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Latent Structure Models with Direct Effects between Indicators: Local Dependence Models

HAGENAARS, JACQUES A.·1988·Sociological Methods & Research

Abstract

A basic assumption of latent structure models is that of local independence: given the score on the latent variable, the scores on the manifest variables are independent of each other. This basic assumption is violated when test-retest effects, response consistency effects, correlated response errors, and so forth are present. However, it is possible to reformulate the latent class model in such a way that these direct relations between the indicators (manifest variables) can be accounted for. The reformulation proposed here, takes place within the framework of log-linear modeling.

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Metadata

Authors
HAGENAARS, J. A.
Venue
Sociological Methods & Research
Published
1988-02
Volume
16
Issue
3
Pages
379-405
ISSN
  • 0049-1241 (ISSN-L)
  • 1552-8294
OpenAlex
W2053325424
Cited by
219
References
0
FWCI
3.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Latent Structure Models with Direct Effects between Indicators: Local Dependence Models. https://app.cochat.ai/papers/10.1177/0049124188016003002
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HAGENAARS, J. A. (1988). Latent Structure Models with Direct Effects between Indicators: Local Dependence Models. Sociological Methods & Research. https://doi.org/10.1177/0049124188016003002

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.