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.
About the author
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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Language English ● Format PDF ● Pages 88 ● ISBN 9781452214344 ● File size 5.1 MB ● Publisher SAGE Publications ● City Thousand Oaks ● Country US ● Published 1983 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 5351059 ● Copy protection Adobe DRM
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