Screen LibraryStatistical 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.
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| Main Authors: | |
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| Corporate Authors: | |
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| Published: |
Academic Press,
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| Publisher Address: | Orlando : |
| Publication Dates: | 1985. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://www.sciencedirect.com/science/book/9780080570655 |
| Summary: |
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. |
| Carrier Form: | 1 online resource (xxii, 369 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 347-359). |
| ISBN: |
9780080570655 0080570658 9781322554877 1322554870 |
| Index Number: | HA29 |
| CLC: | C3 |
| Contents: |
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. |