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Steven Andrew Culpepper

20072019
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Personal profile

Education

  • PhD, Educational Psychology, University of Minnesota, 2006
  • BS, Economics, Bowling Green State University, 2001

Research Interests

  • Psychometric models
  • Latent class models
  • Large-scale testing and assessment
  • Statistical computing

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Research Medicine & Life Sciences
Students Medicine & Life Sciences
Least-Squares Analysis Medicine & Life Sciences
Psychometrics Medicine & Life Sciences
Research Personnel Medicine & Life Sciences
Sample Size Medicine & Life Sciences
Learning Medicine & Life Sciences
Q-matrix Mathematics

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Research Output 2007 2019

An Exploratory Diagnostic Model for Ordinal Responses with Binary Attributes: Identifiability and Estimation

Culpepper, S. A., Dec 1 2019, In : Psychometrika. 84, 4, p. 921-940 20 p.

Research output: Contribution to journal › Article

Model Diagnostics
Identifiability
Attribute
Research Personnel
Binary

Estimating the Cognitive Diagnosis Q Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset

Culpepper, S. A., Jun 15 2019, In : Psychometrika. 84, 2, p. 333-357 25 p.

Research output: Contribution to journal › Article

Q-matrix
Subtraction
Attribute
Model Diagnostics
Psychometrics

High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance

Culpepper, S. A., Aguinis, H., Kern, J. L. & Millsap, R., Mar 15 2019, In : Psychometrika. 84, 1, p. 285-309 25 p.

Research output: Contribution to journal › Article

Mathematics
Latent Variables
Invariance
Testing
Prediction

Preface

Wiberg, M., Culpepper, S. A., Janssen, R., González, J. & Molenaar, D., Jan 1 2019, In : Springer Proceedings in Mathematics and Statistics. 265, p. v

Research output: Contribution to journal › Editorial

A Hidden Markov Model for Learning Trajectories in Cognitive Diagnosis With Application to Spatial Rotation Skills

Chen, Y., Culpepper, S. A., Wang, S. & Douglas, J. A., Jan 1 2018, In : Applied Psychological Measurement. 42, 1, p. 5-23 19 p.

Research output: Contribution to journal › Article

Learning
learning
Aptitude
Psychometrics
psychometrics