Betsy McCoach

Profile picture of Dr. Betsy McCoach in front of a bookcase

Anne Anastasi Professor of Psychometrics and Quantitative Psychology
Curriculum Vitae

Email: [email protected]

Rose Hill Campus: Dealy Hall, Room 218
Phone: 

 

    • 2003 Ph.D. in Educational Psychology, University of Connecticut
    • 2002 Sixth Year Certificate in School Psychology, University of Connecticut
    • 2001 M.A. in Educational Psychology, University of Connecticut
    • 1993 M.A. in Secondary Education, Lehigh University
    • 1991 B.A. in Economics and Foreign Languages and Literatures, University of Delaware
    • Applied Measurement
    • Affective Instrument Design
    • Latent Variable Modeling
    • Multilevel Modeling
    • Gifted Education
    • Introduction to Causality and Causal Inference
    • Structural Equation Modeling
    • American Educational Research Association
    • American Psychological Association
    • Association for Psychological Science
    • National Council for Measurement in Education
    • National Association for Gifted Children
    • Psychometric Society
    • Society for Research on Educational Effectiveness

  • Gambino, A. J. & McCoach, D. B. (accepted). r2_mlm: A command for computing r-squared measures for models estimated by mixed. Stata Journal.

    Kenny, D. A., & McCoach, D. B. (online first). Ruling out Latent Time-Varying Confounders in Two-Variable Multi-Wave Studies. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2025.2503829

    Lee, J., McCoach, D. B., Harel, O, & Chung, H. (online first). Bayesian Multilevel Latent Class Profile Analysis: Inference and Estimation for Exploring the Diverse Pathways to Academic Proficiency. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2025.2501341

    Long, D., Peters, S. J., McCoach, D. B., Gambino, A., & Siegle, D. (accepted). How You Identify Determines Who You Identify: The Implications of the Choice of Talent Measures, Norms, Cut-Offs, and Combination Rules on the Academic Profile and Diversity of Students Identified as Gifted. Gifted Child Quarterly.

    Harris, M. & McCoach, D. B. (2025). Classify with Caution: An Illustrative Example Using Mixture Models and Machine Learning. Journal of Research in Personality, 116, DOI 10.1016/j.jrp.2025.104602

    McCoach, D. B., Peters, S., Gambino, A. J., Long, D., & Siegle, D. (2024). Who are we measuring? Teacher effects in gifted and talented teacher rating scales. Exceptional Children, 90(4), 422-441. https://doi.org/10.1177/00144029241247035

    Cintron, D. W.*, Loken, E., & McCoach, D. B. (2023). A cautionary note about having the right mixture model but classifying the wrong people. Multivariate Behavioral Research, 58 (4), 675-686. https://doi.org/10.1080/00273171.2022.2082913

  • Pelton, K. L. & McCoach, D. B. (2025, April).  Estimating Multilevel Reliability for School-Based Behavioral Measures.  Paper presented at the American Educational Research Association annual conference, Denver, CO.

    Simonsen, B., Coyne, M., D., McCoach, D. B., Newton, S., & Pelton, K. L. (2025, April).  Effect of I-MTSS on student engagement and off-task behavior.  Paper presented at the American Educational Research Association annual conference, Denver, CO.

    Peters, P., McCoach, D. B., & Little, C. A. (2025, April).  Gifted Identification Methods: An exploratory study of measurement considerations. Paper presented at the American Educational Research Association annual conference, Denver, CO.