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• 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&#x2019;s the Cronbach again for?
• 10. Correlations and Chi-Square Chi-square with p&lt;0.05 indicates a significant relationship between variables
• 11. p&lt;0.05 indicates a significant relationship
• 12. No relationship when p&gt;0.05
• 13. Deleting an item in a category
• 14. Reporting ANOVA &#x2022; Example: A factorial ANOVA found a significant difference in income based on both race and gender, F(5, 27157) = 573.72, p &lt; .001. Specifically, males were found to have significantly higher incomes than females, F(1, 27157) = 383.95, p &lt; .001. Also, income was found to vary significantly based on race, F(2, 27157) = 117.93, p &lt; .001. Finally, a significant interaction between race and gender was found, F(2, 27157) = 55.09, p &lt; .001. &#x2022; &#x2022; 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 &#x2022; 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&#x2019;t be able to justify any relationships whatsoever.
• 17. Tables or Figures
• 18. Discussion: Rephrase, don&#x2019;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