A Guide to R for Social and Behavioral Science Statistics - Tapa blanda

Gillespie, Brian Joseph; Hibbert, Kathleen Charli; Wagner-Huang, William E.

 
9781544344027: A Guide to R for Social and Behavioral Science Statistics

Sinopsis

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics. 

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Acerca de los autores

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 Professor of Sociology at California State University-Channel Islands where he teaches courses in statistics and research methods. He has published research on topics such as urban sociology, sports, homophobia, and academic status. He is co-author of Adventures in Social Research, 10E (SAGE, 2018), 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 (2019).


De la contraportada

Geared toward social and behavioural statistics students, especially those with no background in computer science, this handy guide contains basic information on statistics in the R language.

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