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- Publisher Website: 10.1007/s11336-022-09852-y
- Scopus: eid_2-s2.0-85125803484
- PMID: 35254608
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Article: Identifiability of Latent Class Models with Covariates
Title | Identifiability of Latent Class Models with Covariates |
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Authors | |
Keywords | cognitive diagnosis models identifiability latent class models |
Issue Date | 2022 |
Citation | Psychometrika, 2022, v. 87, n. 4, p. 1343-1360 How to Cite? |
Abstract | Latent 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 Identifier | http://hdl.handle.net/10722/344439 |
ISSN | 2023 Impact Factor: 2.9 2023 SCImago Journal Rankings: 2.376 |
DC Field | Value | Language |
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dc.contributor.author | Ouyang, Jing | - |
dc.contributor.author | Xu, Gongjun | - |
dc.date.accessioned | 2024-07-31T03:03:30Z | - |
dc.date.available | 2024-07-31T03:03:30Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Psychometrika, 2022, v. 87, n. 4, p. 1343-1360 | - |
dc.identifier.issn | 0033-3123 | - |
dc.identifier.uri | http://hdl.handle.net/10722/344439 | - |
dc.description.abstract | Latent 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.language | eng | - |
dc.relation.ispartof | Psychometrika | - |
dc.subject | cognitive diagnosis models | - |
dc.subject | identifiability | - |
dc.subject | latent class models | - |
dc.title | Identifiability of Latent Class Models with Covariates | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11336-022-09852-y | - |
dc.identifier.pmid | 35254608 | - |
dc.identifier.scopus | eid_2-s2.0-85125803484 | - |
dc.identifier.volume | 87 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1343 | - |
dc.identifier.epage | 1360 | - |
dc.identifier.eissn | 1860-0980 | - |