Full Description
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.
Contents
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
