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).
"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*
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