Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences 4th Edition
Author: Visit ‘s W. Paul Vogt Page ID: 1412971098
Review
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)
About the Author
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 http://ift.tt/2dHVy6v) 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).
Paperback: 456 pagesPublisher: SAGE; 4th edition (March 8, 2011)Language: EnglishISBN-10: 1412971098ISBN-13: 978-1412971096 Product Dimensions: 8.9 x 6.1 x 1 inches Shipping Weight: 1.4 pounds (View shipping rates and policies) Best Sellers Rank: #179,726 in Books (See Top 100 in Books) #60 in Books > Politics & Social Sciences > Social Sciences > Reference #107 in Books > Politics & Social Sciences > Social Sciences > Methodology #122 in Books > Medical Books > Research
It is a very useful book both for statisticians, scientists and other professionals, as well as for students and people who use statistics from time to time only. One of its major advantages is that it is written in an understandable language without many formulas. I marked it with 4 stars only because of the price: in my view it is too expensive for a Kindle edition.
The book is filled with information that is easy to read and understand. This dictionary is what I would recommend for beginners in statistics to help them understand and learn the jargon.
Me parece una excelente herramienta para mis estudiantes de Doctorado y de maestrÃa. Es imprescindible para los cursos de EstadÃstica descriptiva, inferencial y Multivariada.
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