Handbook of Longitudinal Research
Design, Measurement, and AnalysisEdited by
- 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.
Graduate level students, instructors, and practicing researchers in the social and behavioral sciences. Secondary market in related fields like epidemiology and biomedical research.
Hardbound, 680 Pages
Published: October 2007
Imprint: Academic Press
"The Handbook of Longitudinal Research provides a set of chapters that treat the topic of longitudinal research in an informative and comprehensive fashion. With an increasing emphasis on accountability and evaluation for funded programs and for the precision that more sophisticated questions demands, this collection of chapters provides a valuable resource." --Neil J. Salkind Studio B "This is an impressively thorough treatment of important issues in design and analysis of longitudinal research. It will serve as a definitive handbook. The first chapter is particularly useful as guidance for the selection of analytic methods that are presented in detail in subsequent chapters." --Dr. Rebecca Warner University of New Hampshire "Menard has assembled an excellent collection of essays (all but three are original contributions) on a wide array to topics related to longitudinal research. Whether you are a novice to longitudinal research or a seasoned veteran, this collection will prove to be a valuable resource, with topics ranging from basic methodological issues (e.g., respondent recall, panel attrition, and panel conditioning) to advanced analytical concerns (e.g., spectral analysis, latent growth curve analysis, and discrete time event history analysis)." --Finn Esbensen University of Missouri-St. Louis "The Handbook of Longitudinal Research will be an invaluable reference for organizational scientists engaged in serious longitudinal work. In particular, it should prove quite useful for designing investigations of organizational changeâan arena where the use of longitudinal research designs has become essential." --Richard W. Woodman Texas A & M University
- TABLE OF CONTENTSPart I. Longitudinal Research Designs1. Introduction: Longitudinal Research Design and Analysis Scott Menard2. Using National Census Data to Study Change Margo Anderson3. Repeated Cross-Sectional Research: The General Social Surveys Tom W. Smith4. Structuring the National Crime Victim Survey for Use in Longitudinal Analysis Lawrence Hotchkiss and Ronet Bachman5. The Mellennium Cohort Study and Mature National Birth Cohorts in Britain Heather E. Joshi6. Retrospective Longitudinal Research: The German Life History Study Karl Ulrich MayerPart II. Measurement Issues in Longitudinal Research7. Respondent Recall Jennifer K. Grotpeter8. A Review and Summary of Studies on Panel Conditioning David Cantor9. Reliability Issues in Longitudinal Research Toon W. Taris10. Orderly Changes in a Stable World: The Antisocial Trait as a Chimera Gerald R. Patterson11. Minimizing Panel Attrition Heather Laurie12. Nonignorable Nonresponse in Longitudinal Studies E. Michael Foster and Anna KrivelyovaPart III. Descriptive and Causal Analysis in Longitudinal Research13. Graphical Techniques for Exploratory and Confirmatory Analyses of Longitudinal Data Garrett M. Fitzmaurice14. Separating Age, Period, and Cohort Effects in Developmental and Historical Research Scott Menard15. An Introduction to Pooling Cross-Sectional and Time Series Data John L. Worrall16. Dynamic Models and Cross-Sectional Data: The Consequences of Dynamic Misspecification Ronald Schoenberg17. Causal Analysis with Nonexperimental Panel Data David F. Greenberg18. Causal Inference in Longitudinal Experimental Research Jos W. R. TwiskPart IV. Description and Measurement of Qualitative Change19. Analyzing Longitudinal Qualitative Observational Data Johnny SaldaÃ±a20. Configural Frequency Analysis of Longitudinal Data Alexander von Eye and Eun Young Mun21. Analysis of Longitudinal Categorical Data Using Optimal Scaling Techniques Catrien C. J. H. Bijleveld22. An Introduction to Laten Class Analysis C. Mitchell Dayton23. Latent Class Models in Longitudinal ResearchJeroen K. Vermunt, Bac Tran, and Jay MagidsonPart V. Timing of Qualitative Change: Event History Analysis24. Nonparametric Methods for Event History Data: Descriptive Measures C. M. Suchindran25. The Cox Proportional Hazards Model, Diagnostics, and Extensions Janet M. Box-Steffensmeier and Lyndsey Stanfill26. Parametric Event History Analysis: An Application to the Analysis of Recidivism Hee-Jong Joo27. Discrete-Time Survival Analysis: Predicting Whether, and if so When, an Event Occures Margaret K. Keiley, Nina C. Martin, Janet Canino, Judith D. Singer and John B. WillettPart VI. Panel Analysis, Structural Equation Models, and Multilevel Models28. Generalized Estimating Equations for Longitudinal Panel Analysis Joseph M. Hilbe and James W. Hardin29. Linear Panel Analysis Steven E. Finkel30. Panel Analysis with Logistic Regression Scott Menard31. Latent Growth Curve Models Michael Stoolmiller32. Multilevel Growth Curve Analysis for Quantitative Outcomes Douglas A. Luke33. Multilevel analysis with Categorical Outcomes Scott MenardPart VII. Time Series Analysis and Deterministic Dynamic Models34. A Brief Introduction to Time Series Analysis Scott Menard35. Spectral Analysis William W. S. Wei36. Time-Series Techniques for Repeated Cross-Section Data David Sanders and Hugh Ward37. Differential Equation Models for Longitudinal Data Steven M. Boker38. Nonlinear Dynamics, Chaos, and Catastrophe Theory Courtney Brown