SEM Resources
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SEM Resources
SEM Software
Amos is part of SPSS.
Calis is part of SAS.
EQS is published by Multivariate Software.
lavaan is an open source library for R.
LISREL is published by Scientific Software.
MPlus is published by Muthen and Muthen.
Mx is available from Virginia Commonwealth University.
OpenMx is available right here :-)
RAMONA is part of Systat .
sem is an open source library for R.
SEPath is part of Statistica.
SmartPLS is available from SmartPLS.
Books on Structural Equation Modeling
Blunch (2008) Introduction to Structural Equation Modelling Using SPSS and AMOS. Sage Publications
Bollen (1989) Structural Equations with Latent Variables. Wiley-Interscience
Bollen (2005) Latent Curve Models: A Structural Equation Perspective. Wiley-Interscience
Brown (2006) Confirmatory Factor Analysis for Applied Research. Guilford Press
Byrne (2009) Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, 2nd Edition. Taylor and Francis
Duncan, Duncan, & Strycker (2006) An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications. Lawrence Erlbaum Associates
DuToit, Cudeck, & Sorbom (2000) Structural Equation Modeling: Present and Future. Scientific Software International.
Gelman & Hill (2006) Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press
Hancock & Mueller (2006) Structural Equation Modeling: A Second Course. Information Age Publishing
Kline (2004) Principles and Practice of Structural Equation Modeling, 2nd Edition. Guilford Press
Marcoulides & Schumacker (1996) Advanced Structural Equation Modeling: Issues and Techniques. Lawrence Erlbaum
Maruyama (1998) Basics of Structural Equation Modeling. Sage Publications
Mulaik (2009) Linear Causal Modeling with Structural Equations. Chapman & Hall
Preacher, Wichman, MacCallum, & Briggs (2008) Latent Growth Curve Modeling. Sage Publications
Raykov & Marcolides (2006) A First Course in Structural Equation Modeling, 2nd Edition. Lawrence Erlbaum Associates.
Schumacker & Lomax (2004) A Beginner's Guide to Structural Equation Modeling, 2nd Edition. Lawrence Erlbaum Associates.
Skrondal & Rabe-Hesketh (2004) Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Chapman & Hall
A Few Books on Learning R
Dalgaard (2008) Introductory Statistics with R, 2nd Edition. Springer
Everitt & Hothorn (2006) A Handbook of Statistical Analyses Using R. Chapman & Hall
Maindonald & Braun (2006) Data Analysis and Graphics Using R: An Example-based Approach, 2nd Edition. Cambridge University Press
Venables & Smith (2009) An Introduction to R, 2nd Edition. Network Theory Ltd
Other Resources