Your #1 resource for carrying out educational research as part of postgraduate study. High-quality educational research requires careful consideration of every aspect of the process. This all-encompassing textbook written by leading international experts gives you considered overview of principles that underpin research, and key qualitative, quantitative and mixed methods for research design, data collection and analysis. This third edition includes four new chapters: Disseminating your research Data science and computational research methods Observational methods Analysis of variance (ANOVA) Plus a new Research essentials feature that highlights key 'must-haves' or misconceptions relating to each methodological approach, research design or analytical tool discussed. This is essential reading for postgraduate students on education courses and early career researchers looking to sharpen their research practice.

Your #1 resource for carrying out educational research as part of postgraduate study. High-quality educational research requires careful consideration of every aspect of the process. This all-encompassing textbook written by leading international experts gives you considered overview of principles that underpin research, and key qualitative, quantitative and mixed methods for research design, data collection and analysis. This third edition includes four new chapters: Disseminating your research Data science and computational research methods Observational methods Analysis of variance (ANOVA) Plus a new Research essentials feature that highlights key 'must-haves' or misconceptions relating to each methodological approach, research design or analytical tool discussed. This is essential reading for postgraduate students on education courses and early career researchers looking to sharpen their research practice.

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.
Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.
Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. "Introduction to Meta-Analysis" Outlines the role of meta-analysis in the research processShows how to compute effects sizes and treatment effectsExplains the fixed-effect and random-effects models for synthesizing dataDemonstrates how to assess and interpret variation in effect size across studiesClarifies concepts using text and figures, followed by formulas and examplesExplains how to avoid common mistakes in meta-analysisDiscusses controversies in meta-analysisFeatures a web site with additional material and exercises

"A superb combination of lucid prose and informative graphics, written by four of the world's" "leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein" "provide a refreshing departure from cookbook approaches with their clear explanations of" "the what and why of meta-analysis. The book is ideal as a course textbook or for self-study." "My students, who used pre-publication versions of some of the chapters, raved about the" "clarity of the explanations and examples." David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics.""

"The approach taken by" Introduction to Meta-analysis "is intended to be primarily conceptual, " "and it is amazingly successful at achieving that goal. The reader can comfortably skip the" "formulas and still understand their application and underlying motivation. For the more" "statistically sophisticated reader, the relevant formulas and worked examples provide a superb" "practical guide to performing a meta-analysis. The book provides an eclectic mix of examples" "from education, social science, biomedical studies, and even ecology. For anyone considering" "leading a course in meta-analysis, or pursuing self-directed study, Introduction to" "Meta-analysis would be a clear first choice." Jesse A. Berlin, ScD

Introduction to Meta-Analysis "is an excellent resource for novices and experts alike. The book" "provides a clear and comprehensive presentation of all basic and most advanced approaches" "to meta-analysis. This book will be referenced for decades." Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University