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Analyzing Repeated Surveys (Quantitative Applications in the Social Sciences) - Brossura

Libro 87 di 194: Quantitative Applications in the Social Sciences

Firebaugh, Glenn

 
9780803973985: Analyzing Repeated Surveys (Quantitative Applications in the Social Sciences)

Sinossi

Repeated surveys--a technique for asking the same questions to different samples of people--presents researchers with an opportunity to analyze changes in society as a whole. Analyzing Repeated Surveys begins with a thoughtful discussion of the classic issue of how to separate cohort, period, and age effects. It then covers methods for modeling aggregate trends, two methods for estimating cohort replacement′s contribution to aggregate trends, a decomposition model for clarifying how microchange contributes to aggregate change, and simple models that are useful for the assessment of changing individual-level effects. Designed for readers with a fundamental background in regression analysis, this book uses illustrative examples and clear prose to provide readers with simple but effective tools for exploiting the repetition in repeated surveys.


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Informazioni sull'autore

Glenn Firebaugh is the Roy C. Buck Professor of Sociology and Demography at the Pennsylvania State University, and former Editor of the American Sociological Review. He is the author of The New Geography of Global Income Inequality (Harvard, 2003) and Seven Rules for Social Research (Princeton, 2008). Currently, he is investigating racial inequality in neighborhood conditions as well as the final inequality in age at death.

Dalla quarta di copertina

Repeated surveys - a technique for asking the same questions to different samples of people - allows researchers the opportunity to analyze changes in society as a whole. This book begins with a discussion of the classic issue of how to separate cohort, period and age effects. It then covers: methods for modelling aggregate trends; two methods for estimating cohort replacement's contribution to aggregate trends; a decomposition model for clarifying how microchange contributes to aggregate change; and simple models that are useful for the assessment of changing individual-level effects.

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