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.
Read More ↓Title Statements
- Full title :Statistical methods for meta-analysis / Larry V. Hedges, Ingram Olkin.
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.
Read More ↓Edition Statements
- Publication Date:1985.
Publication Statements
- Publisher(s):Academic Press
- Place of Publication:Orlando
- Language:eng
- Publication Date:1985.
The Physical Object
- Description:1 online resource (xxii, 369 pages) : : illustrations
Edition Identifiers
- ISBN:9780080570655, 0080570658, 9781322554877, 1322554870
- oclc:ocn567846807
- LC Classification:HA29
- Dewey Decimal:300/.72
Table of 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 Estimato…
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