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Social Sciences and Humanities

D-Index
51
Citations
23803
World Ranking
2493
National Ranking
1215

Overview

Daniel J. Bauer is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research spans multiple disciplines with a focus that intersects statistics, psychology, economics, and health professions.

Bauer has published extensively, contributing to a range of scientific venues. Among the frequent publication outlets are UNC Libraries, arXiv (Cornell University), Psychological Methods, Journal of Risk & Insurance, and SSRN Electronic Journal.

The main areas of study in Bauer's work include Statistics and Probability, Economics and Econometrics, Experimental and Cognitive Psychology, Artificial Intelligence, and General Health Professions. Their research topics cover a variety of important domains such as Mental Health Research Topics, Insurance and Financial Risk Management, Insurance, Mortality, Demography, Risk Management, Psychometric Methodologies and Testing, Financial Literacy, Pension, Retirement Analysis, Global Health Care Issues, and Advanced Statistical Modeling Techniques.

Bauer has collaborated frequently with several researchers, including:

  • Patrick J. Curran
  • Andrea M. Hussong
  • Nisha C. Gottfredson
  • Christopher J. Urban
  • Siyuan Marco Chen

Recent publications by Bauer include the following papers:

  • Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning, 2020, Psychological Methods
  • Psychometric models for scoring multiple reporter assessments: Applications to integrative data analysis in prevention science and beyond, 2020, International Journal of Behavioral Development
  • Chirality sensing of terpenes, steroids, amino acids, peptides and drugs with acyclic cucurbit[n]urils and molecular tweezers, 2020, Chemical Communications
  • A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis, 2021, Psychometrika
  • Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models, 2020, Multivariate Behavioral Research

Best Publications

  • Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis.

    Kristopher J. Preacher;Patrick J. Curran;Daniel J. Bauer

  • The disaggregation of within-person and between-person effects in longitudinal models of change.

    Patrick J. Curran;Daniel J. Bauer

  • Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations.

    Daniel J. Bauer;Kristopher J. Preacher;Karen M. Gil

  • Probing Interactions in Fixed and Multilevel Regression: Inferential and Graphical Techniques

    Daniel J. Bauer;Patrick J. Curran

  • Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes.

    Daniel J. Bauer;Patrick J. Curran

  • Local solutions in the estimation of growth mixture models.

    John R. Hipp;Daniel J. Bauer

  • The integration of continuous and discrete latent variable models: potential problems and promising opportunities.

    Daniel J. Bauer;Patrick J. Curran

  • Sexual and drug behavior patterns and HIV and STD racial disparities: the need for new directions.

    Denise Dion Hallfors;Bonita J. Iritani;William C. Miller;Daniel J. Bauer

  • Which Comes First in Adolescence—Sex and Drugs or Depression?

    Denise D. Hallfors;Martha W. Waller;Daniel J Bauer;Carol A. Ford

  • Observations on the Use of Growth Mixture Models in Psychological Research

    Daniel J. Bauer

  • Estimating Multilevel Linear Models as Structural Equation Models

    Daniel J. Bauer

  • A Note on the Relation Between Factor Analytic and Item Response Theory Models

    Akihito Kamata;Daniel J. Bauer

  • A More General Model for Testing Measurement Invariance and Differential Item Functioning.

    Daniel J. Bauer

  • Psychometric Approaches for Developing Commensurate Measures Across Independent Studies: Traditional and New Models

    Daniel J. Bauer;Andrea M. Hussong

  • Power and Precision in Confirmatory Factor Analytic Tests of Measurement Invariance

    Adam W. Meade;Daniel J. Bauer

  • Crimes of Opportunity or Crimes of Emotion? Testing Two Explanations of Seasonal Change in Crime

    John R. Hipp;Daniel John Bauer;Patrick Curran;Kenneth A. Bollen

  • Matching method with theory in person-oriented developmental psychopathology research.

    Sonya K. Sterba;Daniel J. Bauer

  • Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthén (2003), and Cudeck and Henly (2003)

    Daniel J. Bauer;Patrick J. Curran

  • Integrative Data Analysis in Clinical Psychology Research

    Andrea M. Hussong;Patrick J. Curran;Daniel J. Bauer

  • Simple Intercepts, Simple Slopes, and Regions of Significance in MLR 2-Way Interactions

    Kristopher J. Preacher;Patrick J. Curran;Daniel J. Bauer

  • "Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models": Clarification to Bauer and Hussong (2009).

    Daniel J. Bauer;Andrea M. Hussong

Frequent Co-Authors

Patrick J. Curran
Patrick J. Curran University of North Carolina at Chapel Hill
Andrea M. Hussong
Andrea M. Hussong University of North Carolina at Chapel Hill
Denise Dion Hallfors
Denise Dion Hallfors Pacific Institute For Research and Evaluation
Vangie A. Foshee
Vangie A. Foshee University of North Carolina at Chapel Hill
Susan T. Ennett
Susan T. Ennett University of North Carolina at Chapel Hill
Laurie Chassin
Laurie Chassin Arizona State University
Robert A. Zucker
Robert A. Zucker University of Michigan–Ann Arbor
Michael J. Shanahan
Michael J. Shanahan University of Zurich
John R. Hipp
John R. Hipp University of California, Irvine
Scott A. Baldwin
Scott A. Baldwin Brigham Young University

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