Course: Statistics for Psychosocial Research: Structural Models

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Readings

This reading list corresponds to the Fall 2007 offering of Statistics for Psychosocial Research: Structural Models. It is not necessarily representative of subsequent offerings of the course.

Textbooks

Required:

Loehlin, JC. Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. Fourth edition. Hillsdale, NJ: Laurence Erlbaum Associates, 2004.

Highly recommended:

Maruyama, G. Basics of Structural Equation Modeling, SAGE, 1997.

Bollen, KA. Structural Equations with Latent Variables, New York: Wiley and Sons, 1989.


Topic Readings
Introduction: Structural regression

Reading

Loehlin, Chapter 1 "Path Models in Factor, Path, and Structural Analysis"

Additional Reading

Bollen, Chapter 1, "Introduction" and Chapter 2, "Model Notation, Covariances, and Path Analysis," pp. 10-31

Bollen, Chapter 5 "The consequences of measurement error," pp. 151-168

Regression analysis for items Optional readings

Diggle PJ, Heagerty P, Liang K-Y, Zeger SL. "Generalized Linear Models for Longitudinal Data" in Analysis of Longitudinal Data, 2nd edition, London: Oxford, 2002 (pp 54-70).
Introduction to path analysis

Reading

Loehlin, Chapter 2 "Fitting path models"

Additional Reading

Bollen, Chapter 2 "Model Notation, Covariances, and Path Analysis," pp. 32-39.

Introduction to structural equations with latent variables

Reading

Loehlin, Chapter 3 "Fitting path and structural models to data from a single group on a single occasion," pp. 87-95.

Additional Reading

Bollen, Chapter 7, "Confirmatory factor analysis," pp. 226-238.

Inference using structural equations with latent variables Bollen, Chapter 7, "Confirmatory factor analysis," pp. 238-296.
Examples of path analysis

Reading

Loehlin, Chapter 3, "Fitting path and structural models to data from a single group on a single occasion," pp. 95-115

Additional Reading

Maruyama, Chapter 6, "Recursive and Longitudinal Models: Where Causality Goes in More Than One Direction and Where Data Are Collected Over Time," pg. 99-108

Optional Reading

Sewell WH, Hauser RM, Wolf WC. "Sex, Schooling, and Occupational Status," American Journal of Sociology 1980;86:551-583.

Wheaton B. "The Sociogenesis of Psychological Disorder: Reexamining the Causal Issues with Longitudinal Data," American Sociological Review 1979;43:383-403.

Commonly applied structural models with latent variables

Reading

Loehlin, Chapter 3, "Fitting path and structural models to data from a single group on a single occasion" pp. 98-102.

Loehlin, Chapter 4, "Fitting models involving repeated measures or multiple groups," pp. 129-148.

Additional Reading

Bollen, Chapter 8, "The general model, part I: latent variable and measurement models combined," pp. 355-369.

Advanced structural equations models I

Reading

Loehlin, Chapter 4, "Fitting models involving repeated measures or multiple groups," pp. 120-129.

Additional Reading

Maruyama, Chapter 6, "Recursive and Longitudinal Models: Where Causality Goes in More Than One Direction and Where Data Are Collected Over Time�, pp. 108-122.

Optional readings

Aneshensel CS, Frerichs RR, "Stress, Support, and Depression: A Longitudinal Causal Model," Journal of Community Psychology 1982;10:363-76.

Muthen BO, "Analysis of Longitudinal Data using Latent Variable Models with Varying Parameters," in Best Methods for Analyzing Change

Advanced structural equations models II

Suggested readings

Goldstein H, McDonald RP, "A general model for the analysis multilevel data," Psychometrika 1988;53:455-467

Muthen BO. "Means and covariance structure analysis of hierarchical data," UCLA Statistics series, no 62: Los Angeles, 1990.

Muthen BO. "Multilevel factor analysis of class and student achievement components," Journal of Educational Measurement 1991;28:338-354.

Models for dichotomous outcomes

Reading

Bollen, Chapter 9, "The general model, part II: extensions," pp. 433-447.

Additional readings
Muthen BO, "A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators," Psychometrika 1984;49:115-132.

Muthen BO, "Goodness of fit with categorical and nonnormal variables," in: Bollen KA, Long JS, eds., Testing structural equation models (pp. 205-234). Newbury Park, CA: Sage.

Latent class regression I

Additional readings

Bandeen-Roche K, Huang G-H, Munoz B, Rubin GS, "On Determining Risk Factor Associations with Questionnaire Outcomes: A Methods Case Study," American Journal of Epidemiology, 1999;150:1165-78.

Bandeen-Roche K, Miglioretti DJ, Zeger SL, Rathouz PJ, "Latent Variable Regression for Multiple Discrete Outcomes," Journal of the American Statistical Association 1997;92:1375-1386.

Latent class regression II No reading
Concluding topics

Reading

Loehlin, Chapter 7, "Issues in the application of latent variable," pp. 98-102.

Additional readings

Maruyama, Chapter 1, "What Does It Mean to Model Hypothesized Causal Processes With Nonexperimental Data?"

Bollen, Chapter 3, "Causality and causal models," pp. 40-79.