Robust estimation of the hierarchical model for responses and response times

DOI10.1111/bmsp.12143zbMath1409.62243OpenAlexW2884654610WikidataQ90562668 ScholiaQ90562668MaRDI QIDQ4627518

Jorg-Tobias Kuhn, Anett Wolgast, Jochen Ranger

Publication date: 11 March 2019

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/bmsp.12143

zbMATH Keywords

response timehierarchical modelrobust estimationpsychological testrapid guessing

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric robustness (62G35) Applications of statistics to psychology (62P15)

Uses Software

• R
• robust
• lavaan

Cites Work

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• Bayesian procedures for identifying aberrant response-time patterns in adaptive testing
• Asymptotic expansion of the minimum covariance determinant estimators
• Response mixture modeling: accounting for heterogeneity in item characteristics across response times
• Propagation of outliers in multivariate data
• Asymptotics for the minimum covariance determinant estimator
• A two-stage approach to differentiating normal and aberrant behavior in computer based testing
• Robust factor analysis.
• A hierarchical framework for modeling speed and accuracy on test items
• Bayesian IRT guessing models for partial guessing behaviors
• A survey of robust statistics
• Asymptotic Theory of Overparameterized Structural Models
• Specification Tests in Econometrics
• A generalized linear factor model approach to the hierarchical framework for responses and response times
• A mixture hierarchical model for response times and response accuracy
• A semi‐parametric within‐subject mixture approach to the analyses of responses and response times
• Item Response Theory
• Asymptotically distribution‐free methods for the analysis of covariance structures
• Robust Analysis of Generalized Linear Mixed Models
• Bounded-Influence Robust Estimation in Generalized Linear Latent Variable Models
• Maximum Likelihood Estimation of Misspecified Models

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