1. Methodology, Results, Discussion
General Comments
AIDEN YEH
Wenzao Ursuline University of Languages

2. Methodology: Missing Research
Questions

3. Misplaced Research Questions
X Placed under Instrumentation
section

4. Participants: Giving a run-down of
results

5. Instrumentation

6. Measurements

7. Reporting Results

8. Oh, Statistics!

9. What’s the Cronbach again for?

10. Correlations and Chi-Square
Chi-square with p<0.05 indicates a significant relationship between
variables

11. p<0.05 indicates a significant
relationship

12. No relationship when p>0.05

13. Deleting an item in a category

14. Reporting ANOVA
• Example: A factorial ANOVA found a significant difference in
income based on both race and gender, F(5, 27157) =
573.72, p < .001. Specifically, males were found to have
significantly higher incomes than females, F(1, 27157) =
383.95, p < .001. Also, income was found to vary
significantly based on race, F(2, 27157) = 117.93, p < .001.
Finally, a significant interaction between race and gender
was found, F(2, 27157) = 55.09, p < .001.
•
• in other words, you need to identify which one is the
independent variable and what are the two dependent
variables

15. Support general claims

16. The Value of inferential statistics
• You have a lot of interesting variables where
you can do a crosstab analysis. Failure to do so
limits the data to descriptive analysis and you
won’t be able to justify any relationships
whatsoever.

17. Tables or Figures

18. Discussion: Rephrase, don’t simply
repeat sentences

19. Over-generalization of results

20. Word Choice: Avoid Sensationalism

21. Discussion: Too short

22. Discussion: Say more

23. Discussion: Explain

24. Synthesize interpretations

25. Revisions, again!
Image source: http://blog.patrickrothfuss.com/wp-content/uploads/2010/05/csg_writing-
the-revision-process-tone.jpg