Carl F. Falk
Assistant Professor
Department of Psychology
McGill University
Canada
Biography
Professor Falk’s research focuses mainly on the development, computer programming, and testing of latent variable models and related statistical methods, spanning across item response theory, structural equation modeling, and multilevel modeling. This research is envisioned as having potential broad applications across psychology and other social science disciplines (e.g., education, sociology, health outcomes). Recent examples include: (1) models for measuring psychological constructs in the presence of response styles; (2) semi- and non-parametric item response models for when common parametric assumptions are violated; (3) appropriate ways of handling of missing and non-normal data in structural equation modeling; and (4) interval estimation techniques for functions of model parameters (e.g., indirect effect in mediation analysis models).
Research Interest
Quantitative & Modelling
Publications
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Falk, C.F., & Cai, L. (2016). Maximum marginal likelihood estimation of a monotonic polynomial generalized partial credit model with applications to multiple group analysis. Psychometrika, 81, 434-460. http://dx.doi.org/10.1007/s11336-014-9428-7
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Falk, C.F., & Cai, L. (2016). A flexible full-information approach to the modeling of response styles. Psychological Methods, 21, 328-347. http://dx.doi.org/10.1037/met0000059
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Falk, C.F., & Monroe, S. (in press). On Lagrange Multiplier tests in multidimensional item response theory: Information matrices and model misspecification. Educational and Psychological Measurement. http://doi.org/10.1177/0013164417714506
