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Latent Structure Models with Direct Effects Between Indicators--Local Dependence Models

文献名称 Latent Structure Models with Direct Effects Between Indicators--Local Dependence Models
文献作者 JACQUES A. HAGENAARS
作者所在单位 Tilburg University
文献分类 已发表文献
学科一级分类 统计
学科二级分类 统计学
文献摘要 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 o flog-linear
modeling.
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the latent level." Social Sci. Research 15: 241-255.
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met diskrete latente variabelen: een variant op de LISREL-benadering." (Causal
models with discrete latent variables: a modified LISREL approach) Methoden en
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关键字 Latent Structure Models ; Direct Effects; Indicators;Local Dependence Models
发表所在刊物(或来源) SOCIOLOGICAL METHODS & RESEARCH, Vol. 16 No. 3,379-405 1988 Sage Publications, Inc.
发表时间 1988
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