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Longitudinal research by Scott Menard.
Series Sage university papers series. Quantitative applications in the social sciences ; no. 07-76Detalles de publicación: Thousand Oaks, Calif. Sage Publications c2002.Edición: 2nd edDescripción: viii, 93 p. 22 cmISBN:- 0761922091 (pbk.)
- 300.72 M535L2 21
- H62 .M39 2002
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro | Biblioteca Encarnación Valdés Colección General bev | 300.72 M535L2 (Navegar estantería(Abre debajo)) | Disponible | 80000002226424 |
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Descripciones mejoradas de Syndetics:
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.
Includes bibliographical references.
Tabla de contenidos provista por Syndetics
- 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