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Statistics for the Social Sciences : Moving Toward an Integrated Approach by Myungho Moon (2019, Trade Paperback)

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Specific sections explore multiple regression and categorical variables in regression. The final chapters focus on testing the moderation hypothesis. Th approaches the subject matter from a conceptual and practical standpoint.

About this product

Product Identifiers

PublisherCognella, Inc.

ISBN-101516519612

ISBN-139781516519613

eBay Product ID (ePID)240406394

Product Key Features

Number of Pages246 Pages

Publication NameStatistics for the Social Sciences : Moving Toward an Integrated Approach

LanguageEnglish

Publication Year2019

SubjectGeneral

TypeTextbook

AuthorMyungho Moon

Subject AreaSocial Science

FormatTrade Paperback

Dimensions

Item Height0.5 in

Item Weight17.1 Oz

Item Length10 in

Item Width8 in

Additional Product Features

Intended AudienceScholarly & Professional

SynopsisBridges the educational gap between undergraduate and graduate-level courses in social sciences statistics, providing students with a single, focused way to think about statistics, ensuring they have a firm grasp of fundamental knowledge, and introducing advanced topics and concepts., Statistics for the Social Sciences: Moving Toward an Integrated Approach bridges the educational gap between undergraduate and graduate-level courses in social sciences statistics, providing students with a single, focused way to think about statistics, ensuring they have a firm grasp of fundamental knowledge, and introducing advanced topics and concepts. The book approaches the subject matter from a conceptual and practical standpoint. It teaches students how to read and understand empirical research articles and then effectively design and analyze their own studies. 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. For a look at the specific features and benefits of Statistics for the Social Sciences , visit cognella.com/statistics-for-the-social-sciences-features-and-benefits., Statistics for the Social Sciences: Moving Toward an Integrated Approach bridges the educational gap between undergraduate and graduate-level courses in social sciences statistics, providing students with a single, focused way to think about statistics, ensuring they have a firm grasp of fundamental knowledge, and introducing advanced topics and concepts. The book approaches the subject matter from a conceptual and practical standpoint. It teaches students how to read and understand empirical research articles and then effectively design and analyze their own studies. 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. 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.