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9781544344027

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This text is most timely given the popular use of R in many introductory stats courses throughout our universities. The reader will find the presentation of visuals, tips, and syntax in using R to be most impressive relative to what other books provide! This is a ""must have"" text for faculty and students embarking on a stats course that utilizes the R program.  -- Kyle Woosnam Finally, a statistics book that makes statistics clear to those who hate statistics. -- Frank A. Salamone ""A Guide to R for Social and Behavioral Sciences"" provides just the right balance between coverage of statistical concepts ad R guidelines. It eliminates the need to adopt a separate textbook for statistics and an R workbook. -- Renato Corbetta This is a great resource for both undergraduate and graduate students for training in fields increasingly utilizing R in data analyses! -- Dr. Lisa Hollis-Sawyer This is an excellent comprehensive book that fills in many of the gaps that researchers struggle to find in many sources. This is a great reference for Social and Behavioral scientists who want to get quickly to applying concepts using R, getting results, and understanding them. -- Ahmed Ibrahim This text is a welcome addition to the existing works that seek to explain how to use R and R Studio. The authors do a marvelous job in breaking the program down to its most basic elements for beginners and advanced users as they undertake numerous statistical procedures. Some of the finest qualities of the work are the visuals and screenshots that give readers the confidence they need to run statistics using R in the most proficient means possible!  -- Kyle Woosnam

This text is a welcome addition to the existing works that seek to explain how to use R and R Studio. The author [insert here] does a marvelous job in breaking the program down to its most basic elements for beginners and advanced users as they undertake numerous statistical procedures. Some of the finest qualities of the work are the visuals and screenshots that give readers the confidence they need to run statistics using R in the most proficient means possible! -- Kyle Woosnam This is an excellent comprehensive book that fills in many of the gaps that researchers struggle to find in many sources. This is a great reference for Social and Behavioral scientists who want to get quickly to applying concepts using R, getting results, and understanding them. -- Ahmed Ibrahim This is a great resource for both undergraduate and graduate students for training in fields increasingly utilizing R in data analyses! -- Dr. Lisa Hollis-Sawyer A Guide to R for Social and Behavioral Sciences provides just the right balance between coverage of statistical concepts ad R guidelines. It eliminates the need to adopt a separate textbook for statistics and an R workbook. -- Renato Corbetta Finally, a statistics book that makes statistics clear to those who hate statistics. -- Frank A. Salamone This text is most timely given the popular use of R in many introductory stats courses throughout our universities. The reader will find the presentation of visuals, tips, and syntax in using R to be most impressive relative to what other books provide! This is a must have text for faculty and students embarking on a stats course that utilizes the R program. -- Kyle Woosnam

Author Information

Brian Joseph Gillespie, Ph.D. is a researcher in the Faculty of Spatial Sciences at the University of Groningen in the Netherlands. He is the author of Household Mobility in America: Patterns, Processes, and Outcomes (Palgrave, 2017) and coauthor of The Practice of Survey Research: Theory and Applications (Sage, 2016) and Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences (Sage, 2018). He has also published research in a variety of social science journals on topics related to family, migration, the life course, and interpersonal relationships.   Kathleen Charli Hibbert, Ph.D. is a social ecologist at the U.S. Environmental Protection Agency researching potential health impacts from relationships and interactions between humans and their environment(s). She has published works on micro-activity behavior, intentional living communities, vulnerable communities, e-waste, non-chemical stressors, children’s health, and older adult sexuality. She has taught quantitative analysis and research methods in sociology, psychology, and research departments using a variety of statistical applications. William E. Wagner, III,  PhD, is Chair of the Department of Sociology at California State University, Dominguez Hills and Executive Director of the Social Science Research & Instructional Council of the CSU. He is co-author of Adventures in Social Research, 11th edition (SAGE, 2022), The Practice of Survey Research (SAGE, 2016), and A Guide to R for Social and Behavioral Sciences (SAGE, 2020) and author of Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics, 7th edition (SAGE, 2019).

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