Jolynn Pek

Assistant Professor

Locations / Contact Info:

322 Behavioural Science - BSB
Keele Campus
Phone: 416 736 2100 Ext. 33439

Email address(es):

pek@yorku.ca

Web site(s):

http://www.yorku.ca/pek

Faculty & School/Dept.

Faculty of Health - Department of Psychology

Degrees

Ph.D. - 2012
Psychology
University of North Carolina at Chapel Hill

M.S. - 2010
Biostatistics
University of North Carolina at Chapel Hill

M.Soc.Sc. - 2006
Applied Psychology
National University of Singapore

B.Soc.Sc. - 2002
Psychology
National University of Singapore

Selected Publications

*indicates co-author who was a student at the time the research was conducted.



Pek, J., & Flora, D. (accepted). Reporting effect sizes in original psychological research: A discussion and tutorial. Psychological Methods.



Pek, J., *Chalmers, R. P., & Monette, G. (in press). On the relationship between confidence regions and exchangeable weights in multiple linear regression. Multivariate Behavioral Research. doi: 10.1080/00273171.2016.1225563



Pek, J., & Hoyle, R. H. (2016). On the (in)validity of tests of simple mediation: Threats and solutions. Social and Personality Psychology Compass, 10, 150-163. doi: 10.1111/spc3.12237



Pek, J., & *Chalmers, R. P., Kok, B. E., & Losardo, D. (2015). Visualizing con dence bands for semiparametrically estimated nonlinear relations among latent variables. Journal of Educational and Behavioral Statistics. doi: 10.3102/1076998615589129



Pek, J., & Wu, H. (2015). Profi le likelihood-based con dence intervals and regions for structural equation models. Psychometrika. doi: 10.1007/s11336-015-9461-1



Pek, J., & *Chalmers, R. P. (2015). Diagnosing nonlinearity with con dence envelopes for a semiparametric approach to modeling bivariate nonlinear relations among latent variables. Structural Equation Modeling. doi:10.1080/10705511.2014.93779



Sterba, S. K., & Pek, J. (2012). Individual influence on model selection. Psychological Methods, 17, 582-599



Willoughby, M. T., Pek, J., Greenberg, M. & the Family Life Project Investigators (2012). Parent-reported attention de cit/hyperactivity symptomatology in preschool-aged children: Factor structure, developmental change, and early risk factors. Journal of Abnormal Child Psychology, 40, 1301-1312.



Pek, J., Losardo, D., & Bauer, D. J. (2011). Con dence intervals for a semiparametric approach to nonlinear relations among latent variables. Structural Equation Modeling, 18, 537-553.



Pek, J., & MacCallum, R. C. (2011). Sensitivity analysis in structural equation models: Cases and their influence. Multivariate Behavioral Research, 46, 202-228.



Richman, L. S., Pek, J., Pascoe, E., & Bauer, D. J. (2010). The e ffects of perceived discrimination on ambulatory blood pressure and a ffective responses to interpersonal stress modeled over 24-hours. Health Psychology, 29, 403-411.



Pek, J., Sterba, S. K., Kok, B., & Bauer, D. J. (2009). Estimating and visualizing nonlinear relations among latent variables: A semiparametric approach. Multivariate Behavioral Research, 44, 407-436.



Fredrickson, B. L., Cohn, M. A., Coff ey, K., Pek, J., & Finkel, S. M. (2008). Positive emotions induced through meditation build consequential personal resources. Journal of Personality and Social Psychology, 95,1045-1062.



Bishop, G. D., Ngau, F., & Pek, J. (2008). Domain specifi c assessment of anger expression and ambulatory blood pressure. Personality and Individual Di fferences, 44, 1726-1737.



Richman, L. S., Bennett, G., Pek, J., Siegler, I., & Williams, R. B. Jr. (2007). Discrimination, dispositions and cardiovascular responses to stress. Health Psychology, 26, 675-683. 



 Bishop, G. D., Pek, J., & Ngau, F. (2006). Blunted cardiovascular responses to daytime activities as related to reduced nocturnal blood pressure decline. Annals of Behavioral Medicine, 31, 248-253.



Bishop, G. D., Pek, J., & Ngau, F. (2005). Ethnicity, sex, trait anger and nocturnal blood pressure. Psychophysiology, 42, 290-297.



 



 


Awards

Early Researcher Award - 2016

Dean's Health Research Catalyst Award - 2013

Supervision

Currently available to supervise graduate students: Yes

Currently taking on work-study students, Graduate Assistants or Volunteers: No

Available to supervise undergraduate thesis projects: Yes

Current Research

I am a Quantitative Methodologist whose research is motivated by promoting sound methodological practice in scientific discovery. My main work centers on the topic of quantifying the uncertainty inherent in statistical results. One aspect concerns quantifying uncertainty due to cases, where measures are devised to identify and evaluate influential cases because they unduly impact model results. Effect sizes, or parameter estimates, are another aspect of model results that carry uncertainty; my research develops optimal methods that better quantify uncertainties associated with the estimation and interpretation of effect sizes. A secondary aspect of my research centers on bridging the gap between methodological developments and their applied use. Here, I develop and provide freely available and user-friendly software that features visualizing results, and provide real data examples to illustrate their use.