By Glenn Firebaugh
Repeated surveys -- a strategy for asking an identical inquiries to assorted samples of individuals -- permits researchers the chance to investigate alterations in society as a complete. This ebook 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 developments; equipment for estimating cohort replacement's contribution to mixture traits, a decomposition version for clarifying how microchange contributes to combination swap, and straightforward types which are beneficial for the review of adjusting individual-level results.
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Extra resources for Analyzing Repeated Surveys (Quantitative Applications in the Social Sciences)
B. c. d. 001. 2 Trend Analysis of Support for Spending on Social Security, 1984-1993: Logit CoefficientsModelCoding of Dependent Variablea1 = Spend1 = SpendToo MuchToo LittleModel 1: Retirees vs. 022 Model 2: Retirees vs. a. "About right" is classified with "spend too little" in the first column of coefficients, and with "spend too much" in the second column of coefficients. b. c. d. 001. Page 20 too little on Social Security. Retirees, then, are significantly more likely to say that spending on Social Security is "about right", whereas others are more likely to choose either "too much" or "too little".
Has the decline been faster or slower in the South? Has opposition declined at the same rate for men and women, and for blacks and whites? Have the trends crossed for white women and black women, so that now black women are more likely than white women to oppose interracial marriages (Paset & Taylor, 1991)? There are five possibilities regarding group differences in linear trends: coincident trends, parallel trends, converging trends, diverging trends, and crossed trends. Suppose, for example, that we estimated trends in whites' opposition to interracial marriage separately for the South (S) and the Nonsouth (N).
07-114. Thousand Oaks, CA: Sage. Page iii Contents Series Editor's Introduction v Preface vii 1. Introduction 1 Repeated Surveys: Same Questions, Different Samples 1 Repeated Surveys Versus Panel Surveys 2 Analytic Designs for Repeated Surveys 4 A Note on Terminology 5 2. Distinguishing Age, Period, and Cohort Effects 6 Age, Period, and Cohort Effects 6 The Identification Problem 8 Strategies for Overcoming the Identification Problem 9 3. Aggregate Trends 12 Smoothing Trends 12 Group Differences in Trends: Convergence and Divergence 14 Empirical Example of the Divergence Model: Testing the Age Polarization Thesis 17 4.