Longitudinal data: different approaches in the context of item-response theory models

DOI10.1080/02664763.2012.700451OpenAlexW2077530120MaRDI QIDQ5127069

Silvia Bacci

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.700451

zbMATH Keywords

latent variablemultilevel modelRasch modelmultidimensional modelhealth-related quality of life

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Does education protect families' well-being in times of crisis? Measurement issues and empirical findings from IT-SILC data

Uses Software

• MLwiN
• eRm
• PROC NLMIXED
• glimmix
• TESTFACT

Cites Work

• A composite likelihood inference in latent variable models for ordinal longitudinal responses
• Item response theory for longitudinal data: population parameter estimation
• Pairwise likelihood for the longitudinal mixed Rasch model
• Estimating latent correlations between repeated testings
• On the existence and uniqueness of maximum-likelihood estimates in the Rasch model
• A multidimensional latent trait model for measuring learning and change
• A generalized Rasch model for manifest predictors
• Estimating the dimension of a model
• On the existence and uniqueness of JML estimates for the partial credit model
• Three centuries of categorical data analysis: Log-linear models and maximum likelihood estima\-tion
• Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models
• Bayesian estimation of a multilevel IRT model using Gibbs sampling
• MCMC estimation and some model-fit analysis of multidimensional IRT models
• A new look at the statistical model identification
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