Daniel J. Bauer, Ph.D.


Curriculum Vitae

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

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


Thank you for visiting my web site. I am a professor in the Quantitative Psychology Program of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology at the University of North Carolina at Chapel Hill. On my web site, I keep copies of many of my publications and conference presentations, as well as related supplementary material like computer code and technical appendices.

Research Interests

The overarching goals of my program of research are to propose, evaluate, and apply quantitative modeling techniques to improve research on the development of negative social and health behaviors and psychopathology. I have focused particularly on generalized and nonlinear latent variable models, a broad class of models which includes multilevel models, factor analysis, structural equation models, latent curve models, item response theory models, latent class models, and mixture models. A current emphasis of my research is integrative data analysis, or the simultaneous analysis of data that is pooled across multiple, independently conducted studies. Similar in spirit to meta-analysis, integrative data analysis is conducted at the level of the raw data to permit not only replication but also the assessment of new scientific questions that, for instance, might concern low base-rate behaviors, population subgroups, or long spans of development, that would be difficult to evaluate in any single study.

Post-Doctoral Fellowship

My collaborators and I are seeking applicants for a NICHD (NRSA) postdoctoral fellowship through the Carolina Consortium on Human Development at the Center for Developmental Science to engage in methodological research primarily focused on facilitating integrative data analysis (see Research Interests above). Please click here for additional details.

Prospective Graduate Students

Our graduate program admits students at the program level. This model for admission is in contrast to some graduate programs that use an apprenticeship model in which students are admitted by individual faculty members. Although we make sure that all of the students we accept have research interests that match one or more potential faculty mentors, we do not necessarily require that the student's advisor be identified at the outset. This model provides some flexibilty for students to explore interests before settling into a specific lab. As interests change, it is even possible for students to work in multiple labs, or to have a different doctoral advisor than master's advisor. With all of this in mind, I will be available to advise at least one new student for the following academic year. Applicants with potential interests in my research are encouraged to browse publications posted on this web page.