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Case-Deletion Diagnostics for Factor Analysis Models With Continuous and Ordinal Categorical Data

Bibliographic Data

ID2330415
AuthorsSik-Yum Lee, Sik‐yum Lee, Liang Xu (0009-0005-0008-0973, Chinese University of Hong Kong)
Year2003
Volume31
Issue3
Pages389-419
Publication date2003-02-01
Open AccessYes
TypeARTICLE
VenueSociological Methods & Research (JOURNAL)
Journal identifiersISSN: 0049-1241 • E-ISSN: 1552-8294
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0049124102239081
OpenAlexW2046269623
LanguageEN
Citations received2
References cited32

This article proposes a method to detect influential observations in a factor analysis model with continuous and ordinal categorical variables. The key ideas are to treat the latent factors as hypothetical missing data and then develop the diagnostic measures on the basis of the conditional expectation of the complete-data log-likelihood function in the EM algorithm. A one-step approximation is proposed to reduce the computational burden. Building blocks for achieving the diagnostic measures are computed via observations generated by the Gibbs sampler. Results from a simulation study and an illustrative real example are presented

Categorical variable · Data mining · Econometrics · Factor (programming language) · Key (lock) · Latent variable · Missing data · Ordinal data · Ordinal optimization · Ordinal regression · Statistics · Artificial Intelligence · Bayesian Methods and Mixture Models · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Statistical Methods and Bayesian Inference

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Citations per year0.1
Citation span2005 - 2023 (19)
Highly citedNo

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