{"product_id":"quantitative-social-science-an-introduction-pdf-version","title":"Quantitative Social Science: An Introduction (PDF - Version)","description":"\u003cp\u003e- Delivery by email. Can be DOWNLOAD IMMEDIATELY after purchasing.\u003cbr\u003e- PDF eBook eTextbook Only! NO Online Access. NO Physical Book, Can be read on any devices (Kindle, NOOK, Android\/IOS devices, Windows, MAC).\u003cbr\u003e- WE NOW ACCEPT CREDIT CARD, PAYPAL payments\u003cbr\u003e- If you need EPUB Version, please contact to us\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAn introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\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―or if they do, they usually end up in statistics classes that offer few insights into their field. 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.\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eQuantitative Social Science\u003c\/i\u003e\u003cspan\u003e \u003c\/span\u003eengages directly with empirical analysis, showing students how to analyze data using the R programming language and to 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.\u003c\/p\u003e\n\u003cp\u003eProven 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.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWritten especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science\u003c\/li\u003e\n\u003cli\u003eProvides hands-on instruction using R programming, not paper-and-pencil statistics\u003c\/li\u003e\n\u003cli\u003eIncludes more than forty data sets from actual research for students to test their skills on\u003c\/li\u003e\n\u003cli\u003eCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools\u003c\/li\u003e\n\u003cli\u003eFeatures a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises\u003c\/li\u003e\n\u003cli\u003eOffers a solid foundation for further study\u003c\/li\u003e\n\u003cli\u003eComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Kosuke Imai","offers":[{"title":"Default Title","offer_id":14304135446597,"sku":"9780691167039","price":23.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0037\/4623\/4437\/products\/978-0691167039.jpg?v=1537378037","url":"https:\/\/saporo-books.myshopify.com\/products\/quantitative-social-science-an-introduction-pdf-version","provider":"Saporo Books","version":"1.0","type":"link"}