A response-time-based latent response mixture model for identifying and modeling careless and insufficient effort responding in survey data

DOI10.1007/s11336-021-09817-7zbMath1490.62412OpenAlexW3216751839WikidataQ114222780 ScholiaQ114222780MaRDI QIDQ2152414

Lale Khorramdel, Esther Ulitzsch, Ulf Kroehne, Matthias von Davier, Steffi Pohl

Publication date: 8 July 2022

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-021-09817-7

zbMATH Keywords

item response theorydata screeningresponse timesmixture modelingcareless responses

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Applications of statistics to psychology (62P15)

Related Items (2)

An explanatory mixture <scp>IRT</scp> model for careless and insufficient effort responding in self‐report measures ⋮ Dynamic response strategies: accounting for response process heterogeneity in irtree decision nodes

Uses Software

• R
• Stan
• RStan
• rstan
• GitHub
• careless

Cites Work

• Unnamed Item
• Unnamed Item
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• Inference from iterative simulation using multiple sequences
• A hierarchical framework for modeling speed and accuracy on test items
• A mixture hierarchical model for response times and response accuracy
• Response style analysis with threshold and multi‐process IRT models: A review and tutorial
• A semi‐parametric within‐subject mixture approach to the analyses of responses and response times
• Advances in modelling response styles and related phenomena
• Clustering preference data in the presence of response‐style bias
• Using multidimensional item response theory to evaluate how response styles impact measurement

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