{"id":1248,"date":"2025-01-24T00:08:24","date_gmt":"2025-01-24T00:08:24","guid":{"rendered":"https:\/\/academic.csuohio.edu\/kneuendorf\/?page_id=1248"},"modified":"2025-03-10T20:08:36","modified_gmt":"2025-03-10T20:08:36","slug":"methods","status":"publish","type":"page","link":"https:\/\/academic.csuohio.edu\/kneuendorf\/methods\/","title":{"rendered":"Methods"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Dr. Kimberly Neuendorf’s Research Methods & Statistics Materials<\/h2>\n\n\n\n

Sample Multivariate Analyses Syllabus<\/a><\/p>\n\n\n\n

INTRO:<\/h4>\n\n\n\n
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1. Selecting Appropriate Statistics<\/a> (from Neuendorf’s Content Analysis Guidebook <\/em>(2017, 2nd ed.))<\/p>\n\n\n\n

2. Levels of Measurement<\/a> (PPT)<\/p>\n\n\n\n

3. The Variate<\/a> (PPT)<\/p>\n\n\n\n

4. Intro to SPSS<\/a> (PPT)<\/p>\n\n\n\n

5. Degrees of Freedom<\/a> (PPT)       <\/p>\n<\/blockquote>\n\n\n\n

REVIEW:<\/h4>\n\n\n\n
\n

6. Questionnaire Construction<\/a><\/p>\n\n\n\n

7. Normal Curve Areas<\/a><\/p>\n\n\n\n

8. Probability<\/a><\/p>\n\n\n\n

9. Combinations and Permutations<\/a><\/p>\n\n\n\n

10. Power, Type I and Type II Error<\/a><\/p>\n\n\n\n

11. Standard Deviation<\/a><\/p>\n\n\n\n

12. Standard Error and Confidence Intervals<\/a><\/p>\n\n\n\n

13. The Chi-Square<\/a><\/p>\n\n\n\n

14. The t-test<\/a><\/p>\n\n\n\n

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14a. Why ANOVA?<\/a><\/p>\n<\/blockquote>\n\n\n\n

15. Bivariate Correlation<\/a><\/p>\n\n\n\n

16. Covariance\/Correlation <\/a>(partly from Blalock)<\/p>\n\n\n\n

17. Linear Regression<\/a><\/p>\n<\/blockquote>\n\n\n\n

AFTER REVIEW:<\/h4>\n\n\n\n
\n

18. Scale Construction<\/a><\/p>\n\n\n\n

19. Reliability and Validity<\/a><\/p>\n\n\n\n

20. Cronbach’s alpha<\/a> (from Carmines & Zeller)<\/p>\n\n\n\n

21. Internal Consistency Reliability (Can Cronbach’s Alpha be Too High?)<\/a><\/p>\n\n\n\n

22. Two-factor ANOVA<\/a> (from Williams)<\/p>\n\n\n\n

23. Eta squared<\/a> (from Tabachnick & Fidell)<\/p>\n\n\n\n

24. Four Moments<\/a> (PPT)<\/p>\n\n\n\n

25. Moments about the Mean<\/a><\/p>\n\n\n\n

26. Homoscedasticity\/Heteroscedasticity<\/a> (PPT)<\/p>\n\n\n\n

27. Transforming Data<\/a><\/p>\n\n\n\n

28. Mediating vs. Moderating Variables<\/a><\/p>\n\n\n\n

29. Controlling for a Third Variable (i.e., Checking for Mediation)<\/a><\/p>\n\n\n\n

30. Factor Analysis<\/a><\/p>\n\n\n\n

31. Multiple Regression:  Beginnings<\/a><\/p>\n\n\n\n

32. Multiple Regression<\/a><\/p>\n\n\n\n

33. Multiple Regression Tabling–Examples<\/a><\/p>\n\n\n\n

34. Condition Index (Checking Multicollinearity)<\/a> (from Hair et al., 5th ed.)<\/p>\n\n\n\n

35. Adjusted R-squared<\/a> (from Cohen & Cohen)<\/p>\n\n\n\n

36. Dummy and Effect(s) Coding<\/a><\/p>\n\n\n\n

37. Power for Partial Coefficients<\/a> (from Cohen & Cohen)<\/p>\n\n\n\n

38. Discriminant Analysis<\/a><\/p>\n\n\n\n

39. Logistic Regression<\/a><\/p>\n\n\n\n

40. MANOVA\/MANCOVA<\/a><\/p>\n\n\n\n

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40a. The ANOVA Family<\/a><\/p>\n<\/blockquote>\n\n\n\n

41. Post Hoc Tests (a primer)<\/a><\/p>\n\n\n\n

42. Canonical Correlation<\/a><\/p>\n\n\n\n

43. Cluster Analysis<\/a><\/p>\n\n\n\n

44. Multidimensional Scaling<\/a><\/p>\n\n\n\n

45. Structural Equation Modeling<\/a><\/p>\n\n\n\n

\n

45a. SEM with AMOS–Examples<\/a><\/p>\n<\/blockquote>\n<\/blockquote>\n\n\n\n

46. Optional reading: Diamond, J. (1987, August). Soft sciences are often harder than hard sciences.<\/a> Discover<\/em>, pp. 34-35, 38-39.<\/p>\n\n\n\n

