Jeff Hoover
- Psychometrician
Contact Info
Personal Links
Biography —
Jeff Hoover, PhD, specializes in research, evaluation, measurement, and statistics. His research interests include diagnostic classification models, machine learning, artificial intelligence, and process data, with a focus on the responsible integration of cutting-edge technological advancements into educational assessment.
Hoover is a Senior Psychometrician for the Dynamic Learning Maps® Alternate Assessment System, which administers statewide alternate assessments to students with the most significant cognitive disabilities. His work entails research studies that support the delivery of operational assessments, including the application and evaluation of diagnostic classification models.
Hoover earned his PhD in Educational Psychology from the University of Kansas, specializing in research, evaluation, measurement, and statistics. He has co-authored more than 50 journal articles, technical reports, evaluation reports, and conference presentations. He is also the author of multiple R packages that support the operational implementation and evaluation of diagnostic classification models.
Education —
Selected Publications —
Publications
Thompson, W. J., Nash, B., Clark, A. K., & Hoover, J. C. (2023). Using Simulated Retests to Estimate the Reliability of Diagnostic Assessment Systems. Journal of Educational Measurement, xx(xx). doi: 10.1111/jedm.12359
Hoover, J. C. (2022). Neural Networks. In B. B. Frey (Ed.) The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation (2nd ed., Vol. 1, pp. 1055 - 1057). Thousand Oaks, CA: SAGE Publications, Inc.
Hoover, J. C. (2022). Machine Learning. In B. B. Frey (Ed.) The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation (2nd ed., Vol. 1, pp. 842 - 847). Thousand Oaks, CA: SAGE Publications, Inc.
Hoover, J. C. (2022). Adaptive Designs in Clinical Trials. In B. B. Frey (Ed.) The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation (2nd ed., Vol. 1, pp. 11 - 12). Thousand Oaks, CA: SAGE Publications, Inc.
Hoover, J. C. (2022). Bayesian Adaptive Randomization Design. In B. B. Frey (Ed.) The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation (2nd ed., Vol. 1, pp. 89 - 92). Thousand Oaks, CA: SAGE Publications, Inc.
Technical Reports
Winters, P., Karvonen, M., D’Brot, J., Hoover, J. C., & Warren, S. H. (2022). State Accountability Systems: Measuring & Reporting Academic Growth for Students with Significant Cognitive Disabilities. The Council of Chief State School Officers.
Thompson, W. J., & Hoover, J. C. (2021). Using Propensity Scores to Evaluate Changes in Cross-Year Performance Distributions (pdf) (Technical Report No. 21-01). University of Kansas, Accessible Teaching, Learning, and Assessment Systems.
R Packages
Hoover, J. C., & Thompson, W. J. (2023). dcm2. R package version 1.0.2.
Hoover, J. C., & Thompson, W. J. (2023). tdcmStan. R package version 2.0.0.
Selected Presentations —
Hoover, J. C., Thompson, W. J., & Frey, B. B. (2023, April). Using machine learning to identify causes of differential item functioning in log-linear cognitive diagnosis models. Paper presented at the National Council on Measurement in Education Annual Meeting, Chicago, IL.
Hoover, J. C., & Thompson, W. J. (2023, April). Evaluating the performance of person-fit detection methods in diagnostic classification models. Paper presented at the National Council on Measurement in Education Annual Meeting, Chicago, IL.
Hoover, J. C., & Thompson, W. J. (2022, April). Modifying the M2 statistic to handle missing data. Paper presented at the National Council on Measurement in Education Annual Meeting, San Diego, CA.
Hoover, J. C., Kobrin, J. L., Thompson, W. J., & Wang, W. (2022, April). Development and evaluation of a composite item-fit statistic for diagnostic classification models. Paper presented at the National Council on Measurement in Education Annual Meeting, San Diego, CA.
Hoover, J. C., Thompson, W. J., Nash, B., & Kobrin, J. L. (2021, June). The I-SMART project: Empirical map validation. Paper presented at the National Council on Measurement in Education Annual Meeting, Baltimore, MD. (Virtual conference)
Hoover, J. C., Thompson, W. J., Clark, A. K., & Nash, B. (2020, September). Diagnostic assessment: DIF detection from binary and aggregate mastery classifications. Paper presented at the National Council on Measurement in Education Annual Meeting, San Francisco, CA. (Conference cancelled)
Awards & Honors —
- University of Kansas Chancellors Fellowship (2018–2022)
Memberships —
Professional Affiliations
- American Educational Research Association
- National Council on Measurement in Education
- Supporter of the Cochrane Collaboration
Reviewer
- Frontiers in Psychology: Personality and Social Psychology
- American Educational Research Association annual meeting
- National Council on Measurement in Education annual meeting