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Steven Andrew Culpepper
Steven Andrew Culpepper
Professor, Department of Statistics, University of Illinois at Urbana-Champaign
Verified email at illinois.edu
Title
Cited by
Cited by
Year
Best-practice recommendations for estimating cross-level interaction effects using multilevel modeling
H Aguinis, RK Gottfredson, SA Culpepper
Journal of Management 39 (6), 1490-1528, 2013
10882013
Understanding and estimating the power to detect cross-level interaction effects in multilevel modeling.
JE Mathieu, H Aguinis, SA Culpepper, G Chen
Journal of applied psychology 97 (5), 951, 2012
5412012
Revival of test bias research in preemployment testing.
H Aguinis, SA Culpepper, CA Pierce
Journal of Applied Psychology 95 (4), 648, 2010
1432010
Scale coarseness as a methodological artifact: Correcting correlation coefficients attenuated from using coarse scales
H Aguinis, CA Pierce, SA Culpepper
Organizational Research Methods 12 (4), 623-652, 2009
1232009
Young women’s dynamic family size preferences in the context of transitioning fertility
S Yeatman, C Sennott, S Culpepper
Demography 50 (5), 1715-1737, 2013
1002013
Bayesian estimation of the DINA Q matrix
Y Chen, SA Culpepper, Y Chen, J Douglas
Psychometrika 83, 89-108, 2018
862018
Bayesian estimation of the DINA model with Gibbs sampling
SA Culpepper
Journal of Educational and Behavioral Statistics 40 (5), 454-476, 2015
852015
Fostering students' comprehension of topographic maps
DN Rapp, SA Culpepper, K Kirkby, P Morin
Journal of Geoscience Education 55 (1), 5-16, 2007
852007
Tracking skill acquisition with cognitive diagnosis models: A higher-order, hidden Markov model with covariates
S Wang, Y Yang, SA Culpepper, JA Douglas
Journal of Educational and Behavioral Statistics 43 (1), 57-87, 2018
812018
Understanding profiles of preservice teachers with different levels of commitment to teaching in urban schools
A Aragon, SA Culpepper, MW McKee, M Perkins
Urban Education 49 (5), 543-573, 2014
652014
An expanded decision-making procedure for examining cross-level interaction effects with multilevel modeling
H Aguinis, SA Culpepper
Organizational Research Methods 18 (2), 155-176, 2015
622015
R is for revolution: A cutting-edge, free, open source statistical package
SA Culpepper, H Aguinis
Organizational research methods 14 (4), 735-740, 2011
622011
Differential prediction generalization in college admissions testing.
H Aguinis, SA Culpepper, CA Pierce
Journal of Educational Psychology 108 (7), 1045, 2016
612016
A hidden Markov model for learning trajectories in cognitive diagnosis with application to spatial rotation skills
Y Chen, SA Culpepper, S Wang, J Douglas
Applied psychological measurement 42 (1), 5-23, 2018
562018
Using analysis of covariance (ANCOVA) with fallible covariates.
SA Culpepper, H Aguinis
Psychological Methods 16 (2), 166, 2011
562011
Assessing differential prediction of college grades by race/ethnicity with a multilevel model
SA Culpepper, EC Davenport
Journal of Educational Measurement 46 (2), 220-242, 2009
552009
The reliability and precision of total scores and IRT estimates as a function of polytomous IRT parameters and latent trait distribution
SA Culpepper
Applied Psychological Measurement 37 (3), 201-225, 2013
482013
Revisiting the 4-parameter item response model: Bayesian estimation and application
SA Culpepper
Psychometrika 81 (4), 1142-1163, 2016
452016
Estimating the cognitive diagnosis Q matrix with expert knowledge: Application to the fraction-subtraction dataset
SA Culpepper
Psychometrika 84 (2), 333-357, 2019
392019
Using response times to assess learning progress: A joint model for responses and response times
S Wang, S Zhang, J Douglas, S Culpepper
Measurement: Interdisciplinary Research and Perspectives 16 (1), 45-58, 2018
362018
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