47. Optional reading: “Matrix Algebra<\/a>” (from Pedhazur)<\/p>\n\n\n\n

48. Optional reading: Data Transformation and Selection<\/a>–RECODE and COMPUTE syntax for SPSS<\/p>\n\n\n\n

49. Optional reading: SPSS Data Transformation Syntax–Some Examples<\/a><\/p>\n\n\n\n

50. Optional reading: Pencil, M. (1976). Salt passage research: The state of the art.<\/a> Journal of Communication<\/em>, 26<\/em>(4), 31-36.
 
51. Optional reading: Fink, E. L. (2009). The FAQs on data transformation.<\/a> Communication Monographs<\/em>, 76<\/em>, 379-397.<\/p>\n\n\n\n

52. Optional reading: Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.<\/a> Journal of Personality and Social Psychology<\/em>, 51<\/em>, 1173-1182.<\/em> <\/p>\n<\/blockquote>\n\n\n\n

<\/p>\n\n\n\n

2019 In-Class Presentations<\/h4>\n\n\n\n
\n

1. Dr. N presents “Factor Analysis”<\/a><\/p>\n\n\n\n

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Factor Analysis Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

2. Tyler presents “Multiple Regression”<\/a><\/p>\n\n\n\n

\n

Multiple Regression Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

3. Helen presents “Discriminant Analysis”<\/a><\/p>\n\n\n\n

\n

Discriminant Analysis Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

4. Itza presents “Logistic Regression”<\/a><\/p>\n\n\n\n

\n

Logistic Regression Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

5. Dr. N presents “Two-factor ANOVA”<\/a><\/p>\n\n\n\n

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Two-factor ANOVA Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

6. Danny presents “MANOVA”<\/a><\/p>\n\n\n\n

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MANOVA Table Example (editable version available for download)<\/a><\/p>\n\n\n\n

MANCOVA In-class Example (Dr. N.)<\/a><\/p>\n<\/blockquote>\n\n\n\n

6. Matt presents “Cluster Analysis”<\/a><\/p>\n\n\n\n

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Cluster Analysis Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n<\/blockquote>\n\n\n\n

2018 In-Class Presentations<\/h4>\n\n\n\n
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1. Dr. N presents “Factor Analysis” (3\/5\/18)<\/a><\/p>\n\n\n\n

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Factor Analysis Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

2. Samantha and Dennessa present “Multiple Regression” (3\/26\/18)<\/a><\/p>\n\n\n\n

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Multiple Regression Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

3. Marcy and Jennifer present “Discriminant Analysis” (4\/2\/18)<\/a><\/p>\n\n\n\n

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Discriminant Analysis Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

4. Matt and Ambrosia present “Logistic Regression” (4\/9\/18)<\/a><\/p>\n\n\n\n

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Logistic Regression Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

5. Dr. N presents “Two-factor ANOVA” (4\/9\/18)<\/a><\/p>\n\n\n\n

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Two-factor ANOVA Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n\n\n\n

6. Krista and Sonoyta present “MANOVA\/MANCOVA” (4\/16\/18)<\/a><\/p>\n\n\n\n

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MANOVA Table Example (editable version available for download)<\/a><\/p>\n<\/blockquote>\n<\/blockquote>\n\n\n\n

