{"product_id":"an-introduction-to-correspondence-analysis-eric-j-beh-9781119041948","title":"An Introduction to Correspondence Analysis","description":"\u003cp\u003e\u003cb\u003eMaster the fundamentals of correspondence analysis with this illuminating resource\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAn Introduction to Correspondence Analysis\u003c\/i\u003e assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis. The accomplished academics and authors deliver a comprehensive and insightful treatment of the fundamentals of correspondence analysis, including the statistical and visual aspects of the subject.\u003c\/p\u003e \u003cp\u003eWritten in three parts, the book begins by offering readers a description of two variants of correspondence analysis that can be applied to two-way contingency tables for nominal categories of variables. Part Two shifts the discussion to categories of ordinal variables and demonstrates how the ordered structure of these variables can be incorporated into a correspondence analysis. Part Three describes the analysis of multiple nominal categorical variables, including both multiple correspondence analysis and multi-way correspondence analysis.\u003c\/p\u003e \u003cp\u003eReaders will benefit from explanations of a wide variety of specific topics, for example: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eSimple correspondence analysis, including how to reduce multidimensional space, measuring symmetric associations with the Pearson Ratio, constructing low-dimensional displays, and detecting statistically significant points\u003c\/li\u003e \u003cli\u003eNon-symmetrical correspondence analysis, including quantifying asymmetric associations\u003c\/li\u003e \u003cli\u003eSimple ordinal correspondence analysis, including how to decompose the Pearson Residual for ordinal variables\u003c\/li\u003e \u003cli\u003eMultiple correspondence analysis, including crisp coding and the indicator matrix, the Burt Matrix, and stacking\u003c\/li\u003e \u003cli\u003eMulti-way correspondence analysis, including symmetric multi-way analysis\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for researchers who seek to improve their understanding of key concepts in the graphical analysis of categorical data, \u003ci\u003eAn Introduction to Correspondence Analysis \u003c\/i\u003ewill also assist readers already familiar with correspondence analysis who wish to review the theoretical and foundational underpinnings of crucial concepts.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Eric J. Beh, Rosaria Lombardo\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1119041945\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781119041948\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 03\/29\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 240\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.27lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.61h x 6.69w x 0.56d","brand":"Eric J. Beh","offers":[{"title":"Hardcover","offer_id":43924141539583,"sku":"9781119041948","price":68.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/products\/img_106f175b-0f78-48f5-8b8c-b412c2899e59.jpg?v=1681068723","url":"https:\/\/www.whiterainbookhouse.com\/products\/an-introduction-to-correspondence-analysis-eric-j-beh-9781119041948","provider":"WR Book House","version":"1.0","type":"link"}