Resources

Canadian Psychological Association – Quantitative Methods Section

Chair: Dr. Johnson LI (2023 – present)



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Machine Learning Approaches to Psychological Research

Lavelle-Hill, R., Smith, G., & Murayama, K. (2023). Machine learning meets traditional statistical methods in psychology: Challenges and future directions. OSF Preprints10. https://files.osf.io/v1/resources/6xt82/providers/osfstorage/653fb1b9282745178fb86616?action=download&direct&version=1

Dwyer, D. B., Falkai, P., & Koutsouleris, N. (2018). Machine learning approaches for clinical psychology and psychiatry. Annual Review of Clinical Psychology14(1), 91-118. https://doi.org/10.1146/annurev-clinpsy-032816-045037

Orrù, G., Monaro, M., Conversano, C., Gemignani, A., & Sartori, G. (2020). Machine learning in psychometrics and psychological research. Frontiers in Psychology10, 2970. https://doi.org/10.3389/fpsyg.2019.02970

Rosenbusch, H., Soldner, F., Evans, A. M., & Zeelenberg, M. (2021). Supervised machine learning methods in psychology: A practical introduction with annotated R code. Social and Personality Psychology Compass15(2), e12579. https://doi.org/10.1111/spc3.12579

Van Lissa, C. J. (2023). Developmental data science: How machine learning can advance theory formation in developmental psychology. Infant and Child Development32(6), e2370. https://doi.org/10.1002/icd.2370

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What are Quantitative Methods for Psychology?

APA Division 5 (Quantitative and Qualitative Methods: https://www.apadivisions.org/division-5

Graduate Programs: https://www.apadivisions.org/division-5/resources/doctoral

Stamm (2016). Career Spotlight: Quantitative Psychology. https://www.apa.org/ed/precollege/psn/2016/01/quantitative-psychology

Osborne J. W. (2010). Challenges for quantitative psychology and measurement in the 21st century. Frontiers in psychology1, 1. https://doi.org/10.3389/fpsyg.2010.00001

Counsell, A., Cribbie, R. A., & Harlow, L. L. (2016). Increasing literacy in quantitative methods: The key to the future of Canadian psychology. Canadian Psychology / Psychologie canadienne, 57(3), 193–201. https://doi.org/10.1037/cap0000056