7. 2017 In-Class Presentations<\/h4>\n\n\n\n
\n

1. Dr. N presents “Factor Analysis”<\/a><\/p>\n\n\n\n

2. Doris presents “Multiple Regression-Hierarchical”<\/a><\/p>\n\n\n\n

3. Olivia presents “Multiple Regression-Stepwise”<\/a><\/p>\n\n\n\n

4. Alissa presents “Discriminant Analysis”<\/a><\/p>\n\n\n\n

5. Ibrahim presents “Logistic Regression (Single Block)”<\/a><\/p>\n\n\n\n

6. Kristi presents “Logistic Regression (Multiple Blocks, with Stepwise)”<\/a><\/p>\n\n\n\n

7. Dr. N presents “Two-factor ANOVA\/ANCOVA”<\/a><\/p>\n\n\n\n

8. Shantale and Marisha present “MANOVA”<\/a><\/p>\n\n\n\n

9. Shantale and Marisha present “MANCOVA”<\/a><\/p>\n\n\n\n

10. Lauren and Maria present “Cluster Analysis”<\/a><\/p>\n<\/blockquote>\n\n\n\n

2016 In-Class Presentations<\/h4>\n\n\n\n
\n

1. Dr. N presents “Factor Analysis”<\/a><\/p>\n\n\n\n

2. Dr. N presents “Multiple Regression-Hierarchical”<\/a><\/p>\n\n\n\n

3. Rikki presents “Multiple Regression-Stepwise”<\/a><\/p>\n\n\n\n

4. Devin presents “Discriminant Analysis”<\/a><\/p>\n\n\n\n

5. Violet presents “Logistic Regression”<\/a><\/p>\n\n\n\n

6. Dr. N presents “Two-factor ANOVA\/ANCOVA”<\/a><\/p>\n\n\n\n

7. Carlina presents “MANOVA\/MANCOVA”<\/a><\/p>\n\n\n\n

8. Dania presents “Cluster Analysis”<\/a><\/p>\n<\/blockquote>\n\n\n\n

2014 In-Class Presentations<\/h4>\n\n\n\n
\n

1. Dr. N presents “Factor Analysis”<\/a><\/p>\n\n\n\n

2. Arthur and Bo present “Multiple Regression-Hierarchical”<\/a><\/p>\n\n\n\n

3. Arthur and Bo present “Multiple Regression-Stepwise”<\/a><\/p>\n\n\n\n

4. Kyle and Marlin present “Discriminant Analysis”<\/a><\/p>\n\n\n\n

5. Tim and Cat present “Logistic Regression”<\/a><\/p>\n\n\n\n

6.\u00a0Dr. N presents “2-Factor ANOVA”<\/a><\/p>\n\n\n\n

7. Paul and Kaila present “MANOVA\/MANCOVA”<\/a><\/p>\n\n\n\n

8. Christopher presents “Canonical Correlation”<\/a><\/p>\n\n\n\n

9.\u00a0Amelia and Cat present “Cluster Analysis”<\/a><\/p>\n\n\n\n

10.\u00a0Changhyun and Mark present “Structural Equation Modeling (SEM)”<\/a><\/p>\n<\/blockquote>\n\n\n\n

2013 In-Class Presentations<\/h4>\n\n\n\n
\n

1. Dr. N presents “Factor Analysis”<\/a><\/p>\n\n\n\n

2. Joe presents “Multiple Regression-Stepwise”<\/a><\/p>\n\n\n\n

3. Hocheol presents “Multiple Regression-Hierarchical”<\/a><\/p>\n\n\n\n

4. Chichang & Kelly present “Discriminant Analysis”<\/a><\/p>\n\n\n\n

5. Serineh & Pat present “Logistic Regression”<\/a><\/p>\n\n\n\n

6. Dr. N presents “2-Factor ANOVA”<\/a><\/p>\n\n\n\n

7. Congrong presents “MANOVA”<\/a><\/p>\n\n\n\n

8. Daniel presents “MANCOVA”<\/a><\/p>\n\n\n\n

9. Jonathan presents “Canonical Correlation”<\/a><\/p>\n\n\n\n

10. Fran & Jennie present “Cluster Analysis”<\/a><\/p>\n\n\n\n

11.\u00a0Jarrett & Jordan present “Multidimensional Scaling (MDS)”<\/a><\/p>\n<\/blockquote>\n\n\n\n

2011 In-Class Presentations<\/h4>\n\n\n\n
\n

1. Jeff presents “Factor Analysis”<\/a><\/p>\n\n\n\n

2.\u00a0Dorigen presents “Multiple Regression”<\/a><\/p>\n\n\n\n

3.\u00a0Rachel & Matt E. present “Logistic Regression”<\/a><\/p>\n\n\n\n

4.\u00a0Ben & James present “MANOVA\/MANCOVA”<\/a><\/p>\n\n\n\n

5.\u00a0Joan presents “Canonical Correlation”<\/a><\/p>\n\n\n\n

6.\u00a0Sean & Matt M. present “Cluster Analysis”<\/a><\/p>\n\n\n\n

7.\u00a0Mike & Dr. Skalski present “Multidimensional Scaling (MDS)”<\/a><\/p>\n\n\n\n

8.\u00a0Rod Antilla’s (ABR Research) PowerPoint Presentation on “Conjoint Analysis”)<\/a><\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

Dr. Kimberly Neuendorf’s Research Methods & Statistics Materials Sample Multivariate Analyses Syllabus INTRO: 2019 In-Class Presentations 2018 In-Class Presentations 7. 2017 In-Class Presentations 1. Dr. N presents “Factor Analysis” 2. Doris presents “Multiple Regression-Hierarchical” 3. Olivia presents “Multiple Regression-Stepwise” 4. Alissa presents “Discriminant Analysis” 5. Ibrahim presents “Logistic Regression (Single Block)” 6. Kristi presents “Logistic Regression (Multiple Blocks, with Stepwise)” 7. Dr.…<\/p>\n","protected":false},"author":38,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"class_list":["post-1248","page","type-page","status-publish","hentry"],"featured_image_src":null,"_links":{"self":[{"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/pages\/1248","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/comments?post=1248"}],"version-history":[{"count":117,"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/pages\/1248\/revisions"}],"predecessor-version":[{"id":1911,"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/pages\/1248\/revisions\/1911"}],"wp:attachment":[{"href":"https:\/\/academic.csuohio.edu\/kneuendorf\/wp-json\/wp\/v2\/media?parent=1248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}