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Applied Longitudinal Data AnalysisModeling Change and Event Occurrence$
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Judith D. Singer and John B. Willett

Print publication date: 2003

Print ISBN-13: 9780195152968

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195152968.001.0001

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A Framework for Investigating Change over Time

A Framework for Investigating Change over Time

(p.3) 1 A Framework for Investigating Change over Time
Applied Longitudinal Data Analysis

Judith D. Singer

John B. Willett

Oxford University Press

This chapter describes why longitudinal data are necessary for studying change. Section 1.1 introduces three longitudinal studies of change. Section 1.2 distinguishes between the two types of issues these examples address: within-individual change, how does each person change over time? Interindividual differences in change, what predicts differences among people in their changes? This distinction provides an appealing heuristic for framing research questions and underpins the statistical models we ultimately present. Section 1.3 identifies three requisite methodological features of any study of change: the availability of multiple waves of data; a substantively meaningful metric for time; and an outcome that changes systematically.

Keywords:   change, longitudinal data, longitudinal studies, interindividual differences

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