Longitudinal Research

Series Editor's Introduction v Preface to the Second Edition vii Acknowledgments viii Introduction 1(2) Definition 2(1) The Purposes of Longitudinal Research 3(21) Age, Period, and Cohort Effects 4(11) Causal Relationships 15(8) Serendipity and Intentionality in Longitudinal Data 23(1) Designs for Longitudinal Data Collection 24(9) Not-Quite-Longitudinal Designs 24(2) Total Population Designs 26(2) Repeated Cross-Sectional Designs 28(2) Revolving Panel Designs 30(1) Longitudinal Panel Designs 31(1) Other Variations 32(1) Issues in Longitudinal Research 33(17) Genesis Versus Prediction 34(1) Changes in Measurement Over Time 35(3) Panel Attrition 38(3) Treatment of Missing Data in Longitudinal Research 41(1) Repeated Measurement and Panel Conditioning 42(2) Respondent Recall 44(4) The Costs of Longitudinal Research 48(2) Longitudinal Analysis 50(31) Longitudinal Versus Cross-Sectional Statistical Models 52(3) Types of Longitudinal Causal Models 55(2) Measuring Change 57(5) Deterministic Versus Probabilistic Models 62(2) Pooling Cross-Sectional and Time Series Data 64(3) Time Series Analysis 67(3) Methods for Short Time Series With Many Cases 70(6) Methods for Long Time Series With Many Cases 76(2) Conclusion: Longitudinal Versus Cross-Sectional Data and Analysis 78(3) Notes 81(2) References 83(10) About the Author 93