email:
sculpepp*
phone: 217. 333.2167
fax:
217.244.7190
office:
116D Illini Hall
725
S. Wright St.
Champaign, IL 61820
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*AT illinois DOT edu
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Assistant Professor of Statistics
Ph.D. in Educational Psychology, University of Minnesota, 2006
Website
Research Interests
- Statistical methods in education and psychology
- Fairness and bias in educational testing
- Item response analysis
- Visualization and statistical computing
Selected Publications
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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)
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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.
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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.
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Culpepper, S. A. & Aguinis, H. (2011).
Using analysis of covariance (ANCOVA) with fallible covariates.
Psychological Methods, 16, 166-178.
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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.
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Aguinis, H., Culpepper, S. A., & Pierce, C. A. (2010).
Revival of test bias research in preemployment testing.
Journal of Applied Psychology, 95, 648-680.
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Culpepper, S. A. (2010).
Studying individual differences in predictability with gamma regression
and nonlinear multilevel models.
Multivariate Behavioral Research, 45, 153-185.
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Culpepper, S. A. (2009).
A multilevel approach for nonlinear profile analysis of dichotomous data.
Multivariate Behavioral Research, 44, 646-667.
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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.
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