PubH 7435 Latent Variable Measurement Models and Path Analysis Fall 2008 -
Syllabus
Some links to other Latent Variable Models/SEM websites
Quantitative Methods Course at Texas Tech
David Kenny's Mediation site
Recap of PH7435 before exam
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Intro to course, Intro to the scope of latent variable models (1 week)
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Measurement Models (7 weeks)
- Fundamental ideas of measurement
Notes on Measurement (updated 9-11-07)
Computer Lab for using SAS for Cronbach's alpha and intro to Mplus for EFA (updated 9-18-07)
READINGS: - Chapters 1, 2 and pp. 174-205 of Chapter 6 in Pett et al, Section 3.3 in Kline (pp. 58-61)
- Assessing health status and QOL instruments: Attributes and review criteria Quality of Life Research, 11: 193-205. 2002. which you can get from our electronic journals through the UM library system
- A good article about Cronbach's alpha is: Streiner D (2003) Starting at the Beginning: An Introduction to Coefficient Alpha and Internal Consistency, Journal of Personality Assessment, 80(1), 99-103.
- Measuring continuous latent variables
Notes about Factor analysis including IRT (updated 10-18-07)
Additional notes for eigenvalue-eigenvector decompostion (updated 9-16-08)
Additional notes about negative eigenvalues in software output for EFA (updated 9-30-08)
Additional notes for Goodness of Fit measures (updated 9-23-2008)
Analysis of homework 2 health attitudes regressed on gender in Mplus (updated 9-29-2008)
Computer Lab for EFA in MPLUS and CFA in AMOS (updated 9-18-2008)
Computer Lab for Multiple Group CFA in AMOS (we will NOT do this lab during classtime)
Computer Lab for Factor Analysis of categorical observed variables in Mplus(updated 10-2-08)
Using AMOS for CFA with covariates (updated 10-9-07)
READINGS: - EFA: Chapter 4, 5, 7, and pp. 167-174 in Chapter 6 in Pett et al
- CFA: Chapter 7 and MULTIPLE GROUP CFA: 11.3 in Kline
- GOODNESS OF FIT: pp 133-144 in Kline about Model fit indices
- MULTIPLE GROUP CFA: Hofmann D, Mathieu J, and Jacobs R (1990) A multiple group CFA evaluation of teacher's work-related perceptions and reactions, Educational and Psychological Measurement, 50, 943-955
- BIFACTOR MODEL: Chen FF, West SG, Sousa KH (2006) A Comparison of Bifactor and Second-Order Models of Quality of Life, Multivariate Behavioral Research 41(2), 189-225.
- BIFACTOR MODEL: Reise SP, Morizot J, Hays RD (2007). The role of the bifactor model in resolving dimensionality issues in health outcomes measures, Quality of Life Research, 16 Suppl: 19-31.
- IRT MODELING: Wirth RJ, Edwards MC (2007) Item Factor Analysis: Current Approaches and Future Directions, Psychological Methods, 12(1), 58-79. (technical details about estimation from pp. 63-70 can be skipped)
- IRT MODELING: Hays R, Morales L, Reise S (2000) Item Response theory and health outcomes measurement in the 21st century, Medical Care, 38(9) Supplement 2, pp. II28-II42.
- Latent Growth Model (In its simplest form can be constructed as a special case ``measurement model" of continuous latent variables)
Notes about Latent Growith models(updated November 27, 2007)
Notes from Kline
READINGS:
- Measuring categorical latent variables
Notes about Latent Class analysis (updated 10-23-08)
Computer Lab for using Mplus for LCA (updated 10-23-07)
READINGS for latent class models for LONGITUDINAL data and latent growth curve mixture models
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Path Analysis (7 weeks)
- An introduction to causality
Notes about causality (last updated 2006, no change for 2007)
- Path Analysis
Notes about path analysis (updated 2008),
Mediation example (with bootstrap) and moderation (updated 11-13-08)
Notes about bootstrapping (updated 2006)
READINGS:
- Chapter 4, 5, and 6 in Kline
- Frazier PA, Tix AP, Barron KE (2004). Testing Moderator and Mediator effects in Counseling Psychology Research, Journal of Counseling Psychology, 51(1) 115-134.
- Cole DA, Maxwell, SE (2003). Testing Mediational Models with Longitudinal Data: Questions and Tips in the Use of Structural Equation Modeling, Journal of Abnormal Psychology, 112(4), 558-577.
- MacKinnon DP, Fairchild AJ, Fritz MS (2007) Mediation analysis. Annual Review of Psychology, 58:593-614.
- Friedman L, Wall MM. (2005) "Graphical views of suppression and multicollinearity in mul- tiple linear regression", The American Statistician, vol. 59, no. 2, pp. 127 - 136.
- Structural equation modeling (including some nonlinear SEM).
Notes about SEM(last updated November 27, 2007)
Computer Lab Using AMOS for SEM
Non-recursive SEM feedback loops(last updated Dec 4, 2008)
Non-recursive SEM and instrumental variables(last updated Dec 7, 2008)
READINGS:
- Chapter 8 in Kline
- Wall, M.M. and Li, R. (2003) "A Comparison of Multiple Regression to Two Latent Variable Techniques for Estimation and Prediction", Statistics in Medicine, 22, 3671-3685.
- Weston R and Gore P (2006) A brief guide to structural equation modeling, The Counseling Psychologist, 34(5) 719-751.
- Additional topics
Normality, sample size, and missing data
Extra references for sample size for Factor analysis