Latent variable model: Difference between revisions

Revision as of 21:06, 17 October 2022

Revision as of 06:28, 1 November 2022

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A '''latent variable model''' is a [[statistical model]] that relates a set of [[observable variable]]s (so-also called ''manifest variables'' or ''indicators'')<ref>{{Cite web |title=Latent Variable Models |url=https://www.statistics.com/glossary/latent-variable-models/ |url-status=live |archive-url=http://web.archive.org/web/20221101060559/https://www.statistics.com/glossary/latent-variable-models/ |archive-date=2022-11-01 |access-date=2022-11-01 |website=Statistics.com: Data Science, Analytics & Statistics Courses |language=en-US}}</ref> to a set of [[latent variable]]s.

It is assumed that the responses on the indicators or manifest variables are the result of an individual's position on the latent variable(s), and that the manifest variables have nothing in common after controlling for the latent variable ([[local independence]]).