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Article: Identifiability of Latent Class Models with Covariates

TitleIdentifiability of Latent Class Models with Covariates
Authors
Keywordscognitive diagnosis models
identifiability
latent class models
Issue Date2022
Citation
Psychometrika, 2022, v. 87, n. 4, p. 1343-1360 How to Cite?
AbstractLatent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–32, 2004) studied the local identifiability conditions. However, motivated by recent advances in the identifiability of the restricted latent class models, particularly cognitive diagnosis models (CDMs), we show in this work that the conditions in Huang and Bandeen-Roche (Psychometrika 69:5–32, 2004) are only necessary but not sufficient to determine the local identifiability of the model parameters. To address the open identifiability issue for latent class models with covariates, this work establishes conditions to ensure the global identifiability of the model parameters in both strict and generic sense. Moreover, our results extend to the polytomous-response CDMs with covariates, which generalizes the existing identifiability results for CDMs.
Persistent Identifierhttp://hdl.handle.net/10722/344439
ISSN
2023 Impact Factor: 2.9
2023 SCImago Journal Rankings: 2.376

 

DC FieldValueLanguage
dc.contributor.authorOuyang, Jing-
dc.contributor.authorXu, Gongjun-
dc.date.accessioned2024-07-31T03:03:30Z-
dc.date.available2024-07-31T03:03:30Z-
dc.date.issued2022-
dc.identifier.citationPsychometrika, 2022, v. 87, n. 4, p. 1343-1360-
dc.identifier.issn0033-3123-
dc.identifier.urihttp://hdl.handle.net/10722/344439-
dc.description.abstractLatent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–32, 2004) studied the local identifiability conditions. However, motivated by recent advances in the identifiability of the restricted latent class models, particularly cognitive diagnosis models (CDMs), we show in this work that the conditions in Huang and Bandeen-Roche (Psychometrika 69:5–32, 2004) are only necessary but not sufficient to determine the local identifiability of the model parameters. To address the open identifiability issue for latent class models with covariates, this work establishes conditions to ensure the global identifiability of the model parameters in both strict and generic sense. Moreover, our results extend to the polytomous-response CDMs with covariates, which generalizes the existing identifiability results for CDMs.-
dc.languageeng-
dc.relation.ispartofPsychometrika-
dc.subjectcognitive diagnosis models-
dc.subjectidentifiability-
dc.subjectlatent class models-
dc.titleIdentifiability of Latent Class Models with Covariates-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11336-022-09852-y-
dc.identifier.pmid35254608-
dc.identifier.scopuseid_2-s2.0-85125803484-
dc.identifier.volume87-
dc.identifier.issue4-
dc.identifier.spage1343-
dc.identifier.epage1360-
dc.identifier.eissn1860-0980-

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