書誌事項

Longitudinal research

Scott Menard

(Sage university papers series, . Quantitative applications in the social sciences ; no. 07-76)

Sage Publications, c2002

2nd ed

  • : pbk

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注記

Previous ed.: 1991

Includes bibliographical references (p. 83-92)

内容説明・目次

内容説明

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.

目次

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

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