Maximum and Robust Maximum Likelihood Estimation; Missing Data with (R)ML

Structural Equation Modeling (PRE 906; Spring 2015): Week 3 Materials


Readings to be Completed before this Lecture:
Required:
Chapter 3: Enders, C. K. (2010).Applied missing data analysis. New York, NY: Guilford.


Optional:
Chapter 5: Enders, C. K. (2010).Applied missing data analysis. New York, NY: Guilford.

In-Class Lecture Materials:
In-Class Lecture Videos:
  1. Lecture 3 Video, Part A
  2. Lecture 3 Video, Part B
  3. Lecture 3 Video, Part C
Assignments
Readings for Next Week
Required:
Chapter 5: Kline, R. B. (2002). Principles and practice of structural equation modeling (2nd Ed.). New York, NY: Guilford.


Optional:
Chapter 5: Kaplan, D. (2009). Structural equation modeling: foundations and extensions (2nd Ed.). Thousand Oaks, CA: Sage.

Pajares, F., & Miller, M. D. (1994). Role of self-efficacy ad self-concept beliefs in mathematical problem solving: A path analysis.Journal of Educational Psychology, 86, 193-203.