[below are links to my hard to reach papers; each has an option to download a copy]
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 Remarks on Computational Psychometrics - Models, Methods, Test Validity, & Consequences or right-click and save a copy of the PDF]
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 Zumbo (2009) or right-click and save a copy of the PDF]
- 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 Zumbo_Univ_Firenze or right-click and save a copy of the PDF]
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 copy go to the following website click Stone_Zumbo_2016 for PDF; or right-click and save a copy of the PDF]
Zimmerman, D. W., & Zumbo, B. D. (2001). The Geometry of Probability, Statistics, and Test Theory.
International Journal of Testing, 1, 283-303.
[For a reprint please click Zimmerman_Zumbo_2001].
Zimmerman, D. W., Williams, R. H., Zumbo, B. D., & Ross, D. (2005). Louis Guttman’s Contributions to Classical Test Theory. International Journal of Testing, 5, 81-95.
[For a reprint please click Louis Guttman Contributions].
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 reprint, PDF, please click Zumbo_Forer_2011.
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 reprint, PDF, please click Zumbo Rupp 2004]
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 reprint, PDF, click Rupp Zumbo 2003 AJER]
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 reprint, PDF, click Slocum_Gelin_Zumbo
Zumbo’s 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. 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.
This paper was an invited essay on the characteristics of good teaching.
[For a reprint please click Zumbo_1997].