Falk Psychometrics Lab

Lab Overview

The Falk Psychometrics Lab is a part of the Department of Psychology at McGill University, and the Quantitative Psychology and Modelling area. Other key members and collaborators in this area include faculty members Heungsun Hwang and Milica MiočeviΔ‡, and faculty lecturer Jens Kreitewolf.

The research lab advances the capability of statistical methods and models, with a strong emphasis on the measurement of educational and psychological constructs. Recent projects span multiple modeling frameworks and topics, including detecting and modeling aberrant responding in survey research, appropriate ways of handling missing and non-normal data, statistical mediation analysis with latent variable models, and techniques for model selection and evaluating model complexity. Ongoing projects cover the full spectrum of the research process, from identifying gaps in current modeling practice, to developing and programming new methods and models, evaluation with simulations and real data, and providing software and tutorials for applied use.

People

Lab Director

Current Members

Alumni

Join Us

Interested in Psychometrics and Quantitative Psychology?

All interested applicants are encouraged to contact me. Interest in the development and use of statistical methods is required. Experience in computer programming and/or coursework in math/statistics is desirable. See Research for papers/topics that form the basis of my research program or feel free to write an email.

Graduate School πŸŽ“

Click here for more about Quantitative Psychology and Modelling at McGill

Undergraduate research πŸ–₯️

Requests from undergraduates who wish to be involved in research will be evaluated on a case-by-case basis.

Research collaborations 🌐

I am also happy to entertain potential collaborations from researchers in related fields (educational measurement, statistics, biostatistics).

What is Psychometrics and Quantitative Psychology? πŸ€”

Research Support

I am grateful to the following funding agencies and computational resources for support of past and current research: