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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O autorze
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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Język Angielski ● Format PDF ● Strony 88 ● ISBN 9781452214344 ● Rozmiar pliku 5.1 MB ● Wydawca SAGE Publications ● Miasto Thousand Oaks ● Kraj US ● Opublikowany 1983 ● Ydanie 1 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 5351059 ● Ochrona przed kopiowaniem Adobe DRM
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