TEXTS: These books are recommended for the course:

• Pett MA, Lackey NR, Sullivan JJ (2003) Making sense of factor analysis: The use of factor analysis for instrum\ ent development in health care research, Sage.
• Kline, R.B. (2005). Principles and Practice of Structural Equation Modeling, Second edition, Guilford.
• For the biostatistics and statistics graduate students taking the course... Skrondal A, Rabe-Hesketh S (2004) Generalized latent variable modeling: Multilevel, longitudinal, and structural equation models, Chapman and Hall.

Other texts that may be useful:

LATENT VARIABLE MODELING BOOKS

• Bartholomew D, Steele F, Moustaki I, and Galbraith J. (2002) The analy\ sis and interpretation of multivariate data for social scientist, Chapman a\ nd Hall. Used as a text for this class in previous years
• Bartholomew, D.J., and Knott, M. (1999). Latent Variable Models and Factor Analysis, 2nd. ed., Kendall's Library of Statistics Used as a text for this class in previous years
• Bollen, Kenneth A. (1989). Structural equations with latent variables, New York: Wiley.
• Dayton, C. (1998), Latent class scaling analysis (Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-126). Thousand Oaks, CA: Sage.
• Hoyle, R. ed. (1995). Structural equation modeling: Concepts, issues, and applications. Sage
• Heinen, Ton (1996). Latent Class and Discrete Latent Trait Models: Similarities and Differences, Advanced Quantitative Techniques in the Social Sciences Series 6, SAGE. Used as a text for this class in previous years
• Kaplan, David (2000). Structural equation modeling: Foundations and Extensions, Advanced quantitative techniques in the social sciences series 10. Sage.
• Langeheine, R. and Rost, J. eds. (1988). Latent trait and latent class models. Plenum Press, NY.
• Lazarsfeld, Paul, and Henry, Neil, (1968). Latent structure analysis, Houghton Mifflin.
• Maruyama, G.M (1997). Basics of Structural Equation Modeling, SAGE. Used as a text for this class in previous years
• McCutcheon, Allan (1987). Latent class analysis (Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-064). Newbury Park, CA: Sage.
• Tacq, Jacques (1997). Multivariate analysis techniques in social science research, Sage
• Yates, Allen (1987). Multivariate exploratory data analysis: A perspective on exploratory factor analysis. SUNY Press.

CAUSALITY BOOKS

• Aickin, M (2002). Causal analysis in biomedicine and epidemiology: Based on minimal sufficient causation, Marcel Dekker.
• Pearl, J. (2000). Causality. Cambridge University Press.

MEASUREMENT BOOKS

• Waltz CF, Strickland OL, Lenz ER (2005) Measurement in Nursing and Health Research. 3rd Ed. Springer.
• Bowling, A (1997). Measuring health: A review of quality of life measurement scales. Open University Press.
• McIver J. and Carmines, E. (1981). Unidimensional scaling (Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-024). Newbury Park, CA: Sage.
• Stewart, A. and Ware, J. eds. (1992). Measuring Functioning and Well-Being- The medical outcomes study approach. Duke University Press.
• Streiner, D. and Norman, G. (1989, 1995, 2003). Health Measurement Scales: A Practical Guide to their development and use. Oxford medical publications.

MULTIVARIATE STATISTICS BOOKs with good explanations of latent variable models.

• Hair, Anderson, Tatham, Black (1995) Multivariate Data Analysis with Readings fourth edition Prentice Hall. Lots of economics examples.

SOFTWARE MANUALS

• Byrne, B. (2001). Structural Equation Modeling with AMOS, Lawrence Erlbaum Assoc.
• Kelloway, E. Kevin. (1998). Using LISREL for Structural Equation Modeling, London: Sage.
• Hatcher (1994). A step-by-step approach to using the SAS System for factor analysis and structural equation modeling. SAS Institute