University of Colorado Denver College of Liberal Arts and Sciences

Bio

Dr. Culpepper earned his doctorate from the University of Minnesota in Quantitative Methods and Educational Psychology in 2006. Dr. Culpepper's research focuses on applied statistics in the social sciences with a primary focus on methods that are used in education and psychology. For example, Dr. Culpepper conducts research to understand issues related to fairness in the use of standardized test scores. Recently, Dr. Culpepper's efforts in this area identified that statistical techniques that are most commonly used to assess fairness in selection decisions are biased and can lead researchers and decision-makers to conclude that tests are fair even in situations where tests are biased. In fact, a recent article was covered by the USA Today and The Economist. Dr. Culpepper is currently working on developing new statistical procedures that provide an unbiased assessment of the fairness of standardized test scores.

Dr. Culpepper also conducts collaborative, inter-disciplinary research with colleagues across the social sciences. For example, he is currently working on projects to understand how novel visualizations promote comprehension in the sciences.

Select Publications

Culpepper, S. A. & Aguinis, H. (In Press). "Analysis of covariance (ANCOVA) with fallible covariates." Psychological Methods.

Aguinis, H., De Bruin, G., Cunningham, D., Hall, N. L., Culpepper, S. A., & Gottfredson, R. K. (In Press). "What does not kill you (sometimes) makes you stronger: Productivity fluctuations of journal editors." Academy of Management Learning & Education.

Culpepper, S. A., Basile, C., Ferguson, C. A., Lanning, J. A., & Perkins, M. A. (In Press). "Understanding the transition between high school and college mathematics and science." The Journal of Mathematics and Science: Collaborative Explorations.

Aguinis, H., Culpepper, S. A., & Pierce, C. A. (2010). "Revival of test bias research in preemployment testing." Journal of Applied Psychology, 95(4), 648–680.

Culpepper, S. A. & Aguinis, H. (In Press). "R is for revolution: A review of a cutting-edge, free, open source statistical package." Organizational Research Methods.

Culpepper, S. A. (2010). "Studying individual differences in predictability with gamma regression and nonlinear multilevel models." Multivariate Behavioral Research, 45, 153-185.

Culpepper, S. A. (2009). "A multilevel approach for nonlinear profile analysis of dichotomous data." Multivariate Behavioral Research, 44, 646-667.

Aguinis, H., Pierce, C., & Culpepper, S. A. (2009). "Scale coarseness as a methodological artifact: Correcting correlation coefficients attenuated from using coarse scales." Organizational Research Methods, 12, 623-652.

Culpepper, S. A. & Davenport, E. C. (2009). "Assessing differential prediction of college grades by race/ethnicity with a multilevel model." Journal of Educational Measurement, 46, 220-242.

Rapp, D. N, Culpepper, S. A., Kirkby, K., & Morin, P. (2007). "Fostering students’ comprehension of topographic maps." Journal of Geoscience Education, 55(1), 5-16.

Courses Taught

Math 2830: Introductory Statistics
Math 4387/5387: Regression Analysis, Modeling and Time Series
Math 4830/5830: Applied Statistics
Math 6376: Statistical Computing