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.
Sobre el autor
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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Idioma Inglés ● Formato PDF ● Páginas 88 ● ISBN 9781452214344 ● Tamaño de archivo 5.1 MB ● Editorial SAGE Publications ● Ciudad Thousand Oaks ● País US ● Publicado 1983 ● Edición 1 ● Descargable 24 meses ● Divisa EUR ● ID 5351059 ● Protección de copia Adobe DRM
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