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

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 Content: part I. Longitudinal Research Designs: 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 analysis / 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: Respondent recall / Jennifer K. Grotpeter -- 8. 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 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 inferences in longitudinal experimental research / Jos W. R. Twisk -- part IV. Description and measurement of qualitative Change: 19. Description and measurement of qualitative change / 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... [et al.] -- part V. Timing of qualitative change: event history analysis: 24. Nonparametric Event History Analysis: Life Table Models / 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 it so when, an event occurs / Margaret K. Keiley... [et al.] -- 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 VI. 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. 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 Rese arch 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.