期刊
JOURNAL OF APPLIED PSYCHOLOGY
卷 85, 期 1, 页码 125-131出版社
AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/0021-9010.85.1.125
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资金
- NIDA NIH HHS [DA00017, DA01070] Funding Source: Medline
Whereas measures of explained variance in a regression and an equation of a recursive structural equation model can be simply summarized by a standard R-2 measure, this is not possible in nonrecursive models in which there are reciprocal interdependencies among variables. This article provides a general approach to defining variance explained in latent dependent variables of nonrecursive linear structural equation models. A new method of its estimation, easily implemented in EQS or LISREL and available in EQS 6, is described and illustrated.
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