Matching IRT models to patient-reported outcomes constructs: the graded response and log-logistic models for scaling depression

DOI10.1007/s11336-021-09802-0zbMath1477.62349OpenAlexW3197805355MaRDI QIDQ2066634

Anne S. Hubbard, Emily F. Wong, Mark G. Haviland, Steven P. Reise, Han Du

Publication date: 14 January 2022

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-021-09802-0

zbMATH Keywords

graded response modelIRT model assumptionslog-logistic model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to psychology (62P15)

Related Items

Guest editors' introduction to the invited special section

Uses Software

• mirt
• catR
• mstR

Cites Work

• Unnamed Item
• The heteroscedastic graded response model with a skewed latent trait: testing statistical and substantive hypotheses related to skewed item category functions
• Estimating latent distributions
• Measurement of learning and mental abilities
• On the relationship between item response theory and factor analysis of discretized variables
• Item response theory with estimation of the latent population distribution using spline-based densities