Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model.
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Scott Long is Distinguished Professor and Chancellor′s Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.
Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model.
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Paperback. Condición: Good. Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model. Nº de ref. del artículo: 00107189150
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Paperback. Condición: Good. Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model. Nº de ref. del artículo: CIN0803920458G
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