mini-dissertation tip:

• Start creating draft figures immediately after analysis
• Use the Writing Guide examples as templates (pp. 117-121)

Common Mistake 4: Time Management

• Leaving work to the last minute
• Underestimating supplementary materials workload

Solution:

• Create a detailed week-by-week plan
• Set personal deadlines ahead of final submission

Mini-dissertation tip:

• Remember that the 2,500 word limit is tight for concise writing
• Allow substantial time for supplementary materials

Common Mistake 5: Statistical Reporting Errors

• Missing degrees of freedom
• Inconsistent decimal places and italics
• Omitting effect sizes

Solution:

• Follow APA style guidelines strictly
• Use the templates provided in the Writing Guide

Mini-dissertation tip:

• Double-check all F-statements, t-tests, and p-values
• Review the statistical reporting templates (p. 98)

Common Mistake 6: Incomplete Submissions

• Missing required components
• Poorly documented Open Data/Materials

Solution:

• Create a comprehensive submission checklist

• Review all requirements before submitting

• Verify all four components are complete (APA report, Open Data, Open Materials, Reflective Account)

Next Steps

📋 To-Do Before Next Lab:

• Complete ANOVA analyses for your mini-dissertation
• Create draft figures of your results
• Prepare summary of your findings
• Bring questions about interpretation to Lab 17