Fr. 73.20

Analyzing Repeated Surveys

English · Paperback / Softback

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Informationen zum Autor 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. Klappentext 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. Zusammenfassung Repeated surveys allow researchers the opportunity to analyze changes in society as a whole. This book includes: a discussion of the classic issue of how to separate cohort, period and age effects; methods for modelling aggregate trends; and methods for estimating cohort replacement's contribution to aggregate trends. Inhaltsverzeichnis Introduction Distinguishing Age, Period, and Cohort Effects Aggregate Trends Decomposing Aggregate Trends A General Model for Decomposing Aggregate Change Detecting Change in Individual-Level Relationships Summary Analyzing Social Change

Product details

Authors Glenn Firebaugh
Publisher Sage Publications Ltd
 
Languages English
Product format Paperback / Softback
Released 08.04.1997
 
EAN 9780803973985
ISBN 978-0-8039-7398-5
No. of pages 80
Dimensions 142 mm x 217 mm x 7 mm
Series Quantitative Applications in t
Quantitative Applications in the Social Sciences
Quantitative Applications in t
Subjects Natural sciences, medicine, IT, technology
Social sciences, law, business > Social sciences (general)

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