Kimberly Colvin

Kimberly F. Colvin

Psychometric Methods

The World Within Reach
Kimberly F. Colvin, Ed.D.
Assistant Professor
 

School of Education
Department: Educational and Counseling Psychology

Division of Educational Psychology and Methodology
Address:
ED 244
Phone:
518-442-3077

 

Introduction

Dr. Colvin joined UAlbany’s Educational Psychology and Methodology faculty in 2014. She received her doctorate in psychometrics from the University of Massachusetts Amherst and completed a post-doctoral research fellowship at the Massachusetts Institute of Technology (MIT). She holds a bachelor’s and a master’s degree in statistics and a master’s in mathematics curriculum and instruction. For ten years she was a high school math teacher in central New York. Dr. Colvin's research focuses on computer-based assessments as well as the use of item response theory in the development and analysis of educational and psychological instruments.

Additional Information

Courses

EPSY 640 – Educational & Psychological Measurement (Fall 2014, Fall 2015, Fall 2016)

EPSY 687 – Item Response Theory (Fall 2015)

EPSY 751 – Multivariate Methods for Applied Researchers (Spring 2015, Spring 2016)

EPSY 441 - Social Issues in Testing (Spring 2016)

Publications

Colvin, K. F., & Keller, L. A. (in press). Markov Chain Monte Carlo Item Response Theory Estimation. In Wiley StatsRef-Statistics Reference Online (WSR), John Wiley & Sons.

Keller, L. A., Keller, R., Cook, R., & Colvin, K. F. (2016). Impact of accumulated error on item response theory pre-equating with mixed format tests. Applied Measurement in Education, 29(1), 65-82.

Keller, L. A., Colvin, K. F. & Garcia, A. (2016). Growth: Measurement, meaning, and misuse. In C.S. Wells & M. Faulkner-Bond (Eds.), Educational Measurement: From Foundations to Future (pp. 318-334). New York, NY: Guilford Press.

Mariani, M., Villares, E., Sink, C., Colvin, K. F., & Kuba, S. P. (in press). Confirming the structural validity of the [Student] My Class Inventory – Short Form Revised. Professional School Counseling.

Rayyan, S., Fredericks, C., Colvin, K. F., Liu, A.*, Teodorescu, R., Barrantes, A., Pawl, A., Seaton, D. T., & Pritchard, D. E. (2016). A MOOC based on blended pedagogy. Journal of Computer Assisted Learning, doi: 10.1111/jcal.12126.

Villares, E., Mariani, M., Sink, C., & Colvin, K. F. (in press). Multilevel confirmatory factor analysis of the Teacher My Class Inventory – Short Form. Measurement and Evaluation in Counseling and Development.

Balint, T. A., Teodorescu, R., Colvin, K. F., Choi, Y-J., & Pritchard, D. E. (2015). Comparing measures of student performance in hybrid and MOOC physics courses. European Journal of Physics Education 6(3), 32-43.

Colvin, K. F., & Keller, L. A. (2015). Bias in testing: What does it mean? In S. Thompson (Ed.), Encyclopedia of Diversity and Social Justice (pp. 715-717). Lanham, MD: Rowman & Littlefield Publishers.

Colvin, K. F., Champaign, J., Liu, A.*, Zhou, Q., Fredericks, C., & Pritchard, D. E. (2014). Learning in an introductory physics MOOC: All cohorts learn equally, including an on-campus class. The International Review of Research in Open and Distance Learning IRRODL 15, 4.

Keller, L. A., & Colvin, K. F. (2014). Review of the book The Rise of Data in Education Systems: Collection, Visualization, and Use edited by Martin Lawn. Comparative Education Review, 58, 549-551.

Villares, E., Colvin, K. F., Carey, J., Webb, L., Brigman, G., & Harrington, K. (2014). Convergent and divergent validity of the Student Engagement in School Success Skills Survey. The Professional Counselor, 4(5), 541-552.

Colvin, K. F. (2013). Review of the book Doing Bayesian data analysis: A tutorial with R and BUGS, by J. K. Kruschke. Journal of Educational Measurement, 50, 469-471.