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Statistical methods for meta-analysis /
The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis, and we do not deal with these.
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Orlando :
Academic Press,
1985.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Statistical Methods for Meta-Analysis; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgments; Chapter 1. Introduction; A. The Use of Statistical Procedures for Combining the Results of Research Studies in the Social Sciences; B. Failings in Conventional Statistical Methodology in Research Synthesis; C. Statistics for Research Synthesis; Chapter 2. Data Sets; A. Cognitive Gender Differences; B. Sex Differences in Conformity; C. The Effects of Open Education; D. The Relationship between Teacher Indirectness and Student Achievement.
- Chapter 3. Tests of Statistical Significance of Combined ResultsA. Preliminaries and Notation; B. General Results on Tests of Significance of Combined Results; C. Combined Test Procedures; D. The Uses and Interpretation of Combined Test Procedures in Research Synthesis; E. Technical Commentary; Chapter 4. Vote-Counting Methods; A. The Inadequacy of Conventional Vote-Counting Methodology; B. Counting Estimators of Continuous Parameters; C. Confidence Intervals for Parameters Based on Vote Counts; D. Choosing a Critical Value; E. Estimating an Effect Size; F. Estimating a Correlation.
- G. Limitations of Vote-Counting EstimatorsH. Vote-Counting Methods for Unequal Sample Sizes; Chapter 5. Estimation of a Single Effect Size: Parametric and Nonparametric Methods; A. Estimation of Effect Size from a Single Experiment; B. Distribution Theory and Confidence Intervals for Effect Sizes; C. Robust and Nonparametric Estimation of Effect Size; D. Other Measures of Effect Magnitude; E. Technical Commentary; Chapter 6. Parametric Estimation of Effect Size From a Series of Experiments; A. Model and Notation; B. Weighted Linear Combinations of Estimates.
- C. Other Methods of Estimation of Effect Size from a Series of ExperimentsD. Testing for Homogeneity of Effect Sizes; E. Computation of Homogeneity Test Statistics; F. Estimation of Effect Size for Small Sample Sizes; G. The Effects of Measurement Error and Invalidity; Chapter 7. Fitting Parametric Fixed Effect Models to Effect Sizes: Categorical Models; A. An Analogue to the Analysis of Variance for Effect Sizes; B. Model and Notation; C. Some Tests of Homogeneity; D. Fitting Effect Size Models to a Series of Studies; E. Comparisons among Classes.
- F. Computational Formulas for Weighted Means and Homogeneity StatisticsChapter 8. Fitting Parametric Fixed Effect Models to Effect Sizes: General Linear Models; A. Model and Notation; B.A Weighted Least Squares Estimator of Regression Coefficients; C. Testing Model Specification; D. Computation of Estimates and Test Statistics; E. The Accuracy of Large Sample Approximations; F. Other Methods of Estimating Regression Coefficients; G. Technical Commentary; Chapter 9. Random Effects Models for Effect Sizes; A. Model and Notation; B. The Variance of Estimates of Effect Size.