Statistics Faculty

Steven Culpepper

  • Associate Professor
  • Department of Statistics
  • University of Illinois at Urbana-Champaign
  • 116D Illini Hall
  • 725 S. Wright St.
  • Champaign, IL 61820 USA
  •  
  • (217) 333-2167
  • sculpepp@illinois.edu
  • Website
  • Educational Background

  • PhD, Educational Psychology, University of Minnesota, 2006
  • Research Interests

  • Statistical methods in education and psychology
  • Fairness and bias in educational testing
  • Item response analysis
  • Visualization and statistical computing
  • Selected Publications

    Culpepper, S. A. (In Press). Revisiting the 4-parameter item response model: Bayesian estimation and application, Psychometrika. DOI: 10.1007/s11336-015-9477-6.

    Culpepper, S. A. (2016). An improved correction for range restricted correlations under extreme, monotonic quadratic nonlinearity and heteroscedasticity, Psychometrika, 81, 550-564. DOI: 10.1007/s11336-015-9466-9

    Ye, S., Fellouris, G., Culpepper, S. A., & Douglas, J. (2016). Sequential detection of learning in cognitive diagnosis. British Journal of Mathematical and Statistical Psychology, 69, 139-58.

    Mathieu, J., Aguinis, H., Culpepper, S. A., & Chen, G. (2012). Improving the accuracy of inferences about cross-level interaction tests in random coefficient modeling. Journal of Applied Psychology, 97, 951-966. (Authors contributed equally and order was determined randomly)

    Culpepper, S. A. (2012). Evaluating EIV, OLS, and SEM estimators of group slope differences in the presence of measurement error: The single indicator case. Applied Psychological Measurement, 36, 349-374.

    Culpepper, S. A. (2012). Using the criterion-predictor factor model to compute the probability of detecting prediction bias with ordinary least squares regression. Psychometrika, 77, 561-580.

    Culpepper, S. A. & Aguinis, H. (2011). Using analysis of covariance (ANCOVA) with fallible covariates. Psychological Methods, 16, 166-178.

    Culpepper, S. A. & Aguinis, H. (2011). R is for revolution: A review of a cutting-edge, free, open source statistical package. Organizational Research Methods, 14, 735-740.

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

    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.

    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.