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Product Identifiers
PublisherOxford University Press, Incorporated
ISBN-100197522432
ISBN-139780197522431
eBay Product ID (ePID)18050032086
Product Key Features
Number of Pages544 Pages
LanguageEnglish
Publication NameUsing Statistical Methods in Social Science Research : with a Complete SPSS Guide
Publication Year2021
SubjectSocial Work, Statistics, Research & Methodology
TypeTextbook
AuthorSoleman H. Abu-Bader
Subject AreaSocial Science, Psychology
FormatTrade Paperback
Dimensions
Item Height1.1 in
Item Weight33.7 Oz
Item Length9.1 in
Item Width7.5 in
Additional Product Features
Edition Number3
Intended AudienceCollege Audience
Dewey Edition22
Reviews"Using Statistical Methods in Social Science Research, Third Edition is a very clear, concise, engaging, and simple-to-follow step-by-step guide to statistical procedures and their executions in SPSS. The book is a great assistant to learners who find the mathematical formulae involved in statistical calculations daunting. Without complicated formulae, the book explains plainly the principles underlying statistical tests and analyses, and it facilitates learning through various practical examples and exercises." -- Hisham M. Abu-Rayya, La Trobe University, Australia "This book is an excellent resource for anyone seeking to learn statistics for the first time and for those who need an SPSS guide to analyze their research. It is incredibly user-friendly. The text is easy to understand, and the SPSS guide is very easy to follow. Additionally, the varied practical exercises are very helpful in assuring that readers are able to apply their knowledge in different ways. I intend to use this book as a required text for all three of my upcoming statistics courses. I also plan to use it for my own research that requires bivariate analysis." -- Tiffanie Victoria Jones, Grambling State University "Using Statistical Methods in Social Science Research is the text I wish I'd had as a beginning doctoral student. It is comprehensive and meticulous in its explanations of assumptions and functions of statistical operations, yet student-friendly in that ample examples of real-world applications are provided. Exercises will lead students to understanding statistical concepts on both an intuitive and practical level." -- JoAnne Yaffe, University of Utah, "Using Statistical Methods in Social Science Research, Third Edition is a very clear, concise, engaging, and simple-to-follow step-by-step guide to statistical procedures and their executions in SPSS. The book is a great assistant to learners who find the mathematical formulae involved in statistical calculations daunting. Without complicated formulae, the book explains plainly the principles underlying statistical tests and analyses, and it facilitates learning through various practical examples and exercises." -- Hisham M. Abu-Rayya, La Trobe University, Australia"This book is an excellent resource for anyone seeking to learn statistics for the first time and for those who need an SPSS guide to analyze their research. It is incredibly user-friendly. The text is easy to understand, and the SPSS guide is very easy to follow. Additionally, the varied practical exercises are very helpful in assuring that readers are able to apply their knowledge in different ways. I intend to use this book as a required text for all three of my upcoming statistics courses. I also plan to use it for my own research that requires bivariate analysis." -- Tiffanie Victoria Jones, Grambling State University"Using Statistical Methods in Social Science Research is the text I wish I'd had as a beginning doctoral student. It is comprehensive and meticulous in its explanations of assumptions and functions of statistical operations, yet student-friendly in that ample examples of real-world applications are provided. Exercises will lead students to understanding statistical concepts on both an intuitive and practical level." -- JoAnne Yaffe, University of Utah
Dewey Decimal005.5/5
SynopsisUsing Statistical Methods in Social Science Research, Third Edition is the user-friendly text every student needs for analyzing and making sense of quantitative data. With over 20 years of experience teaching statistics, Soleman H. Abu-Bader provides an accessible, step-by-step description of the process needed to organize data, choose a test or statistical technique, analyze, interpret, and report research findings., Using Statistical Methods in Social Science Research , Third Edition is the user-friendly text every student needs for analyzing and making sense of quantitative data. With over 20 years of experience teaching statistics, Soleman H. Abu-Bader provides an accessible, step-by-step description of the process needed to organize data, choose a test or statistical technique, analyze, interpret, and report research findings. The book begins with an overview of research and statistical terms, followed by an explanation of basic descriptive statistics. It then focuses on the purpose, rationale, and assumptions made by each test, such as Pearson's correlation, student's t-tests, analysis of variances, and simple linear regression, among others. The book also provides a wealth of research examples that clearly display the applicability and function of these tests in real-world practice. In a separate appendix, the author provides a step-by-step process for calculating each test for those who still like to understand the mathematical formulas behind these processes., Using Statistical Methods in Social Science Research, Third Edition is the user-friendly text every student needs for analyzing and making sense of quantitative data. With over 20 years of experience teaching statistics, Soleman H. Abu-Bader provides an accessible, step-by-step description of the process needed to organize data, choose a test or statistical technique, analyze, interpret, and report research findings. The book begins with an overview of research and statistical terms, followed by an explanation of basic descriptive statistics. It then focuses on the purpose, rationale, and assumptions made by each test, such as Pearson's correlation, student's t-tests, analysis of variances, and simple linear regression, among others. The book also provides a wealth of research examples that clearly display the applicability and function of these tests in real-world practice. In a separate appendix, the author provides a step-by-step process for calculating each test for those who still like to understand the mathematical formulas behind these processes.
