[Monographs, research reports, and hard-to-find publications]

Below are links to my hard-to-reach papers; each can download a copy. You can find a full list of my papers at [PUBLICATIONS & SCHOLARLY ACTIVITY] 

  • Zumbo, B.D. (2023). Test Validation and Bayesian Statistical Frameworks To Estimate the Magnitude and Corresponding Uncertainty of Washback Effects of Test Preparation. UBC Psychometric Research Series, University of British Columbia. DOI: https://dx.doi.org/10.14288/1.0435197

  • Zumbo, B. D. (2021). A Novel Multimethod Approach to Investigate Whether Tests Delivered at a Test Centre are Concordant with those Delivered Remotely Online. URL at the UBC Library, DOI: http://dx.doi.org/10.14288/1.0400581

  • Zumbo, B.D. (2020). On Computational Psychometrics as a Validity Framework for Process Data (Featured Session). Presented at the Annual Meeting of the National Council for Measurement in Education (NCME), San Francisco, CA. [Online Virtual Conference]. [For a PDF copy click here]

    Stone, J., & Zumbo, B.D. (2016). Validity as a Pragmatist Project: A Global Concern with Local Application. In Vahid Aryadoust, and Janna Fox (Eds.), Trends in Language Assessment Research and Practice (pp. 555-573). Newcastle: Cambridge Scholars Publishing.  [For a PDF copy click here]
  • Zumbo, B. D., & Forer, B. (2011). Testing and Measurement from a Multilevel View: Psychometrics and Validation. In James A. Bovaird, Kurt F. Geisinger, & Chad W. Buckendahl (Editors).  High Stakes Testing in Education – Science and Practice in K-12 Settings, (pp.177-190).  American Psychological Association Press, Washington, D.C.   [For a PDF copy click here]

  • Zumbo, B. D. (2009). Validity as Contextualized and Pragmatic Explanation, and Its Implications for Validation Practice. In Robert W. Lissitz (Ed.) The Concept of Validity: Revisions, New Directions and Applications, (pp. 65-82). IAP – Information Age Publishing, Inc.: Charlotte, NC. [For a PDF copy click here]

    Zumbo, B.D. (2008).  Statistical Methods for Investigating Item Bias in Self-Report Measures, [The University of Florence Lectures on Differential Item Functioning].  Universita degli Studi di Firenze, Florence, Italy.  [For a PDF copy click here]   

  • Zumbo, B. D., & Rupp, A. A. (2004). Responsible Modeling of Measurement Data For Appropriate Inferences: Important Advances in Reliability and Validity Theory. In David Kaplan (Ed.), The SAGE Handbook of Quantitative Methodology for the Social Sciences (pp. 73-92). Thousand Oak s, CA: Sage Press.  [For a PDF copy click here]

  • Slocum, S. L., Gelin, M. N., & Zumbo, B. D. (2004). Statistical and Graphical Modeling to Investigate Differential Item Functioning for Rating Scale and Likert Item Formats. Vancouver: Edgeworth Laboratory, University of British Columbia. [For a PDF copy click here]
  • Rupp, A. A., & Zumbo, B. D. (2003). Which Model is Best? Robustness Properties to Justify Model Choice among Unidimensional IRT Models under Item Parameter Drift. Alberta Journal of Educational Research, 49, 264-276. [For a PDF copy click here]
  • Zumbo, B. D. (1999) A Handbook on the Theory and Methods of Differential Item Functioning (DIF): Logistic Regression Modeling as a Unitary Framework for Binary and Likert-type (Ordinal) Item Scores. Ottawa ON: Directorate of Human Resources Research and Evaluation, Department of National Defense.  [For a PDF copy click here]
      • This provides a link to download a compressed ZIP file with all the SPSS syntax files and the example data sets; click DIF to download the compressed file.

  • Zumbo, B. D. (1997). The Best Teachers I Ever Had Were … Bill Rozeboom and Donald Zimmerman. Teaching Business Ethics, 1, 231-234.  [For a PDF copy click here]