BSEM Theory
 Asparouhov, T., Muthén, B. & Morin, A. J. S. (2015). Bayesian structural equation modeling with crossloadings and residual covariances: Comments on Stromeyer et al. Journal of Management, 41, 15611577.
 Muthén, B. & Asparouhov, T. (2013). BSEM measurement invariance analysis. Mplus Web Notes: No. 17. January 11, 2013.
 Muthén, B. & Asparouhov, T. (2012). Bayesian SEM: A more flexible representation of substantive theory. Psychological Methods, 17, 313335.
Download the 2nd version dated April 14, 2011. Download webtables referred to in the paper, and
Mplus inputs, data, and outputs used in this version of paper. Download the 1st version dated September 29, 2010 containing a MIMIC section
and more tables, and the corresponding Mplus inputs, data, and outputs. The seven web tables correspond to tables 8, 10, 17, 18, 19, 20, and 21 of the first version.
BSEM Applications
 De Bondt, N, & Van Petegem, P. (2015). Psychometric evaluation of the overexcitability questionnairetwo applying Bayesian structural equation modeling (BSEM) and multipleGroup BSEMbased alignment with approximate measurement invariance. Frontiers in Psychology 6:1963. DOI: 10.3389/fpsyg.2015.01963
 Zercher F, Schmidt P, Cieciuch J and Davidov E (2015) The comparability of the universalism value over time and across countries in the European Social Survey: exact vs. approximate measurement invariance. Frontiers in Psychology. 6:733. DOI: 10.3389/fpsyg.2015.00733
 Fong, T. C. T., & Ho, R. T. H. (2013). Factor analysis of the hospital depression and anxiety scale: A Bayesian structural equation modeling approach. Quality of Life Research, 10.1007/s1113601304292
 van de Schoot, R., Tummers, L., Lugtig, P., Kluytmans, A., Hox, J. & Muthén, B. (2013). Choosing between Scylla and Charybdis? A comparison of scalar, partial and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, 115. doi: 10.3389/fpsyg.2013.00770.
 Zyphur, M & Oswald, F. Bayesian Estimation and Inference: A User's Guide. (2013, August 11) Journal of Management DOI: 10.1177/0149206313501200
 Golay, P., Reverte, I., Rossier, J., Favez, N., & Lecerf, T. (2012, November 12). Further insights on the French WISC–IV factor structure through Bayesian structural equation modeling. Psychological Assessment. Advance online publication. DOI: 10.1037/a0030676
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