By Glenn Firebaugh
Repeated surveys -- a method for asking an identical inquiries to assorted samples of individuals -- permits researchers the chance to investigate alterations in society as an entire. This e-book starts with a dialogue of the vintage factor of the way to split cohort, interval, and age results. It then covers tools for modeling combination tendencies; tools for estimating cohort replacement's contribution to combination tendencies, a decomposition version for clarifying how microchange contributes to combination swap, and easy versions which are beneficial for the overview of fixing individual-level results.
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Additional info for Analyzing Repeated Surveys (Quantitative Applications in the Social Sciences)
Quantitative Applications in the Social Sciences ; No. 07-115 author : Firebaugh, Glenn. publisher : Sage Publications, Inc. 723 subject : Social surveys, Social surveys--Methodology, Change (Psychology) Analyzing Repeated Surveys SAGE UNIVERSITY PAPERS Series: Quantitative Applications in the Social Sciences Series Editor: Michael S. Lewis-Beck, University of Iowa Editorial Consultants Richard A. Berk, Sociology, University of California, Los Angeles William D. Berry, Political Science,Florida State University Kenneth A.
125. 1 to detect trends assumes that the items being compared are equivalent from survey to survey (Smith, 1993). "House effects" (Johnston, 1981) constitute one threat to equivalence, so for trend analysis it is best when the data come from a single survey organization. In instances in which that is not possible, a historical trend sometimes can be constructed by splicing data from two survey organizations that have asked the same question at different points in time. Splicing assumes that the two historical series overlap in time.