Handbook of Longitudinal Research Design Measurement and Analysis across the Social Sciences 1st Edition by Scott Menard ISBN 978-0123704818 0123704812

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ISBN 10:  0123704812

ISBN 13:  978-0123704818

Author: Scott Menard

Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis.

Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors’ data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice.

As the comprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level.

Contributors and subject areas are interdisciplinary to reach the broadest possible audience (i.e., psychology, epidemiology, and economics research fields)
Summary material will be included for less sohisticated readers
Extensive coverage is provided of traditional advanced topics

Table of contents: 

Part I Longitudinal Research Design

1 Introduction: Longitudinal research design and analysis Scott Menard

2 Using national census data to study change Margo Anderson

3 Repeated cross-sectional research: the general social surveys Tom W. Smith

4 Structuring the National Crime Victim Survey for use in longitudinal analy Lawrence Hotchkiss and Ronet Bachman

5 The Millennium Cohort Study and mature national birth cohorts in Britain Heather E. Joshi

6 Retrospective longitudinal research: the German Life History Study Karl Ulrich Mayer

Part II Measurement Issues in Longitudinal Research

7 Respondent recall Jennifer K. Grotpeter

8 A review and summary of studies on panel conditioning David Cantor

9 Reliability issues in longitudinal research Toon W. Taris

10 Orderly change in a stable world: The antisocial trait as a chimera Gerald R. Patterson

11 Minimizing panel attrition Heather Laurie

12 Nonignorable nonresponse in longitudinal studies

E. Michael Foster and Anna Krivelyova

Part III Descriptive and Causal Analysis in Longitudinal Research

13 Graphical techniques for exploratory and confirmatory analyses of longitudinal data Garrett M. Fitzmaurice

14 Separating age, period, and cohort effects in developmental and historical research Scott Menard

15 An introduction to pooling cross-sectional and time series data John L. Worrall

16 Dynamic models and cross-sectional data: the consequences of dynamic misspecification

Ronald Schoenberg

17 Causal analysis with nonexperimental panel data David F. Greenberg

18 Causal inference in longitudinal experimental research Jos W. R. Twisk

Part IV Description and Measurement of Qualitative Change

19 Analyzing longitudinal qualitative observational data Johnny Saldaña

20 Configural frequency analysis of longitudinal data Alexander von Eye and Eun Young Mun

21 Analysis of longitudinal categorical data using optimal scaling techniques Catrien C. J. H. Bijleveld

22 An introduction to latent class analysis C. Mitchell Dayton

23 Latent class models in longitudinal research Jeroen K. Vermunt, Bac Tran and Jay Magidson

Part V Timing of Qualitative Change: Event History Analysis

24 Nonparametric methods for event history data: descriptive measures

C. M. Suchindran

25 The Cox proportional hazards model, diagnostics, and extensions

Janet M. Box-Steffensmeier and Lyndsey Stanfill

26 Parametric event history analysis: an application to the analysis of recidivism

Hee-Jong Joo

27 Discrete-time survival analysis: predicting whether, and if so when, an event occurs 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

28 Generalized estimating equations for longitudinal panel analysis

Joseph M. Hilbe and James W. Hardin

29 Linear panel analysis

Steven E. Finkel

30 Panel analysis with logistic regression

Scott Menard

31 Latent growth curve models

Michael Stoolmiller

32 Multilevel growth curve analysis for quantitative outcomes

Douglas A. Luke

33 Multilevel analysis with categorical outcomes

Scott Menard

Part VII Time Series Analysis and Deterministic Dynamic Models

34 A brief introduction to time series analysis

Scott Menard

35 Spectral analysis

William W.S. Wei

36 Time-series techniques for repeated cross-section data

David Sanders and Hugh Ward

37 Differential equation models for longitudinal data Steven M. Boker

38 Nonlinear dynamics, chaos, and catastrophe theory Courtney Brown

Index

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