This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. It takes a step-by-step approach in the presentation of each topic, using mathematical derivations where necessary, but primarily emphasizing how the methods involved can be implemented, are used in addressing representative substantive problems than span a number of disciplines, and can be interpreted in words. The book demonstrates the analyses in STATA and SAS. Generalizing the Regression Model provides students with a bridge from the classroom to actual research practice and application. A website for the book at A https://edge.sagepub.com/wheaton1e (coming soon!) includes resources for instructors.
Blair Wheaton & Marisa Young
Generalizing the Regression Model [EPUB ebook]
Techniques for Longitudinal and Contextual Analysis
Generalizing the Regression Model [EPUB ebook]
Techniques for Longitudinal and Contextual Analysis
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Língua Inglês ● Formato EPUB ● Páginas 688 ● ISBN 9781506342108 ● Editora SAGE Publications ● Publicado 2021 ● Carregável 3 vezes ● Moeda EUR ● ID 8218718 ● Proteção contra cópia Adobe DRM
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