Dr. Kimberly Neuendorf’s Research Methods & Statistics Materials
Sample Multivariate Analyses Syllabus
INTRO:
1. Selecting Appropriate Statistics (from Neuendorf’s Content Analysis Guidebook (2017, 2nd ed.))
2. Levels of Measurement (PPT)
3. The Variate (PPT)
4. Intro to SPSS (PPT)
5. Degrees of Freedom (PPT)
REVIEW:
8. Probability
9. Combinations and Permutations
10. Power, Type I and Type II Error
12. Standard Error and Confidence Intervals
13. The Chi-Square
14. The t-test
14a. Why ANOVA?
16. Covariance/Correlation (partly from Blalock)
AFTER REVIEW:
20. Cronbach’s alpha (from Carmines & Zeller)
21. Internal Consistency Reliability (Can Cronbach’s Alpha be Too High?)
22. Two-factor ANOVA (from Williams)
23. Eta squared (from Tabachnick & Fidell)
24. Four Moments (PPT)
26. Homoscedasticity/Heteroscedasticity (PPT)
28. Mediating vs. Moderating Variables
29. Controlling for a Third Variable (i.e., Checking for Mediation)
30. Factor Analysis
31. Multiple Regression: Beginnings
33. Multiple Regression Tabling–Examples
34. Condition Index (Checking Multicollinearity) (from Hair et al., 5th ed.)
35. Adjusted R-squared (from Cohen & Cohen)
36. Dummy and Effect(s) Coding
37. Power for Partial Coefficients (from Cohen & Cohen)
40. MANOVA/MANCOVA
40a. The ANOVA Family
43. Cluster Analysis
45. Structural Equation Modeling
46. Optional reading: Diamond, J. (1987, August). Soft sciences are often harder than hard sciences. Discover, pp. 34-35, 38-39.
47. Optional reading: “Matrix Algebra” (from Pedhazur)
48. Optional reading: Data Transformation and Selection–RECODE and COMPUTE syntax for SPSS
49. Optional reading: SPSS Data Transformation Syntax–Some Examples
50. Optional reading: Pencil, M. (1976). Salt passage research: The state of the art. Journal of Communication, 26(4), 31-36.
51. Optional reading: Fink, E. L. (2009). The FAQs on data transformation. Communication Monographs, 76, 379-397.52. Optional reading: Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
2019 In-Class Presentations
1. Dr. N presents “Factor Analysis”
Factor Analysis Table Example (editable version available for download)
2. Tyler presents “Multiple Regression”
Multiple Regression Table Example (editable version available for download)
3. Helen presents “Discriminant Analysis”
Discriminant Analysis Table Example (editable version available for download)
4. Itza presents “Logistic Regression”
Logistic Regression Table Example (editable version available for download)
5. Dr. N presents “Two-factor ANOVA”
Two-factor ANOVA Table Example (editable version available for download)
MANOVA Table Example (editable version available for download)
6. Matt presents “Cluster Analysis”
Cluster Analysis Table Example (editable version available for download)
2018 In-Class Presentations
1. Dr. N presents “Factor Analysis” (3/5/18)
Factor Analysis Table Example (editable version available for download)
2. Samantha and Dennessa present “Multiple Regression” (3/26/18)
Multiple Regression Table Example (editable version available for download)
3. Marcy and Jennifer present “Discriminant Analysis” (4/2/18)
Discriminant Analysis Table Example (editable version available for download)
4. Matt and Ambrosia present “Logistic Regression” (4/9/18)
Logistic Regression Table Example (editable version available for download)
5. Dr. N presents “Two-factor ANOVA” (4/9/18)
Two-factor ANOVA Table Example (editable version available for download)
6. Krista and Sonoyta present “MANOVA/MANCOVA” (4/16/18)
MANOVA Table Example (editable version available for download)
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. N presents “Two-factor ANOVA/ANCOVA”
8. Shantale and Marisha present “MANOVA”
2016 In-Class Presentations
1. Dr. N presents “Factor Analysis”
2. Dr. N presents “Multiple Regression-Hierarchical”
3. Rikki presents “Multiple Regression-Stepwise”
4. Devin presents “Discriminant Analysis”
5. Violet presents “Logistic Regression”
6. Dr. N presents “Two-factor ANOVA/ANCOVA”
2014 In-Class Presentations
1. Dr. N presents “Factor Analysis”
2. Arthur and Bo present “Multiple Regression-Hierarchical”
3. Arthur and Bo present “Multiple Regression-Stepwise”
4. Kyle and Marlin present “Discriminant Analysis”
5. Tim and Cat present “Logistic Regression”
6. Dr. N presents “2-Factor ANOVA”
7. Paul and Kaila present “MANOVA/MANCOVA”
8. Christopher presents “Canonical Correlation”
9. Amelia and Cat present “Cluster Analysis”
10. Dr. N presents “Multidimensional Scaling (MDS)”
11. Changhyun and Mark present “Structural Equation Modeling (SEM)”
2013 In-Class Presentations
1. Dr. N presents “Factor Analysis”
2. Joe presents “Multiple Regression-Stepwise”
3. Hocheol presents “Multiple Regression-Hierarchical”
4. Chichang & Kelly present “Discriminant Analysis”
5. Serineh & Pat present “Logistic Regression”
6. Dr. N presents “2-Factor ANOVA”
9. Jonathan presents “Canonical Correlation”
10. Fran & Jennie present “Cluster Analysis”
11. Jarrett & Jordan present “Multidimensional Scaling (MDS)”
12. Dr. N and class present “Structural Equation Modeling (SEM)”
2011 In-Class Presentations
1. Jeff presents “Factor Analysis”
2. Dorigen presents “Multiple Regression”
3. Elizabeth and Kelly present “Discriminant Analysis”
4. Rachel & Matt E. present “Logistic Regression”
5. Ben & James present “MANOVA/MANCOVA”
6. Joan presents “Canonical Correlation”
7. Sean & Matt M. present “Cluster Analysis”
8. Mike & Dr. Skalski present “Multidimensional Scaling (MDS)”
9. Aaron & Dr. Neuendorf present “Structural Equation Modeling (SEM)”
10. Rod Antilla’s (ABR Research) PowerPoint Presentation on “Conjoint Analysis)