Handbook of Longitudinal Research: Design, Measurement, and Analysis across the Social Sciences

681 Pages·2007·6.21 MB·English

by  Scott Menard

Handbook of Longitudinal Research:
Design, Measurement, and Analysis
In memory of my parents, Joyce and Marcel Menard, for the values they taught me,
for their help and encouragement in my education, and for always
being there when I needed them most.
Handbook of Longitudinal Research:
Design, Measurement, and Analysis
Editor
Scott Menard,
College of Criminal Justice,
Sam Houston State University,
Huntsville, Texas, USA.
Institute of Behavioral Science,
University of Colorado,
Boulder, Colorado, USA.
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Chapter10reprintedfromJournalofConsultingandClinicalPsychology61:911–919,1993.
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Contents
List of Contributors ix
Preface xi
Part I Longitudinal Research Design 1
1 Introduction: Longitudinal research design and analysis 3
Scott Menard
2 Using national census data to study change 13
Margo Anderson
3 Repeated cross-sectional research: the general social surveys 33
Tom W. Smith
4 Structuring the National Crime Victim Survey for use in longitudinal analysis 49
Lawrence Hotchkiss and Ronet Bachman
5 The Millennium Cohort Study and mature national birth cohorts in Britain 67
Heather E. Joshi
6 Retrospective longitudinal research: the German Life History Study 85
Karl Ulrich Mayer
Part II Measurement Issues in Longitudinal Research 107
7 Respondent recall 109
Jennifer K. Grotpeter
8 A review and summary of studies on panel conditioning 123
David Cantor
9 Reliability issues in longitudinal research 139
Toon W. Taris
vi Contents
10 Orderly change in a stable world: The antisocial trait as a chimera 153
Gerald R. Patterson
11 Minimizing panel attrition 167
Heather Laurie
12 Nonignorable nonresponse in longitudinal studies 185
E. Michael Foster and Anna Krivelyova
Part III Descriptive and Causal Analysis in Longitudinal Research 197
13 Graphical techniques for exploratory and confirmatory analyses of longitudinal data 199
Garrett M. Fitzmaurice
14 Separating age, period, and cohort effects in developmental and historical research 219
Scott Menard
15 An introduction to pooling cross-sectional and time series data 233
John L. Worrall
16 Dynamic models and cross-sectional data: the consequences of dynamic
misspecification 249
Ronald Schoenberg
17 Causal analysis with nonexperimental panel data 259
David F. Greenberg
18 Causal inference in longitudinal experimental research 279
Jos W. R. Twisk
Part IV Description and Measurement of Qualitative Change 295
19 Analyzing longitudinal qualitative observational data 297
Johnny Saldaña
20 Configural frequency analysis of longitudinal data 313
Alexander von Eye and Eun Young Mun
21 Analysis of longitudinal categorical data using optimal scaling techniques 333
Catrien C. J. H. Bijleveld
22 An introduction to latent class analysis 357
C. Mitchell Dayton
23 Latent class models in longitudinal research 373
Jeroen K. Vermunt, Bac Tran and Jay Magidson
Contents vii
Part V Timing of Qualitative Change: Event History Analysis 387
24 Nonparametric methods for event history data: descriptive measures 389
C. M. Suchindran
25 The Cox proportional hazards model, diagnostics, and extensions 405
Janet M. Box-Steffensmeier and Lyndsey Stanfill
26 Parametric event history analysis: an application to the analysis of
recidivism 421
Hee-Jong Joo
27 Discrete-time survival analysis: predicting whether, and if so when, an event occurs 441
Margaret K. Keiley, Nina C. Martin, Janet Canino, Judith D. Singer and John B. Willett
Part VI Panel Analysis, Structural Equation Models, and Multilevel
Models 465
28 Generalized estimating equations for longitudinal panel analysis 467
Joseph M. Hilbe and James W. Hardin
29 Linear panel analysis 475
Steven E. Finkel
30 Panel analysis with logistic regression 505
Scott Menard
31 Latent growth curve models 523
Michael Stoolmiller
32 Multilevel growth curve analysis for quantitative outcomes 545
Douglas A. Luke
33 Multilevel analysis with categorical outcomes 565
Scott Menard
Part VII Time Series Analysis and Deterministic Dynamic Models 577
34 A brief introduction to time series analysis 579
Scott Menard
35 Spectral analysis 601
William W.S. Wei
36 Time-series techniques for repeated cross-section data 621
David Sanders and Hugh Ward
viii Contents
37 Differential equation models for longitudinal data 639
Steven M. Boker
38 Nonlinear dynamics, chaos, and catastrophe theory 653
Courtney Brown
Index 665
Contributors
Anderson, Margo History and Urban Studies, University of Wisconsin, Milwaukee
Bachman, Ronet Department of Sociology, University of Delaware
Bijleveld, Catrien C. J. H. NSCR Institute for the Study of Crime and Law Enforcement, Leiden,
The Netherlands
Boker, Steven M. Department of Psychology, University of Virginia
Box-Steffensmeier, Janet M. Department of Political Science, The Ohio State University
Brown, Courtney Department of Political Science, Emory University
Canino, Janet Purdue University
Cantor, David Westat and Joint Program for Survey Methodology, University of Maryland
Dayton,C.MitchellDepartmentofMeasurement,Statistics,andEvaluation,UniversityofMaryland
Finkel, Steven E. Department of Policical Science, University of Pittsburgh and Hertie School of
Governance, Berlin, Germany
Fitzmaurice, Garret School of Public Health, Harvard University
Foster, E. Michael School of Public Health, University of North Carolina, Chapel Hill
Greenberg, David F. Department of Sociology, New York University
Grotpeter, Jennifer K. Institute of Behavioral Science, University of Colorado, Boulder
Hardin, James W. Department of Epidemiology and Biostatistics, University of South Carolina
Hilbe, Joseph M. Sociology and Statistics, Arizona State University
Hotchkiss, Lawrence Information Technology – User Services, University of Delaware
Joo, Hee-Jong College of Criminal Justice, Sam Houston State University
Joshi, Heather Centre for Longitudinal Studies, Institute of Education, University of London
Keiley, Margaret K. Human Development and Family Studies, Auburn University
Laurie, Heather Institute for Social and Economic Research, University of Essex, UK. Krivelyova,
ORC Macro, Inc.