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We are a highly research-active program with faculty and graduate students routinely contributing to the psychological sciences through the design, evaluation, and application of advanced quantitative methods. Below is a sampling of recent publications from faculty and students in the Lab, with current and recent past Lab members denoted in bold. 

Faculty Projects

  • Bauer, D.J., Gottfredson, N.C., Dean, D., & Zucker, R.A. (2013). Analyzing repeated measures data on individuals nested within groups: accounting for dynamic group effects. Psychological Methods, 18, 1-14.
  • Bauer, D.J., Howard, A.L., Baldasaro, R.E., Curran, P.J., Hussong, A.M., Chassin, L., Zucker, R.A. (2013). A trifactor model for integrating ratings across multiple informants. Psychological Methods, 18, 475-493.
  • Castro-Schilo, L., & Ferrer, E. (2013). Comparison of nomothetic versus idiographic-oriented methods for making predictions about distal outcomes with time-series data. Multivariate Behavioral Research, 48, 175-207.
  • Castro-Schilo, L., Widaman, K. F., & Grimm, K. J. (2013). Neglect the structure of multitrait-multimethod data at your Peril: Implications for associations with external variables. Structural Equation Modeling, 20, 181-207.
  • Curran, P.J., McGinley, J.S., Bauer, D.J., Hussong, A.M., Burns, A., Chassin, L., Sher, K., & Zucker, R. (2014). A moderated nonlinear factor model for the development of commensurate measures in integrative data analysis. Multivariate Behavioral Research, 49, 214-231.
  • Curran, P.J., Howard, A.L., Bainter, S., Lane, S.T., & McGinley, J.S. (2013). The separation of between-person and within-person components of individual change over time: A latent curve model with structured residuals. Journal of Consulting and Clinical Psychology, 82, 879-894.
  • Mayer, J. D., Panter, A. T., & Caruso, D. (2012). Does Personal Intelligence exist? A first look using ability-based measures. Journal of Personality Assessment, 94, 124-140.
  • Panter, A. T., & Sterba, S. K. (Eds.) (2011). Handbook of ethics in quantitative methodology. New York, NY: Routledge.
  • Gates, K.M., Molenaar, P. C. M., Iyer, S. P., Nigg, J. T., & Fair, D. A. (2014). Organizing heterogeneous samples using community detection of GIMME-derived resting state functional networks, PLoS one, 9, e91322.
  • Gates, K. M. & Molenaar, P. C. M. (2012). Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples. NeuroImage 63, 310-319.
  • Steinberg, L., & Thissen, D. (2013). Item response theory. In J. Comer & P. Kendall (Eds.), The Oxford handbook of research strategies for clinical psychology (Pp. 336-373). New York, NY: Oxford University Press.
  • Thissen-Roe, A., & Thissen, D. (2013) A two-decision model for responses to Likert-type items. Journal of Educational and Behavioral Statistics, 38, 522-547.

Student Projects

  • Bainter, S.A., & Bollen, K.A. (in press). Interpretational confounding or confounded interpretations of causal indicators? Measurement.
  • Dean, D.O., Bauer, D.J., & Shanahan, M.J. (2014). A discrete-time Multiple Event Process Survival Mixture (MEPSUM) model. Psychological Methods, 19, 251-264.
  • Hutton, R.S., & Chow, S-M. (2014). Longitudinal Multi-Trait-State-Method Model Using Ordinal Data. Multivariate Behavioral Research, 49(3), 269-282.
  • Kurtz, J. E., Henk, C. M., Bupp, L. L., & Dresler, C. M. (in press). Validity of PIM-prediction deviation scores for detecting concealed psychopathology on the PAI. Psychological Assessment. 
  • Lane, S.T., Franklin, J.C., & Curran, P.J. (2013). Clarifying the nature of startle habituation using latent curve modeling. International Journal of Psychophysiology, 88, 55-63.
  • Liu, Y., & Maydeu-Olivares, A. (2014). Identifying the Source of Misfit in Item Response Theory Models. Multivariate Behavioral Research, 49, 354-371.
  • McGinley, J.S., & Curran, P.J. (2014). Validity concerns with multiplying ordinal items defined by binned counts: An application to a quantity-frequency measure of alcohol use. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 10, 108-116.
  • Varni, J.,W., Magnus, B., Stucky, B.D., Liu, Y., Quinn, H., Thissen, D., Gross, H.E., Huang, I., & DeWalt, D.A. (2013). Psychometric properties of the PROMIS pediatric scales: Precision, stability, and comparison of different scoring and administration options. Quality of Life Research, 23(4), 1233-1243.