Covariance Structure Modeling
Introduction to covariance structure models, linear structural equations, and factor analysis; identification and parameter estimation problems; assessing goodness-of-fit; use of up-to-date computer software implementing current estimation methods; applications to a wide variety of social and behavioral science modeling problems.
Tentative Course Schedule | ||||
M | W | F | ||
Date | Reading/Notes | Date | Reading/Notes | HW |
01/19 | 01/21 | Path Analysis: B2
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01/26 | 01/28 | Review of OLS, Matrix algebra; B Appendix A + B, Intro to R | 1 | |
02/02 | SEM with observed variables: Implied Model and Identification, B4
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02/04 | 2 | |
02/09 | Observed SEM: Estimation Matrix Calculus
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02/11 | 3 | |
02/16 | Consequences of Measurement Error, B5 | 02/18 | CFA: Implied Model, Identification; B7 | 4 |
02/23 | CFA Identification: | 02/25 | CFA: Estimation; B7 | 5 |
03/02 | CFA: Model Fit; B7 | 03/04 | CFA: Second-Order Factor Models; B7 | 6 |
03/09 | Categorical/Ordinal Data, B 433-447 | 03/11 | Categorical/Ordinal Data, B 409-415
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7 |
03/16 | CFA: Estimation – Instrumental Variables: B 409-415 | 03/18 | Bayesian Item Response Theory
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8 |
03/23 | Spring Break | 03/27 | Spring Break | |
03/30 | Measurement Invariance/ Comparing Groups, B 355-369 | 04/01 | Paired Comparisons, ranked data | 9 |
04/06 | SEM with latent variables I, B8·
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04/08 | SEM with latent variables II, B9· | |
04/13 | Latent Interactions, Quadratics | 04/15 | AERA/NCME | |
04/20 | Latent Growth Curve Modeling: | 04/22 | TBA | 10 |
04/27 | Presentations | 04/29 | Presentations | |
05/04 | Presentations | 05/06 | Exam |