{"product_id":"9781412968973","title":"Multiple Correspondence Analysis","description":"\u003cp\u003eRequiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte Le Roux and Henry Rouanet, present the material in a practical manner, keeping the needs of researchers foremost in mind.\u003c\/p\u003e\u003cp\u003eKey Features\u003c\/p\u003e\u003cp\u003eReaders learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations. They also learn how to perform structured data analysis and to draw inferential conclusions from MCA.\u003c\/p\u003e\u003cp\u003eThe text uses real examples to help explain concepts.\u003c\/p\u003e\u003cp\u003eThe authors stress the distinctive capacity of MCA to handle full-scale research studies.\u003c\/p\u003e\u003cp\u003eThis supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers.\u003c\/p\u003e","brand":"SAGE Publications","offers":[{"title":"Default Title","offer_id":47064764285168,"sku":"9781412968973","price":18.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781412968973_p0.jpg?v=1763725007","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781412968973","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}