Faculty

Institution

Unit

Venue

Steven Andrew Culpepper

Professor

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Statistics

Steven Andrew Culpepper is currently serving as a College Of Liberal Arts & Sciences Professor at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Steven Andrew Culpepper

University of Illinois Urbana-Champaign

Professor

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statistics statistical methodology statistical models applied statistics statistical inference bayesian analysis model selection education cognitive science latent modeling latent variable models psychology inference educational assessment psychological assessment psychometrics bayesian inference bayesian statistics computational statistics behavioral statistic performance evaluation educational research learning sciences educational psychology bayesian hierarchical modeling machine learning research behavioral research experimental social psychology interaction effects test development exploratory data analysis estimation theory applied cognitive psychology higher education cognitive modeling student assessment cognitive analysis parameter estimation cross-level interaction effects cognitive diagnosis social science research organizational psychology quasi-experiments hidden markov model student success adaptive learning spatial cognition automated assessment differential prediction computer graphics information visualization applied psychology organizational research performance management bias detection selection bias learning problems job performance student outcomes classroom assessment statistical learning theory cognitive variables cognitive diagnosis models stereo visualization multilevel modeling binary attributes random matrix moderator variables cross-level interaction effect statistical power multilevel contingency dina q matrix test bias predictor range restriction test bias research bayesian formulation statistical hypothesis test large-scale testing psychoeducational assessment latent class models psychometric models

Notable Scholarly Works

Notable Federal Grants

Collaborators

Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models. Psychometrika (2025)

Ying LiuSteven Culpepper

educational psychologylearning scienceseducational strategiescausal inferenceeducationlearning analyticslearning theoryintervention studiespositive behavior interventionsadaptive learningeducational researchintervention mechanismstatistics

A Hierarchical Prior for Bayesian Variable Selection With Interactions. Springer proceedings in mathematics & statistics (2024)

Anqi LiSteven Andrew Culpepper

model selectionbayesian inferencebayesian hierarchical modelingstatistical modelsbayesian analysisstatistical methodologybayesian variable selectionstatistical inferenceapplied statisticsbayesian statisticsstatistics

A Restricted Latent Class Model With Polytomous Attributes and Respondent-Level Covariates. arXiv (Cornell University) (2024)

Wayman, Eric AlanCulpepper, Steven AndrewDouglas, JeffBowers, Jesse

psychiatrylatent class modelmultivariate analysismental healthstatistical methodologylatent variable modelspsychiatric researchmultivariate probitpsychopathologydepressionlatent modelingpsychologyparticular datasetmood symptomstatistics

A Sparse Latent Class Model Incorporating Response Times. British Journal of Mathematical and Statistical Psychology (2024)

Siqi HeSteven Andrew CulpepperJeffrey A. Douglas

behavioral researchdifferential psychologystatistical modelspsychological evaluationspersonality assessmentlatent variable modelspsychometricslatent modelingresponse timesfisher temperament inventorypsychologygibbs sampling algorithmsurvey methodologypersonalitybehavioral statisticpsychological assessmentstatistics

Domain Latent Class Models. Bayesian Analysis (2024)

Jesse BowersSteve Culpepper

model selectionbayesian statisticstraditional lcmsstatistical modelsinferencemachine learning researchbayesian analysisstatistical methodologycomputational statisticslatent variable models.traditional lcmsdata sciencelatent modelingstatistical inferencelatent class modelsapplied statisticsknowledge discoverystatistics

Introduction to the Jebs Special Section on Artificial Intelligence in Educational Statistics. Journal of Educational and Behavioral Statistics (2024)

Steven Andrew Culpepper

educational data miningautomated assessmentcomputational intelligencestatistical foundationintelligent computingeducational assessmenteducationlearning analyticsai educationeducational statisticsartificial intelligenceteaching aistatistical hypothesis testeducational researchstatistics

A Sequential Exploratory Diagnostic Model Using a PóLya‐Gamma Data Augmentation Strategy. British Journal of Mathematical and Statistical Psychology (2023)

Auburn JimenezJames Joseph BalamutaSteven Andrew Culpepper

model selectionpredictive analyticsstatistical modelsbayesian analysiscognitive diagnostic modelsstatistical methodologylatent variable modelsgibbs sampling proceduredata sciencelatent modelingstatistical inferenceattribute profilesapplied statisticspsychological assessmentstatistics

Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models. Psychometrika (2023)

Yinghan ChenSteven Andrew CulpepperYuguo Chen

model selectionbayesian inferencebayesian hierarchical modelingstatistical modelsinferencebayesian analysisstatistical methodologylatent variable modelsdata sciencelatent modelingstatistical inferenceunknown numberapplied statisticsbayesian statisticsstatistics

Efforts to Enhance Reproducibility in a Human Performance Research Project. F1000Research (2023)

Jeffrey A. DroccoKyle HallidayBenjamin J. StewartSarah H. SandholtzMichael D. MorrisonJames B. ThissenNicholas A. BeChristopher E. ZwillingRamsey R. WilcoxSteven A. CulpepperAron K. BarbeyCrystal J. Jaing

data publishinghealth informaticsbiostatisticsopen science movementopen sciencereproducible researchstatisticsscientific dataresearch outputsocial science researchinformetricsopen researchcomputational reproducibilityreplicationresearch ethicsresearch policyscientific communicationprivacy considerationstranslational research

Extending Exploratory Diagnostic Classification Models: Inferring the Effect of Covariates. British Journal of Mathematical and Statistical Psychology (2023)

Hulya Duygu YigitSteven Andrew Culpepper

bayesian inferencebayesian hierarchical modelingnovel bayesian formulationstatistical modelsinferencebayesian analysislatent variable modelseducationdata sciencelearning analyticsstatistical inferencelatent modelingdiagnostic modelsbackground knowledgeapplied statisticsbayesian statisticsstatistics

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Steven Andrew Culpepper

Professor

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Statistics

Steven Andrew Culpepper is currently serving as a College Of Liberal Arts & Sciences Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Steven Andrew Culpepper

University of Illinois Urbana-Champaign

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models. Psychometrika (2025)

Ying LiuSteven Culpepper

A Hierarchical Prior for Bayesian Variable Selection With Interactions. Springer proceedings in mathematics & statistics (2024)

Anqi LiSteven Andrew Culpepper

A Restricted Latent Class Model With Polytomous Attributes and Respondent-Level Covariates. arXiv (Cornell University) (2024)

Wayman, Eric AlanCulpepper, Steven AndrewDouglas, JeffBowers, Jesse

A Sparse Latent Class Model Incorporating Response Times. British Journal of Mathematical and Statistical Psychology (2024)

Siqi HeSteven Andrew CulpepperJeffrey A. Douglas

Domain Latent Class Models. Bayesian Analysis (2024)

Jesse BowersSteve Culpepper

Introduction to the Jebs Special Section on Artificial Intelligence in Educational Statistics. Journal of Educational and Behavioral Statistics (2024)

Steven Andrew Culpepper

A Sequential Exploratory Diagnostic Model Using a PóLya‐Gamma Data Augmentation Strategy. British Journal of Mathematical and Statistical Psychology (2023)

Auburn JimenezJames Joseph BalamutaSteven Andrew Culpepper

Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models. Psychometrika (2023)

Yinghan ChenSteven Andrew CulpepperYuguo Chen

Efforts to Enhance Reproducibility in a Human Performance Research Project. F1000Research (2023)

Extending Exploratory Diagnostic Classification Models: Inferring the Effect of Covariates. British Journal of Mathematical and Statistical Psychology (2023)

Hulya Duygu YigitSteven Andrew Culpepper

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