My research and teaching focus on quantitative methods for analyzing psychological data. In particular, my research centers around methods for determining when a 'lack of relationship' occurs. This could involve mean equivalence, lack of correlation, negligible interaction, etc. I am also interested in robust statistical tests for mean difference, the analysis of change, multiple comparison procedures, and related topics.

Recent Publications

Beribisky, N., Davidson, H., & Cribbie, R. A. (in press). What is the smallest meaningful association among two variables? PeerJ. https://peerj.com/articles/6853/

Farmus, L., Arpin-Cribbie, C. A., & Cribbie, R. A. (in press). Continuous predictors of   pretest-posttest change: Highlighting the impact of the regression artifact. Frontiers in  Quantitative Psychology and Measurement. https://www.frontiersin.org/articles/10.3389/fams.2018.00064/full

Hoyda, J., Counsell, A., & Cribbie, R. A. (in press). Traditional and Bayesian approaches for     testing mean equivalence and a lack of association. The Quantitative Methods for Psychology. Preprint

Davidson, H. & Cribbie, R. A. (in press). A more powerful familywise error controlling procedure for evaluating mean equivalence. Communications in Statistics: Simulation and Computation. DOI: https://doi.org/10.1080/03610918.2018.1530783.

Davidson, H., Jabbari, Y., Peters, K., Patton, H., O’Hagan, F. & Cribbie, R. A. (in press). Statistical software in Canadian university psychology courses. Teaching of Psychology. https://psyarxiv.com/d254c/

Counsell, A., Chalmers, R. P., & Cribbie, R. A. (in press). Comparing means under heteroscedasticity and nonnormality: Further exploring robust means modeling. Journal of Modern Applied Statistical Methods.  robust_means_modeling_counsell_chalmers_cribbie_jmasm

Shiskina, T., Farmus, L., & Cribbie, R. A. (in press). Testing for a lack of relationship among categorical variables. The Quantitative Methods for Psychologytqmp_lack_rel_categorical_shishkina_farmus_2018

Ng, V. K. & Cribbie, R.A. (in press). The gamma generalized linear model, log transformation, and the robust Yuen-Welch test for analyzing group means with skewed and heteroscedastic data. Communications in Statistics: Simulation and Computation. GLMYUEN2018 - Final - Jan 24 2018