A two-stage approach to differentiating normal and aberrant behavior in computer based testing

DOI10.1007/s11336-016-9525-xzbMath1402.62329OpenAlexW2541518829WikidataQ39233614 ScholiaQ39233614MaRDI QIDQ1643446

Chun Wang, Zhuoran Shang, Gongjun Xu

Publication date: 19 June 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-016-9525-x

zbMATH Keywords

MCMChierarchical mixture modelresponse timesBayesian residual index

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (8)

Modeling conditional dependence of response accuracy and response time with the diffusion item response theory model ⋮ Detection of two-way outliers in multivariate data and application to cheating detection in educational tests ⋮ A latent space diffusion item response theory model to explore conditional dependence between responses and response times ⋮ A modeling framework to examine psychological processes underlying ordinal responses and response times of psychometric data ⋮ A new person‐fit method based on machine learning in CDM in education ⋮ A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing ⋮ Robust estimation of the hierarchical model for responses and response times ⋮ Response mixture modeling: accounting for heterogeneity in item characteristics across response times

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