Bruno D. Zumbo, Ph.D.  e-mail: bruno.zumbo@ubc.ca Professor The University of British Columbia Program Area: Measurement, Evaluation, & Research Methodology Click here to see the scholarly roots of the Edgeworth Lab. Postal Address, phone, and Fax numbers

Additional Professional Affiliations (Associate Member and Faculty Member):

• Department of Statistics, University of British Columbia (UBC)
  
• Institute of Applied Mathematics, UBC
  
• Senior Scholar, Psychometrics & Statistics, Human Early Learning Partnership (HELP) , UBC
• Department of Psychology, UBC

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Editorial Work:

Associate Editor of the Journal of Modern Applied Statistical Methods. To learn about the journal click here .

Dr. Zumbo is a statistician whose professional interests center upon developing statistical theory and quantitative methods for conducting research, testing, and evaluation. In essence, his interests are in mathematical and statistical methods. He completed his B.Sc. at the University of Alberta and then his M.A. and Ph.D. at Carleton University focusing in Mathematical Psychology and Statistics. Dr. Zumbo began his academic career as a professor at the University of Ottawa in the Measurement & Evaluation Program and the School of Psychology in 1989. In 1994 he moved to the then newly opened University of Northern British Columbia where he was Professor of Mathematics and Psychology. In the spring of 2000 he was recruited to The University of British Columbia, in Vancouver, with an eye toward further developing UBC's Measurement, Evaluation, & Research Methodology (MERM) Program in the Department of ECPS. At UBC his primary appointment is in the MERM Program with additional appointments in the Department of Statistics and the Institute of Applied Mathematics.

 He has two interrelated research programs:

1. Dr. Zumbo has done fundamental research in both theoretical and applied psychometrics and statistical science -- mathematical and statistical methods. His current research interests include procedures for evaluating variable importance in statistical models; performance characteristics of standard procedures (both parametric and nonparametric) under non-standard conditions; measurement theory (including axiomatic measurement theory, classical test theory and item response modeling), educational measurement, and the foundations of statistics.

2. He has developed a secondary reseach program on measurement, program evaluation, and methodological issues in quality of life, subjective well-being, and social science research. This part of his research program is, in essence, in the tradition of applied social psychology: social-psychological research and psychological measurement directed towards the understanding of human social behavior, the amelioration of social problems, and the improvement and understanding of the determinants and correlates of our quality-of-life.
 

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