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 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.

Aggregate Trends

Many repeated survey data sets now span several decades, and it is possible to detect social trends. The trick is to distinguish trends from erratic fluctuations.

Smoothing Trends

Change in Y, time 1 to time 2, is defined as Y2-Y1. Analyses of repeated surveys sometimes overinterpret this difference, especially for short time intervals. An observed difference from ...

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