This course covers material relevant to structural equation modelling (SEM), Bayesian statistics, and Bayesian structural equation modelling (BSEM).
On successful completion of this course, student will:
- Be able to explain the principles of SEM, Bayesian statistics, and BSEM.
- Be able to use, understand, and report the statistical outputs for BSEM produced by SPSS AMOS for Windows.
| Description | Duration |
|---|---|
| Contact time (4 workshops @ 1 hour each) | 4 hours |
| Reading | |
| Running analyses | |
- Data management
- Data analysis and interpretation
Original BSEM papers and comments on them
Asparouhov, T., Muthén, B. O., & Morin, A. J. S. (2015). Bayesian structural equation modeling with cross-loadings and residual covariances: Comments on Stromeyer et al. Journal of Management, 41(6), 1561–1577. https://doi.org/10.1177/0149206315591075
Depaoli, S., & van de Schoot, R. (2017). Improving transparency and replication in Bayesian statistics: The WAMBS-Checklist. Psychological Methods, 22(2), 240–261. https://doi.org/10.1037/met0000065
MacCallum, R. C., Edwards, M. C., & Cai, L. (2012). Hopes and cautions in implementing Bayesian structural equation modeling. Psychological Methods, 17(3), 340–345. https://doi.org/10.1037/a0027131
Muthén, B., & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. https://doi.org/10.1037/a0026802
Muthén, B. O., & Asparouhov, T. (2012). Rejoinder to MacCallum, Edwards, and Cai (2012) and Rindskopf (2012): Mastering a new method. Psychological Methods, 17(3), 346–353. https://doi.org/10.1037/a0029214
Rindskopf, D. (2012). Next steps in Bayesian structural equation models: Comments on, variations of, and extensions to Muthén and Asparouhov (2012). Psychological Methods, 17(3), 336–339. https://doi.org/10.1037/a0027130
Stenling, A., Ivarsson, A., Johnson, U., & Lindwall, M. (2015). Bayesian Structural Equation Modeling in Sport and Exercise Psychology. Journal of Sport and Exercise Psychology, 37(4), 410–420. https://doi.org/10.1123/jsep.2014-0330
van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf, J. B., Neyer, F. J., & van Aken, M. A. G. (2014). A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research. Child Development, 85(3), 842–860. https://doi.org/10.1111/cdev.12169
Explaining the p-value (https://www.youtube.com/watch?v=Qhw-StTXDbA&feature=youtu.be)
BSEM in AMOS (http://amosdevelopment.com/video/bayesian/intro/flash/intro.html)