Scott Menard

Longitudinal Research

• Broschiertes Buch

Produktbeschreibung

Written in non-technical language, this popular and practical volume has been completely updated to bring readers the latest advice on major issues involved in longitudinal research. It covers: research design strategies; methods of data collection; and how longitudinal and cross-sectional research compares in terms of consistency and accuracy of results.

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Produktdetails

• Verlag: Sage Publications, Inc
• 2. Auflage
• Seitenzahl: 102
• Erscheinungstermin: 19. Juli 2002
• Englisch
• Abmessung: 216mm x 140mm x 6mm
• Gewicht: 140g
• ISBN-13: 9780761922094
• ISBN-10: 0761922091
• Artikelnr.: 21908038

Autorenporträt

Scott Menard is a Professor of Criminal Justice at Sam Houston State University and a research associate in the Institute of Behavioral Science at the University of Colorado, Boulder. He received his A.B. at Cornell University and his Ph.D. at the University of Colorado, Boulder, both in Sociology. His interests include quantitative methods and statistics, life course criminology, substance abuse, and criminal victimization. His publications include Longitudinal Research (second edition Sage 2002), Applied Logistic Regression Analysis (second edition Sage 2002), Good Kids from Bad Neighborhoods (Cambridge University Press 2006, with Delbert S. Elliott, Bruce Rankin, Amanda Elliott, William Julius Wilson, and David Huizinga), Youth Gangs (Charles C. Thomas 2006, with Robert J. Franzese and Herbert C. Covey), and the Handbook of Longitudinal Research (Elsevier 2008), as well as other books and journal articles in the areas of criminology, delinquency, population studies, and statistics.

Inhaltsangabe

1 Introduction
Definition
2 The Purposes of Longitudinal Research
Age, Period, and Cohort Effects
Causal Relationships
Serendipity and Intentionality in Longitudinal Data
3 Designs for Longitudinal Data Collection
Not-Quite-Longitudinal Designs
Total Population Designs
Repeated Cross-Sectional Designs
Revolving Panel Designs
Longitudinal Panel Designs
Other Variations
4 Issues in Longitudinal Research
Genesis Versus Prediction
Changes in Measurement Over Time
Panel Attrition
Treatment of Missing Data in Longitudinal Research
Repeated Measurement and Panel Conditioning
Respondent Recall
The Costs of Longitudinal Research
5 Longitudinal Analysis
Longitudinal versus Cross-Sectional Statistical Methods
Types of Longitudinal Causal Models
Measuring Change
Deterministic versus Probabilistic Models
Pooling Cross-Sectional and Time Series Data
Time Series Analysis
Methods for Short Time Serieswith Many Cases
Methods for Long Time Seres with Many Cases
Longitudinal Versus Cross-Sectional Data and Analysis
Notes
References