Emilie (Rausch) Shireman


Graduate Research Assistant


107 Psychology Building
emr2p7@mail.missouri.edu


Research Interests

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.



Selected Publications

Shireman, E.M., Steinley, D., & Sher, K.J. (2015). Sex differences in the latent class structure of alcohol use disorder: Does (dis)aggregation of indicators matter? Experimental and Clinical Psychopharmacology, 50, 143.

Shireman, E.M. (2015). Abstract: Classification quality and locally optimal solutions in a mixture model. Multivariate Behavioral Research, 50(1), 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.
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Professional Presentations (in chronological order)

Rausch, E.M. (2012, June). K-means Clustering and Mixture Modeling: A comparison. Presentation at the annual meeting of the Classification Society, Pittsburgh, PA.

Rausch, E.M. (2013, June). Local Optima in Mixture Modeling: Examining the effect of masking variables. Presentation at the annual meeting of the Classification Society, Milwaukee, WI.

Shireman, E.M. (2013, October). Examining the Latent Space of Alcohol Use Disorders. Poster presented at the annual meeting of NIAAA Training Directors, San Diego, CA.

Shireman, E.M. (2014, June). The Effect of Data Aggregation on Latent Class Analyses of AUD: An examination with NESARC. Poster presented at the joint meeting of the Research Society on Alcoholism/International Society for Biometical Research Society on Alcoholism, Bellevue, WA.

Shireman, E.M. (2014, October). Classification Quality and Locally Optimal Solutions in a Mixture Model. Poster to be presented at the annual meeting of the Society of Multivariate Experimental Psychology, Nashville, TN.

Shireman, E.M. (2015, May). Similar fit statistics and similar partitions: How selecting a suboptimal solution impacts the accuracy of a mixture model. Poster to be presented at the annual Modern Modeling Methods Conference, Storrs, CT.

Shireman, E.M. (2015, June). Model selection in mixture modeling: A comparison of 21 fit statistics. Paper presented at the annual meeting of the Classification Society, Hamilton, ON, Canada.

Shireman, E.M. (2015, June). Finding an optimal quantity-frequency measure of alcohol consumption. Poster presented at the annual meeting of the Research Society on Alcoholism, San Antonio, TX.
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Manuscripts in Preparation

Shireman, E.M., Steinley, D., & Brusco, M. (2015). Local optima in Mixture Modeling. Manuscript submitted for publication.

Shireman, E.M., Steinley, D. & Brusco, M. (2015). Examining the effect of initialization strategies on the performance of mixture modeling. Manuscript submitted for publication.

Shireman, E.M. & Steinley (2015). Model selection in mixture modeling: A comparison of 21 fit statistics. Manuscript in preparation.

Shireman, E.M. & Steinley, D. (2015) Comparing classic clustering for classification to taxometric techniques. Manuscript in preparation.

Shireman, E.M. (2015). Mixture modeling using the skew-t distribution: A demonstration with alcohol consumption. Manuscript in preparation.

Shireman, E.M., Steinley, D., Piasecki, T., Vinson, D., & Sher, K. (2015). A Comparison of Quantity Frequency Measures of Alcohol Consumption. Manuscript in preparation.

Shireman, E.M., Steinley, D., & Wood, P. (2015). A Two-Step Modeling Procedure for the Polynomial Growth Mixture Model. Manuscript in preparation.