Software & Utilities

 Curriculum Vitae











I am an Assistant Professor in the Quantitative Methods program within the Department of Psychology at York University.


Research Interests


My quantitative work is centered on the topic of quantifying the uncertainty inherent in results obtained from fitting latent variable models to data. Latent variable models include factor analysis models, structural equation models (SEM), structural equation mixture models (SEMM), multilevel models (MLM) and latent growth curve models.  One aspect of this research focuses on the issue of quantifying uncertainty due to cases, which involves the identification of influential cases that unduly impact model results. Parameter estimates are another aspect of model results that carry uncertainty, in the form of sampling variability, that is typically communicated by confidence intervals and confidence regions. Work in this area has focused on the development, estimation and evaluation of confidence regions for multiple parameters in latent variable models. A third aspect of my research concerns fungible parameter values, or a set of suboptimal parameter estimates obtained when model fit is slightly worse than optimal. Here, the suboptimal model fit associated with fungible values is of no practical difference compared to model fit associated with optimal parameter estimates. Fungible parameter values may exhibit large deviations from optimal parameter estimates, and the difference between fungible values and optimal estimates quantify the stability of parameter estimates across small changes to model fit. Finally, my research interests also extend to statistical graphics, where development has focused on visualizing and graphically communicating these various kinds of uncertainty.  


In a recent campus event for students, a poster was  presented to summarize a newer line of research focused on  bridging the application of quantitative methodology in psychological  research. Three topics of research was highlighted: Psychological Measurement, Statistical Graphics, and Advanced Statistical Methods. This work is motivated by the many recent discussions centered on  strengthening the defensibility of psychological findings by improving quantitative methodology.

Click here for a copy of the poster.








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Jolynn Pek

322 Behavioural Science Building

Department of Psychology

4700 Keele Street Toronto, Ontario

Canada M3J 1P3


Phone: 416 736 2100 (x 33439)

Email: pek@yorku.ca

Updated March 14, 2017