Daniel J. Bauer, Ph.D.
Associate Professor

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Curriculum Vitae


UNC-CH
Department of Psychology
Davie Hall
Chapel Hill, NC 27599-3270

Phone: 919-962-4020
Fax: 919-962-2537
e-Mail: dbauer@email.unc.edu

Below are selected manuscripts that can be directly downloaded in PDF (Adobe Acrobat). Please let me know if there is anything you can't find here or if you have any questions.  

    Bauer, D.J. & Cai, L. (in press). Consequences of unmodeled nonlinear effects in multilevel models. Journal of Educational and Behavioral Statistics.

Also Available: Appendices of analytic derivations, Detailed results of simulations

    Bauer, D.J. & Sterba, S.K. (2008). Evaluating group-based interventions when control participants are ungrouped. Multivariate Behavioral Research, 43, 210-236

Also Available: Demonstration within SAS, Demonstration within SPSS

    Hussong, A., Bauer, D.J. & Chassin, L. (2008). Telescoped trajectories from alcohol initiation to disorder in children of alcoholic parents. Journal of Abnormal Psychology, 117, 63-78.

    Kamata, A. & Bauer, D.J. (2008). A note on the relationship between factor analytic and item response theory models . Structural Equation Modeling: A Multidisciplinary Journal, 15, 136-153.

    Kamata, A., Bauer, D.J. & Miyazaki, Y. (2008). Multilevel measurement modeling. In A.A. O'Connell & D.B. McCoach (Eds.) Multilevel Modeling of Educational Data (pp. 345-388). Charlotte, NC: Information Age Publishing.

    Bauer, D.J. (2007). Observations on the use of growth mixture models in psychological research. Multivariate Behavioral Research, 42, 757-786.

    Bauer, D.J., & Shanahan, M.J. (2007). Modeling complex interations: person-centered and variable-centered approaches. In T.D. Little, J.A. Bovaird & N.A. Card (Eds.) Modeling Contextual Effects in Longitudinal Studies (pp. 255-284). Mahwah, NJ: Lawrence Earlbaum Associates.

    Curran, P.J., & Bauer, D.J. (2007). A path diagramming framework for multilevel models. Psychological Methods, 12, 283-297.

   Meade, A.W. & Bauer, D.J. (2007). Power and precision in confirmatory factor analytic tests of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14, 611-635.

    Bauer, D.J., Preacher, K.J. & Gil, K.M. (2006). Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations. Psychological Methods, 11, 142-163.

Also Available for SAS users: Instructions on fitting models with random indirect effects in SAS, example SAS code, a macro for testing random indirect effects, and a simulated example data file.

Also Available for SPSS users: Instructions on fitting models with random indirect effects in SPSS, an Excel worksheet for testing random indirect effects, and a simulated example data file.

Also Available for HLM users: Instructions on fitting models with random indirect effects in HLM, an Excel worksheet for testing random indirect effects, and a simulated example data file.

    Hipp, J.R. & Bauer, D.J. (2006). Local solutions in the estimation of growth mixture models. Psychological Methods, 11, 36-53. 

    Curran, P.J., Bauer, D.J, & Willoughby, M.T. (2006). Testing and probing interactions in hierarchical linear growth models. In C.S. Bergeman & S.M. Boker (Eds.), The Notre Dame Series on Quantitative Methodology, Volume 1: Methodological Issues in Aging Research (pp. 99-129). Mahwah, NJ: Lawrence Erlbaum Associates.

Also Available: Web page for calculating and ploting simple slopes, regions of significance and confidence bands.

    Preacher, K.J., Curran, P.J. & Bauer, D.J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437-448.

Also Available: Web page for calculating and ploting simple slopes, regions of significance and confidence bands.

    Bauer, D.J. (2005). The role of nonlinear factor-to-indicator relationships in tests of measurement equivalence. Psychological Methods, 10, 305-316.

    Bauer, D.J. (2005). A semiparametric approach to modeling nonlinear relations among latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 4, 513-535.

    Bauer, D.J. & Curran, P.J. (2005). Probing interactions in fixed and multilevel regression: inferential and graphical techniquesMultivariate Behavioral Research, 40, 373-400.

Also Available: Web page for calculating and ploting simple slopes, regions of significance and confidence bands.

    Hipp, J.R., Bauer, D.J. & Bollen, K.A. (2005). Conducting tetrad tests of model fit and contrasts of tetrad-nested models: a new SAS macro. Structural Equation Modeling, 12, 76-93.

Also Available: Software and documentation.

    Bauer, D.J. & Curran, P.J. (2004). The integration of continuous and discrete latent variable models: potential problems and promising opportunitiesPsychological Methods, 9, 3-29.

    Bollen, K.B. & Bauer, D.J. (2004). Automating the selection of instrumental variables. Sociological Methods & Research, 32, 425-452.

Also Available: SAS/IML program for selecting IVs when using 2SLS estimator for SEMs

    Curran, P.J., Bauer, D.J., & Willoughby, M.T. (2004). Testing and probing main effects and interactions in latent curve analysis. Psychological Methods, 9, 220-237.

Also Available: Web page for calculating and ploting simple slopes, regions of significance and confidence bands.

    Hipp, J.R., Bauer, D.J., Curran, P.J. & Bollen, K.A. (2004). Crimes of opportunity or crimes of emotion? Testing two explanations of seasonal change in crime. Social Forces, 82, 1333-1372

    Shanahan, M.J. & Bauer, D.J. (2004).  Developmental properties of transactional models: the case of life-events and mastery from adolescence to young adulthood. Development and Psychopathology, 16, 1095-1117.

    Bauer, D.J. (2003).  Estimating multilevel linear models as structural equation modelsJournal of Educational and Behavioral Statistics, 28, 135-167. 

Also Available: Tabled Estimates and Program Files for empirical examples.

    Bauer, D.J. & Curran, P.J. (2003a). Distributional assumptions of growth mixture models:  Implications for over-extraction of latent trajectory classesPsychological Methods, 8, 338-363. 

Also Available:  Monte Carlo Technical Appendix.

    Bauer, D.J. & Curran, P.J. (2003b). Over-extraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthen (2003), and Cudeck and Henly (2003)Psychological Methods, 8, 384-393.