Overview

Packed with new definitions, terms, and graphics, this invaluable resource is an ideal reference for researchers and professionals in the field and provides everything students need to read and understand a research report, including elementary terms, concepts, methodology, and design definitions, as well as concepts from qualitative research methods and terms from theory, and philosophy. New to this edition: More than 500 new terms, definitions, and graphics provide readers with new, emerging, and important information. 15 new figures clarify terms and definitions. A new appendix lists the statistical assumptions of ANOVA, ANCOVA, regression, repeated measures ANOVA, mixed ANOVA, correlation, independent t test, paired samples t test, and chi-square for contingency tables, broadening the reach of the dictionary and making it more valuable for those new to quantitative research. Numerous additional updates include new terms for the health sciences, more on research designs, structural equation modelling, statistical techniques, and more measurement terms to increase the scope of the book.

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9781483381763

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Reviews

Do you teach evaluation, research methods, or statistics, or need to teach some key concepts to evaluation stakeholders? Are you in grad school and just learning social science research methods? This handy guide is a great resource for instructors and students alike, as it offers both definitions and relevant, understandable examples. Are you a visual learner? The book also features dozens of easy-to-interpret charts, tables, graphs, and figures. -- Sheila B. Robinson

Do you teach evaluation, research methods, or statistics, or need to teach some key concepts to evaluation stakeholders? Are you in grad school and just learning social science research methods? This handy guide is a great resource for instructors and students alike, as it offers both definitions and relevant, understandable examples. Are you a visual learner? The book also features dozens of easy-to-interpret charts, tables, graphs, and figures. --Sheila B. Robinson

Do you teach evaluation, research methods, or statistics, or need to teach some key concepts to evaluation stakeholders? Are you in grad school and just learning social science research methods? This handy guide is a great resource for instructors and students alike, as it offers both definitions and relevant, understandable examples. Are you a visual learner? The book also features dozens of easy-to-interpret charts, tables, graphs, and figures. -- Sheila B. Robinson This book is a useful addition to anyone's library. A strength of the book is the authors' writing and presentation style; it is engaging and instructive, but not too technical. -- Jann W. MacInnes The text is very inclusive and is a solid resource for students and practitioners alike. The cross-references are extensive and helpful, and the langauge is clear and easy to understand. -- Anita G. Welch The strengths of this book are the accessibility and ease of use, and I really like how the entries are cross referenced allowing one to learn related words and additional concepts. This text is not only a great resource for students who are learning experimental research but a must have for researchers and professionals in the field who conduct, study, teach, and utilize quantitative research in social sciences. -- Brittany Landrum I like the book's succinct, clear approach to definitions and descriptions. Plenty of textbooks and references have lengthy, abstruse descriptions of research terminology. The SAGE Dictionary of Statistics & Methodology is a rare and welcome exception to this trend. -- Keith F. Donohue

Author Information

W. Paul Vogt is Emeritus Professor of Research Methods and Evaluation at Illinois State University where he won both teaching and research awards. He specializes in methodological choice and program evaluation and is particularly interested in ways to integrate multiple methods. His other books include: Tolerance & Education: Learning to Live with Diversity and Difference (Sage Publications, 1998); Quantitative Research Methods for Professionals (Allyn & Bacon, 2007); Education Programs for Improving Intergroup Relations (coedited with Walter Stephan, Teachers College Press, 2004). He is also editor of four 4-volume sets in the series, Sage Benchmarks in Social Research Methods: Selecting Research Methods (2008); Data Collection (2010); Quantitative Research Methods (2011); and, with Burke Johnson, Correlation and Regression Analysis (2012).His most recent publications include the coauthored When to Use What Research Design (2012) and Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods Approaches (2014). Burke Johnson is a professor in the Professional Studies Department at the University of South Alabama. His PhD is from the REMS (research, evaluation, measurement, and statistics) program in the College of Education at the University of Georgia. He also has graduate degrees in psychology, sociology, and public administration, which have provided him with a multidisciplinary perspective on research methodology. He was guest editor for a special issue of Research in the Schools focusing on mixed research (available online at www.msera.org/rits_131.htm) and completed a similar guest editorship for the American Behavioral Scientist. He was an associate editor of the Journal of Mixed Methods Research. Burke is first author of Educational Research: Quantitative, Qualitative, and Mixed Approaches (Sage, 2014, 5th edition); second author of Research Methods, Design, and Analysis (Pearson, 2014, 12th edition); coeditor (with Sharlene Hesse-Biber) of The Oxford Handbook of Multimethod and Mixed Methods Research Inquiry (2015); coeditor (with Paul Vogt) of Correlation and Regression Analysis (2012); and associate editor of The SAGE Glossary of the Social and Behavioral Sciences (2009).  

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