Statistics for the Social Sciences
Moving Toward an Integrated Approach (First Edition)
©2020, 246 pages
Paperback list price: $ 61.95
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Over the course of 12 chapters, students learn about descriptive statistics, null hypothesis significance testing, preparatory data analysis, means comparison procedures, multiple independent group means, correlation, and simple regression. Specific sections explore multiple regression and categorical variables in regression. The final chapters focus on testing the moderation hypothesis. Throughout, students are provided with data analysis examples with annotated output to build practical knowledge, as well as discussion questions and exercises to foster critical thinking and direct application.
Innovative and highly accessible, Statistics for the Social Sciences is well suited for upper-level undergraduate or first-year graduate level courses in social sciences statistics.
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Simon M. Moon is an associate professor in the Department of Psychology at La Salle University, where he teaches courses in measurement and statistics, research methods, psychometrics, industrial and organizational psychology, and social psychology. He earned a Ph.D. in psychology from The University of Akron and a master’s degree in psychology from Yonsei University. Dr. Moon has taught statistics since 2000 at the undergraduate, graduate, and doctoral levels. He has worked on various research and grant projects that require the most up-to-date knowledge within the discipline, and he is a member of APA Division 5, the Division of Evaluation, Measurement, and Statistics, and Division 14, the Society for Industrial and Organizational Psychology.
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The Cognella Active Learning content for Statistics for the Social Sciences: Moving Toward an Integrated Approach includes:
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“Simon says: adopt this well-written, informative, and erudite textbook by Simon Moon for your introductory behavioral sciences statistics course. In a concise fashion, Dr. Moon presents the essentials of applying statistics to answer research questions in the social sciences. There are plenty of SPSS-based examples to serve as guides for future exploration of the use of statistical packages. I would recommend the book as a primary resource, although it could also serve as a supplemental text.”
Dennis Doverspike, Ph.D., ABPP, Full Professor of Psychology, University of Akron
Dennis Doverspike, Ph.D., ABPP, Full Professor of Psychology, University of Akron
