Rex B Kline, PhD
PhD (Wayne State University)
My background is in measurement, psychological assessment, and child clinical psychology. Current areas of work include structural equation modeling, reform of methods for statistical inference in the behavioral sciences, and psychometrics.
Recent Publications, Colloquia, Seminars
Kline, R. B. (in production). Principles and practice of structural equation modeling (5th ed.). New York: Guilford Press.
Kline, R. B. (2020). Becoming a behavioral science researcher: A guide to producing research that matters (2nd ed.). New York: Guilford Press.
Kline, R. B. (2019). 구조방정식모형. (Principles and Practice of Structural Equation Modeling, 4th ed., Korean trans.). Seoul, Korea: Hakjisa Publisher.
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: Guilford Press.
Kline, R. B. (2013). Beyond significance testing: Statistics reform in the behavioral sciences (2nd ed.). Washington, DC: American Psychological Association.
Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board Task Force report. American Psychologist, 73, 3–25. https://doi.org/10.1037/amp0000191
Kline, R. B. (2015). Path models. In D. S. Dunn (Ed.), Oxford bibliographies in psychology. New York: Oxford University Press.
Kline, R. B. (2013). Reverse arrow dynamics: Feedback loops and formative measurement. In G. R. Hancock and R. O. Mueller, (Eds.), Structural equation modeling: A second course (2nd ed.) (pp. 39–76). Greenwich, CT: Information Age Publishing.
Kline, R. B. (2013). Exploratory and confirmatory factor analysis. In Y. Petscher & C. Schatschneider (Eds.), Applied quantitative analysis in the social sciences (pp. 171-207). New York: Routledge.
Zhang, M. F., Dawson, J., & Kline, R. B. (2021). Evaluating the use of covariance-based structural equation modelling with reflective measurement in organisational and management research: A review and recommendations for best practice. British Journal of Management, 32, 257–272. https://doi.org/10.1111/1467-8551.12415
Kline, R. B. (2020). Post p-value education in graduate statistics: Preparing tomorrow’s psychology researchers for a post-crisis future. Canadian Psychology, 61, 331–341. https://doi.org/10.1037/cap0000200
Sauvé, G., Kline, R. B., Shah, J. L., Joober, R., Malla, A., Brodeur, M. B., & Lepage, M. (2019). Cognitive capacity similarly predicts insight into symptoms in first- and multiple-episode psychosis. Schizophrenia Research, 206, 236–243. https://doi.org/10.1016/j.schres.2018.11.013
Nicolakakis, N., Stock, S. R., Abrahamowicz, M., Kline, R., & Messing, K. (2017). Relations between work and upper extremity musculoskeletal problems (UEMSP) and the moderating role of psychosocial work factors on the relation between computer work and UEMSP. International Archives of Occupational and Environmental Health, 90, 751–764. https://doi.org/10.1007/s00420-017-1236-9
Goodboy, A. K., & Kline, R. B. (2017). Statistical and practical concerns with published communication research featuring structural equation modeling. Communication Research Reports, 34, 1–10. https://doi.org/10.1080/08824096.2016.1214121
Kline, R. B. (2015). The mediation myth. Basic and Applied Social Psychology, 37, 202–213.
Mediation analysis in cross-sectional designs. La Société Statistique de Montréal (SSM) et Collectif pour le développement et les applications en mesure at évaluation de la Faculté des sciences de l’éducation de l’UQÀM, March 16, 2018.
New developments in mediation analysis. SSM et Collectif pour le développement et les applications en mesure at évaluation de la Faculté des sciences de l’éducation de l’UQÀM, November 25, 2016.
Living statistics reform. SSM et Collectif pour le développement et les applications en mesure at évaluation de la Faculté des sciences de l’éducation de l’UQÀM, March 24, 2016.
Becoming a behavioral science researcher. Southwest Educational Research Association, Presidential invited address, February 10, 2016.
Hello, statistics reform. Nebraska Academy for Methodology, Analytics and Psychometrics, University of Lincoln–Nebraska, Nov 10, 2015; School of Psychology, University of Ottawa, Sept 25, 2014; Department of Psychology, Concordia University, Sept 26, 2013.
New developments in structural equation modeling. Methodology, Analytics & Psychometrics Academy, University of Nebraska–Lincoln. Nov 10, 2014.
Advanced topics in structural equation modeling. Quebec Inter-University Centre for Social and Statistics (QICSS), Montréal, May 13–15, 2019; April 25–27, 2016; April 27–29, 2015; May 12–14, 2014; May 8–19, 2013; May 14–16, 2012.
Introduction to structural equation modeling. QICSS, Montréal, May 6–10, 2019; May 14−18, 2018; April 17–21, 2017; April 18–22, 2016; April 20–24, 2015; April 28–May 2, 2014; April 22–26, 2013; February 20-24, 2012; May 2–6, 2011; February 21–25, 2011; May 17–24, 2010; February 22–26, 2010; May 25–29, 2009; June 9–13, 2008; December 1–5, 2008; May 22–25, 2007.
Structural equation modeling. Istanbul Quantitative Lectures, School of Business, Istanbul University, July 6–11, 2015; August 25–31, 2014; July 1–12, 2013.
Introduction to structural equation modeling. Portland State University, Summer Quantitative Methods Series, Portland, OR, June 16–17, 2014; June 15–16, 2012.
Structural equation modeling. Axe Santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec, Université Laval, October 28-29, 2013.
Structural equation modeling. Ted Rogers School of Management, Ryerson University, May 13–14, 2013.
Structural Equation Modeling
Psychological Assessment (Child, Adult)
Psychopathology, (Child, Adult)
Schizophrenia and Neurocognitive Disorders
Introduction to Programming
Anxiety, Stress, & Coping
Basic and Applied Social Psychology