Identification of the 1PL model with guessing parameter: parametric and semi-parametric results

DOI10.1007/s11336-013-9322-8zbMath1284.62743OpenAlexW1995585451WikidataQ51238810 ScholiaQ51238810MaRDI QIDQ358516

Ernesto San Martín, Jean-Marie Rolin, Luis Mauricio Castro

Publication date: 9 August 2013

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-013-9322-8

zbMATH Keywords

Hilbert spacefixed effectsrandom effectsGibbs sampler2PL model3PL modelidentified parameterlocation-scale distributionsmeasurable separabilityparameters of interest

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (11)

Identifiability of diagnostic classification models ⋮ Linking item response model parameters ⋮ Identifiability of structural characteristics: how relevant is it for the Bayesian approach? ⋮ Identifiability of Bifactor Models ⋮ Robust joint non-linear mixed-effects models and diagnostics for censored HIV viral loads with CD4 measurement error ⋮ Unifying differential item functioning in factor analysis for categorical data under a discretization of a normal variant ⋮ A restricted four-parameter IRT model: the dyad four-parameter normal ogive (Dyad-4PNO) model ⋮ Are we underestimating food insecurity? Partial identification with a Bayesian 4-parameter IRT model ⋮ Bootstrap-calibrated interval estimates for latent variable scores in item response theory ⋮ On the unidentifiability of the fixed-effects 3PL model ⋮ The use of an identifiability-based strategy for the interpretation of parameters in the 1PL-G and Rasch models

Uses Software

• R
• ltm

Cites Work

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