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Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
Methodology, results, discussion general comments
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Methodology, results, discussion general comments

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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’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

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