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Lessons
- 1. 08/23/2017 Introduction
- 2. 08/28/2017 Intro Git, Github, Exploring Data
- 3. 08/30/2017 Data Cleaning and Assessment - Part I
- 4. 09/06/2017 Data Cleaning and Assessment - Part II
- 5. 09/11/2017 Data Wrangling
- 6. 09/13/2017 Data Wrangling - Part 2
- 7. 09/18/2017 Univariate Descriptive Stats
- 8. 09/20/2017 Bivariate Statistics
- 9. 09/25/2017 Introduction to Bootstrapping
- 10. 09/27/2017 Missing Data
- 11. 10/02/2017 Building Models
- 12. 10/04/2017 Simple Regression & ANOVA
- 13. 10/11/2017 Multivariate Regression & Variable Selection
- 14,15. 10/16&18/2017 Interactions, Moderators, Covariates, Factors
- 16. 10/23/2017 Power, Sample Size, Effect Size
- 17. 10/25/2017 Analysis of Covariance (ANCOVA)
- 18,19. 10/30 & 11/1/2017 Logistic Regression and Generalized Linear Regression
- 20. 11/06/2017 Poisson and Negative Binomial Regression
- 21. 11/08/2017 Dependent/Paired data and Repeated Measures
- 22. 11/13/2017 Repeated Measures ANOVA
- 23. 11/15/2017 RM-ANOVA and Multilevel (Mixed) Linear Models (MLM)
- 24. 11/20/2017 Reliability and Factor Analysis
- 25. 11/27/2017 Discriminant Analysis/MANOVA
- 26. 11/29/2017 Mediators and SEM (structural equation modeling)
- Assignments
- Files
- Instructor
- Syllabus
- Useful Stuff
N736 Fall 2017 - Lesson 26. 11/29/2017 Mediators and SEM (structural equation modeling)
Github Repository for Lesson 26. 11/29/2017 Mediators and SEM (structural equation modeling)
See https://github.com/melindahiggins2000/N736Fall2017_lesson26
Copyright © Melinda Higgins, Ph.D.. All contents under (CC) BY-NC-SA license,
unless otherwise noted.