Meta Analytic Procedures for Social Research

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  • Author : Robert Rosenthal
  • Publisher : SAGE
  • Pages : 155 pages
  • ISBN : 9780803942462
  • Rating : /5 from reviews
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Download or Read online Meta Analytic Procedures for Social Research full in PDF, ePub and kindle. this book written by Robert Rosenthal and published by SAGE which was released on 01 May 1991 with total page 155 pages. We cannot guarantee that Meta Analytic Procedures for Social Research book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Considers meta-analytic procedures (the quantitative summary of a research domain) in sufficient detail for readers either to carry them out for themselves, or evaluate the procedures when used by others and offers advice about the applicability of these techniques to specific research questions.

Meta Analytics

Meta Analytics
  • Author : Steven Simske
  • Publisher : Morgan Kaufmann
  • Release : 15 June 2019
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We live in a world in which huge volumes of data are being collected. The machine intelligence community has been very successful in turning this data into information. Taking the power of hybrid architectures as a starting point, analytics approaches can be upgraded. Meta-Analytics supplies an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behaviour than

The Handbook of Research Synthesis and Meta Analysis

The Handbook of Research Synthesis and Meta Analysis
  • Author : Harris Cooper,Larry V. Hedges,Jeffrey C. Valentine
  • Publisher : Russell Sage Foundation
  • Release : 14 June 2019
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Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of The Handbook of Research Synthesis and Meta-Analysis was published in 1994, it quickly became the definitive reference for conducting meta-analyses in both the social and behavioral sciences. In the third edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of classic chapters and add new sections that

From Experimental Network to Meta analysis

From Experimental Network to Meta analysis
  • Author : David Makowski,François Piraux,François Brun
  • Publisher : Springer
  • Release : 17 May 2019
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This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

Diagnostic Meta Analysis

Diagnostic Meta Analysis
  • Author : Giuseppe Biondi-Zoccai
  • Publisher : Springer
  • Release : 24 July 2018
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This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. In addition, it borrows extensively from the latest advances in systematic reviews and meta-analyses of intervention studies. After a section dedicated to methods for designing reviews, synthesizing evidence and appraising inconsistency in research, the application of these approaches is demonstrated in the

Meta Analytic Structural Equation Modelling

Meta Analytic Structural Equation Modelling
  • Author : Suzanne Jak
  • Publisher : Springer
  • Release : 07 December 2015
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This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. Both, the fixed and the random approach to MASEM are illustrated with two

Modern Meta Analysis

Modern Meta Analysis
  • Author : Ton J. Cleophas,Aeilko H. Zwinderman
  • Publisher : Springer
  • Release : 02 May 2017
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Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This 26-chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research. The authors have published over twenty innovative meta-analyses from the turn of the century till

Advanced BASIC Meta analysis

Advanced BASIC Meta analysis
  • Author : Brian Mullen
  • Publisher : Psychology Press
  • Release : 21 June 1989
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In response to the growing emphasis on precision in the summarization and integration of research literature, Advanced BASIC Meta-Analysis presents an overview of strategies, techniques, and procedures used in meta-analysis. The book and software provide an integrated and comprehensive combination of meta-analytic tools for the statistical integration of independent study results. Advanced BASIC Meta-Analysis has three distinct goals: * to provide a clear and user-friendly introduction to the procedures and rules of effective meta-analytic integration; * to present the implicit assumptions and

Handbook of Meta Analysis

Handbook of Meta Analysis
  • Author : Christopher H. Schmid,Theo Stijnen,Ian White
  • Publisher : CRC Press
  • Release : 08 September 2020
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Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same

Advanced Basic Meta analysis

Advanced Basic Meta analysis
  • Author : Brian Mullen
  • Publisher : Psychology Press
  • Release : 13 May 2013
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In response to the growing emphasis on precision in the summarization and integration of research literature, Advanced BASIC Meta-Analysis presents an overview of strategies, techniques, and procedures used in meta-analysis. The book and software provide an integrated and comprehensive combination of meta-analytic tools for the statistical integration of independent study results. Advanced BASIC Meta-Analysis has three distinct goals: * to provide a clear and user-friendly introduction to the procedures and rules of effective meta-analytic integration; * to present the implicit assumptions and

Meta Analysis with R

Meta Analysis with R
  • Author : Guido Schwarzer,James R Carpenter,Gerta Rücker
  • Publisher : Springer
  • Release : 16 October 2015
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This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.

Meta Analysis A Comparison of Approaches

Meta Analysis   A Comparison of Approaches
  • Author : Ralf Schulze
  • Publisher : Hogrefe Publishing
  • Release : 01 June 2004
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Meta-analysis has become the standard method for summarizing research findings in many scientific fields. The number of published applications using the method has been steadily growing in the last 25 years and the statistical procedures of meta-analysis continue to become more and more advanced.

Statistical Methods for Meta Analysis

Statistical Methods for Meta Analysis
  • Author : Larry V. Hedges,Larry Vernon Hedges,Ingram Olkin
  • Publisher : Academic Press
  • Release : 11 August 1985
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Preface. -- Introduction. -- Data Sets. -- Tests of Statistical Significance of Combined Results. -- Vote-Counting Methods. -- Estimation of a Single Effect Size: Parametric and Nonparametric Methods. -- Parametric Estimation of Effect Size from a Series of Experiments. -- Fitting Parametric Fixed Effect Models to Effect Sizes: Categorical Methods. -- Fitting Parametric Fixed Effect Models to Effect Sizes: General Linear Models. -- Random Effects Models for Effect Sizes. -- Multivariate Models for Effect Sizes. -- Combining Estimates of Correlation

How Science Takes Stock

How Science Takes Stock
  • Author : Morton Hunt
  • Publisher : Russell Sage Foundation
  • Release : 24 April 1997
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Policymakers, medical practitioners, and the public alike face an increasingly bewildering flood of new and often contradictory scientific studies on almost every topic. Whether the issue is the the best treatment for breast cancer, the need for prenatal food programs to improve the health of poor infants and mothers, or the ability of women to succeed in scientific professions, the healthy growth of modern science has at times done more to stir up controversy than to establish reliable knowledge. But