Synopsis
Social scientists interested in the systematic, empirical investigation of social change will find Categorical Longitudinal Data an ideal tool for analyzing social survey data. Now available in paperback, it provides an excellent summary of the log-linear models with latent variables and also covers the latest log-linear models which have been developed in the last decade. The problems which may occur with statistical analysis of longitudinal data are covered, as are the solutions, with a number of real world examples included.
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Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis
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Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis
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Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis
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Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis
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Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis
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Sage Publications, Newbury Park, CA, 1990
ISBN 10: 0803929579
ISBN 13: 9780803929579
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Seller: Dorley House Books, Inc., Hagerstown, MD, U.S.A.
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Hardcover. Condition: Near Fine. tables, diagrams, etc (illustrator). 1st Edition. glossy blue pictorial c w/white titles; 398 clean, unmarked pages/ summmary/references/ indexes. is an advanced statistical framework used primarily in the social sciences to track and model changes in non-numerical, categorical variables over time. It uses log-linear modeling to dissect social survey data into three main dynamics: panel changes (same individuals over time), population trends (aggregate shifts), and cohort effects. Seller Inventory # 1254264