Demonstrates how to use confirmatory factor analysis--a model that allows researchers to specify the relationships among observed and latent variables on the basis of substantive considerations rather than mathematical convenience.
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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.
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Paperback. Condición: Very Good. Demonstrates how to use confirmatory factor analysis--a model that allows researchers to specify the relationships among observed and latent variables on the basis of substantive considerations rather than mathematical convenience. Nº de ref. del artículo: 00099356123
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Librería: Better World Books: West, Reno, NV, Estados Unidos de America
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Paperback. Condición: Very Good. Demonstrates how to use confirmatory factor analysis--a model that allows researchers to specify the relationships among observed and latent variables on the basis of substantive considerations rather than mathematical convenience. Nº de ref. del artículo: CIN080392044XVG
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Librería: Wonder Book, Frederick, MD, Estados Unidos de America
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Librería: Larry W Price Books, Portland, OR, Estados Unidos de America
Paperback. Condición: Fine. 88 pp., Illus, Grn Illus Paperback, Fine, 2nd Prntng. Nº de ref. del artículo: 069355
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