Milica Mio膷evi膰
Associate Professor
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Contact Information:
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Office: 2001 平特五不中 College, 757
Phone: 514.398.6124
Email: milica.miocevic[at]mcgill.ca
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Mailing Address:
Department of Psychology
2001 平特五不中 College, 7th floor
Montreal, QC
H3A 1G1
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Research Areas:
Quantitative Psychology & Modelling
Research Summary:
Dr. Mio膷evi膰鈥檚 research revolves around statistical mediation analysis and Bayesian methods applied to research in the social, health, and behavioral sciences. More specifically, she has three research lines that focus on: 1) optimal methods for using historical data and pilot studies to create informative prior distributions for Bayesian mediation analysis, 2) methods for synthesizing findings about the mediated effect in the presence of important between-study differences (e.g., samples from different populations), and 3) mediation analysis in Single Case Experimental Designs (SCEDs).
She received her Ph.D. from Arizona State University working with Dave MacKinnon and Roy Levy, and she was an Assistant Professor in the Department of Methods and Statistics at Utrecht University prior to joining the Psychology department at 平特五不中.
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Selected References:
For a complete list of publications, please see:听
Mio膷evi膰, M., Levy, R., & Savord, A. (2020). The Role of Exchangeability in Sequential Updating of Findings from Small Studies and the Challenges of Identifying Exchangeable Data Sets. In R. Van de Schoot & M. Mio膷evi膰 (Eds.), Small sample size solutions: A guide for applied researchers and practitioners: Routledge.
Smid, S. C., McNeish, D., Mio膷evi膰, M., & van de Schoot, R. (2019). Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review. Structural Equation Modeling: A Multidisciplinary Journal, 1-31.
Mio膷evi膰, M., Gonzalez, O., Valente, M. J., & MacKinnon, D. P. (2018). A tutorial in Bayesian potential outcomes mediation analysis. Structural Equation Modeling: A Multidisciplinary Journal, 25(1), 121-136.
Mio膷evi膰, M., MacKinnon, D. P., & Levy, R. (2017). Power in Bayesian Mediation Analysis for Small Sample Research. Structural Equation Modeling: A Multidisciplinary Journal, 1-18.
Mio膷evi膰, M., O鈥橰ourke, H. P., MacKinnon, D. P., & Brown, H. C. (2017). Statistical properties of four effect-size measures for mediation models. Behavior Research Methods, 1-17.