{"product_id":"quantitative-social-science-an-introduction","title":"Quantitative Social Science: An Introduction","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eA textbook on data analysis and statistics for social science students, focusing on practical skills using R programming. It covers key concepts, includes real-world data sets, and offers additional exercises and teaching materials. \u003c\/blockquote\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 432 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 09 February 2018\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Princeton University Press\u003cbr\u003e\\n                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and interpret the results. It encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors.\u003cbr\u003e\u003cbr\u003eWritten especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science, this textbook provides hands-on instruction using R programming, not paper-and-pencil statistics. It includes more than forty data sets from actual research for students to test their skills on. Covering data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools, this textbook features a wealth of supplementary exercises, including case studies, simulations, and data visualization exercises.\u003cbr\u003e\u003cbr\u003eIn addition, the textbook includes a comprehensive glossary of statistical terms and a list of recommended resources for further study. Whether you are a social science student looking to enhance your research skills or a professional seeking to expand your knowledge of data analysis and statistics, this textbook is an invaluable resource.\u003c\/p\u003e\u003cp\u003e\\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 1118g\\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 260 x 189 x 31 (mm)\\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780691167039\\n                            \\n                          \u003c\/p\u003e","brand":"Kosuke Imai","offers":[{"title":"Hardback","offer_id":44101544313082,"sku":"9780691167039","price":80.92,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/18b67967cc14a86e2f7748528bba832c.jpg?v=1630116997","url":"https:\/\/shulphink.com\/products\/quantitative-social-science-an-introduction","provider":"Shulph Ink","version":"1.0","type":"link"}