Emilie (Rausch) Shireman
Graduate Research Fellow |
107 Psychology Building
I am interested broadly in the critical evaluation of latent variable modeling techniques, particularly latent class analysis, structural equation modeling, and growth mixture modeling, with applications in alcohol research.
Shireman, E.M., Steinley, D. & Brusco, M. (in press). Local optima in mixture modeling. Multivariate Behavioral Research.
Shireman, E.M., Steinley, D., & Brusco, M. (in press). Examining the eect of initialization strategies on the results of Gaussian mixture modeling. Behavior Research Methods.
Shireman, E., Steinley, D., & Sher, K. (2015). Sex differences in the latent class structure of alcohol use disorder: Does (dis)aggregation of indicators matter? Experimental and Clinical Psychopharmacology, 23(4), 291-301.
Shireman, E. (2015). Abstract: Classication quality and locally optimal solutions in a mixture model. Multivariate Behavioral Research, 50, 143.
Cramer, R. J., Johnson, S. M., McLaughlin, J., Rausch, E. M., & Conroy, M. A. (2013). Suicide risk assessment training for psychology doctoral programs: Core competencies and a framework for training. Training and Education in Professional Psychology, 7(1), 1.
Manuscripts in Preparation
Brusco, M. J., Shireman, E., & Steinley, D. (2015). A comparison of latent class, K-means, and K-median method for clustering dichotomous data. Manuscript submitted for publication.
Shireman, E.M., & Steinley, D. (2015). Evaluating the majority rule model selection heuristic for mixture modeling. Manuscript submitted for publication.
Shireman, E.M. (2015). Modeling groups using the skew-t distribution: A comparison to the traditional Gaussian model. Manuscript in preparation.
Shireman, E.M., Steinley, D., & Wood, P.K. (2015). On the use of the latent profile analysis for longitudinal data Manuscript in preparation.
Shireman, E.M., Steinley, D., Piasecki, T.M., Vinson, D., & Sher, K. (2015). An examination of the effect of item characteristics on measuring alcohol consumption: Implications for data pooling. Manuscript in preparation.
Shireman, E.M. & Steinley, D. (2015). Examining the efficacy of taxometric techniques for classification: A comparison to normal mixture modeling. Manuscript in preparation.