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simsem

R package for simulated structural equation modeling

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Books/Papers introducing how to use simsem in applications

Beaujean, A. A. (2014). Sample size determination for regression models using Monte Carlo methods in R. Practical Assessment, Research, & Evaluation, 19, 1-14. Paper.

Beaujean, A. A. (2014). Latent variable modeling using R: A step-by-step guide. New York: Routledge. Book.

Schoemann, A. S., Miller, P. J., Pornprasertmanit, S., & Wu, W. (2014). Using Monte Carlo simulations to determine power and sample size for planned missing designs. International Journal of Behavioral Development, 38, 471-479. Paper.

Books/Papers using simsem in their simulations

Jia, F., Moore, W. G., Kinai, R., Crowe, K. S., Schoemann, A. M., & Little, T. D. (2014). Planned missing data desings with small sample sizes: How small is too small? International Journal of Behavioral Development, 38, 435-452. Paper.

Jorgensen, T. D., Rhemtulla, M., Schoemann, A., McPherson, B., Wu, W., & Little, T. D. (2014). Optimal assignment methods in three-form planned missing data designs for longitudinal panel studies. International Journal of Behavioral Development, 38, 397-410. Paper.

Garnier-Villarreal, M., Rhemtulla, M., & Little, T. D. (2014). Two-method planned missing designs for longitudinal research. International Journal of Behavioral Development, 38, 411-422. Paper.

Rhemtulla, M., Jia, F., Wu W., & Little, T. D. (2014). Planned missing designs to optimize the efficiency of latent growth parameter estimates. International Journal of Behavioral Development, 38, 423-434. Paper.

Pornprasertmanit, S., Wu, W., & Little, T. D. (2013). Using a Monte Carlo approach for nested model comparisons in structural equation modeling. In R. E. Millsap, L. A. van der Ark, D. M. Bolt, & C. M. Woods (Eds.), New developments in quantitative psychology (pp. 187-197). New York: Springer. Paper.

Pornprasertmanit, S., Wu, W., & Little, T. D. (2013). Taking into account sampling variability of model selection indices: A parametric bootstrap approach. Multivariate Behavioral Research, 48, 168-169 (Abstract). Paper.

Presentations using simsem

Schoemann, A. M. (Symposium Chair, May, 2014). Exploring the lavaan ecosystem: Packages to extend the capability of lavaan. Symposium held at the Modern Modeling Methods (M3) Conference, Storrs, CT. Contributors include Sacha Epskamp, Daniel Oberski, Sunthud Pornprasertmanit, Alexander Schoemann, Lara Stas, & Timo von Oertzen. Link. Introduction Presentation. Introduction Code.

Pornprasertmanit, S., Schoemann, A. M., & Miller, P. (2014). simsem: SIMulated Structural Equation Modeling in R. Paper presented at the Modern Modeling Methods (M3) Conference, Storrs, CT. Presentation. Code.

Garnier-Villarreal, M., Schoemann, A. M., & Little, T. D. (2014). You shall combine, but how? A comparison of the methods to combine the χ2 using Multiple Imputation. Paper presented at the Modern Modeling Methods (M3) Conference, Storrs, CT.

Jorgensen, T. D., Rhemtulla, M., Schoemann, A. M., McPherson, B., Wu, W., & Little, T. D. (2014). Removing Bias Due to Practice Effects Using a Three-Form Planned Missing Data Design. Paper presented at the Modern Modeling Methods (M3) Conference, Storrs, CT.

Rifenbark, G. G., Schoemann, A.M., Wu, W., & Little, T.D. (January, 2013). 3-Form Planned Missing Data Designs for Personality and Social Psychology. Poster presented at the Annual Meeting of the Society for Personality and Social Psychology, New Orleans, LA. Poster.

Little, T. D., Schoemann, A. M., Pornprasertmanit, S., & Miller, P. (October, 2012). simsem: SIMulated Structural Equation Modeling in R. Paper presented at the Tenth Annual Society of Multivariate Experimental Psychology, Vancouver, Canada. Presentation, Handout.

Pornprasertmanit, S., Wu, W., & Little, T. D. (October, 2012). Taking into account sampling variability of model selection indices: A parametric bootstrap approach. Poster (with honorable mention) presented at the Tenth Annual Society of Multivariate Experimental Psychology Graduate Student Pre-conference, Vancouver, Canada. Presentation, Example Code.

Pornprasertmanit, S., Wu, W., & Little, T. D. (July, 2012). Using a parametric bootstrap approach for nested model comparisons in structural equation modeling. Presentation at the International Meeting of the Psychometric Society, Lincoln, NE. Presentation, Example Code.

Schoemann, A. M., Pornprasertmanit, S., & Miller, P. (July, 2012). simsem: SIMulated Structural Equation Modeling in R. Presentation at the International Meeting of the Psychometric Society, Lincoln, NE. Presentation, Example Code.

Gibson, K., Schoemann, A. M., Jia, F., Rifenbark, G., Jorgenson, T. D., Rhemtulla, M., Wu, W., & Little, T. D. (July, 2012) Power of planned missing designs in longitudinal panel designs. Poster presented at the International Meeting of the Psychometric Society, Lincoln, NE. Poster.

Kinai, R., Jorgenson, T. D., Rifenbark, G., Jia, F., Schoemann, A. M., Little, T. D., & Wu, W. (July, 2012) Power and bias in three-forms planned missing data designs for longitudinal mediation. Poster presented at the International Meeting of the Psychometric Society, Lincoln, NE. Poster.

Schoemann, A. M., Little, T. D., Rhemtulla, M., & Pornprasertmanit, S. (May, 2012). From discrete conditions to continuous factors: Rethinking methodological simulations. Presentation at the Modern Modeling Methods (M3) Conference, Storrs, CT. Presentation, Example Code.

Pornprasertmanit, S., Wu, W., & Little, T. D. (May, 2012). Monte Carlo Approach to Model Fit Evaluation in Structural Equation Modeling: How to Specify Trivial Misspecification. Presentation given at the American Psychological Society Annual Convention, Chicago, IL. Presentation, Example Code.

Schoemann, A. M., & Pornprasertmanit, S. (February, 2012). simsem: An R package for the future generation of SEM. Presentation given at the first CRMDA workgroup symposium series in the Center of Research Methods and Data Analysis, University of Kansas. Presentation, Example Code.