{"product_id":"9783032171443","title":"Using R for Introductory Statistics in Social Sciences","description":"\u003ch3\u003eQuantitative Methods in the Humanities and Social Sciences\u003c\/h3\u003e\u003ch1\u003eUsing R for Introductory Statistics in Social Sciences\u003c\/h1\u003e\u003ch3\u003eMark A. Perkins\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eSocial Science \/ Statistics\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eThis book teaches R programming for fundamental statistical and data analysis skills, specifically tailored to social scientists and others new to quantitative research. Traditionally, this audience has relied on costly software packages such as SPSS, STATA, and SAS. However, R is a free, open-source alternative that, with proper guidance, is accessible and powerful for their needs. Many existing resources, whether books or online, are overly technical or difficult to follow. This book fills that gap by offering a concise, practical guide to mastering essential statistical processes, equipping readers with skills they can use throughout their careers.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eData analysts, institutional researchers, and other professionals will use the book to perform statistical analyses and generate reports for their organizations. The included code—both in the book and online—helps them apply techniques to their own data. Readers will gain the following skills:\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cul\u003e\r\n\u003cli class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eInstall and set up R and RStudio; write R scripts and create R Markdown documents.\u003c\/span\u003e\u003c\/li\u003e\r\n\u003cli class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eUnderstand variable types, measurement scales, and the basics of descriptive and inferential statistics.\u003c\/span\u003e\u003c\/li\u003e\r\n\u003cli class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eConduct chi-square tests, t-tests, ANOVA, regression, and time series analysis in R.\u003c\/span\u003e\u003c\/li\u003e\r\n\u003cli class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eAssess and interpret statistical outputs; write results in APA format.\u003c\/span\u003e\u003c\/li\u003e\r\n\u003cli class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eVisualize data using ggplot2 and related libraries; create publication-ready charts and tables\u003c\/span\u003e\u003c\/li\u003e\r\n\u003cli class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eEvaluate statistical assumptions and apply techniques responsibly to real-world datasets\u003c\/span\u003e\u003c\/li\u003e\r\n\u003cli class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif;\"\u003eCommunicate findings clearly and concisely using professional standards\u003c\/span\u003e\u003c\/li\u003e\r\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-fareast-font-family: Calibri;\"\u003e\u003cstrong\u003eMark A. Perkins\u003c\/strong\u003e is a researcher, teacher, and writer whose academic path began in English education and evolved into a passion for statistics and data science. After earning a Ph.D. in Educational Research Methods from Colorado State University in 2014, he built a career focused on applied analytics, research design, and helping others make sense of complex data. He currently serves as an associate professor of educational research methods at the University of Wyoming. His work has appeared in \u003cem\u003ePLOS ONE\u003c\/em\u003e, \u003cem\u003eSTAR Protocols\u003c\/em\u003e, and other peer-reviewed journals. Mark lives in Wyoming with his wife, Sarah, and their son, Jason, and is proud of his adult daughter Cora, an engineer. He enjoys technology, problem-solving, and the wide-open landscapes of the Mountain West.\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e12 May 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032171443\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e207\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":45417783820428,"sku":"9783032171443","price":107.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032171443.jpg?v=1780597410","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032171443","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}