By Glenn Firebaugh
Repeated surveys -- a strategy for asking an identical inquiries to varied samples of individuals -- permits researchers the chance to research alterations in society as a complete. This e-book starts with a dialogue of the vintage factor of the way to split cohort, interval, and age results. It then covers equipment for modeling combination tendencies; tools for estimating cohort replacement's contribution to combination traits, a decomposition version for clarifying how microchange contributes to combination switch, and easy types which are necessary for the review of fixing individual-level results.
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Extra info for Analyzing Repeated Surveys (Quantitative Applications in the Social Sciences)
Berry, Political Science,Florida State University Kenneth A. Bollen, Sociology, University of North Carolina, Chapel Hill Linda B. Bourque, Public Health, University of California, Los Angeles Jacques A. Hagenaars, Social Sciences, Tilburg University Sally Jackson, Communications, University of Arizona Richard M. Jaeger, Education, University of North Carolina, Greensboro Gary King, Department of Government, Harvard University Roger E. Kirk, Psychology, Baylor University Helena Chmura Kraemer, Psychiatry and Behavioral Sciences, Stanford University Peter Marsden, Sociology, Harvard University Helmut Norpoth, Political Science, SUNY, Stony Brook Frank L.
Suppose we observe that church attendance has risen among a group of adults we have studied since they were adolescents. How are we to account for that increase? A cohort analyst will immediately think in terms of two types of processes. The increase could be due to general events or processes associated with the historical era; perhaps there is a general revival of interest in religion during the era studied (period effect). Alternatively, the increase might result from more specific processes related to aging or life-cycle status (age effect); as young adults settle down in a community, marry, have children, and so on, they are more likely to attend churchjust as their parents did, and their grandparents before that.
These include the National Election Study (NES), which has usable biennial data from 1952; the National Health Interview Survey (NHIS), an annual data collection begun in 1957; and the Current Population Survey (CPS), a monthly survey of labor force activity based on a rotating panel design. In addition, occasional polls such as the CBS/New York Times pollsoften repeat items. Other important data sets with replicated items include the Consumer Surveys (University of Michigan's Survey Research Center), which provide data on some questions as far back as 1946.
Analyzing Repeated Surveys (Quantitative Applications in the Social Sciences) by Glenn Firebaugh