Using response times and response accuracy to measure fluency within cognitive diagnosis models

DOI10.1007/s11336-020-09717-2zbMath1458.62281OpenAlexW3080188519WikidataQ98571555 ScholiaQ98571555MaRDI QIDQ2220533

Shiyu Wang, Yinghan Chen

Publication date: 25 January 2021

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-020-09717-2

zbMATH Keywords

response timesdiagnostic classification modelfluency

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to psychology (62P15)

Related Items (1)

Diagnostic classification analysis of problem-solving competence using process data: an item expansion method

Cites Work

• The reduced RUM as a logit model: parameterization and constraints
• Speed-accuracy response models: scoring rules based on response time and accuracy
• A generalized speed-accuracy response model for dichotomous items
• Inference from iterative simulation using multiple sequences
• Higher-order latent trait models for cognitive diagnosis
• A hierarchical framework for modeling speed and accuracy on test items
• Spontaneous and imposed speed of cognitive test responses
• Response moderation models for conditional dependence between response time and response accuracy
• Cognitive diagnosis modelling incorporating item response times

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