Applied Correspondence Analysis: An Introduction (Quantitative Applications in the Social Sciences)

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9780761911159: Applied Correspondence Analysis: An Introduction (Quantitative Applications in the Social Sciences)
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This volume provides readers with a simple, non-technical introduction to correspondence analysis (CA), a technique for summarily describing the relationships among categorical variables in large tables. It begins with the history and logic of CA. The author shows readers the steps to the analysis: category profiles and masses are computed, the distances between these points calculated and the best-fitting space of n-dimensions located. There are glossaries on appropriate programs from SAS and SPSS for doing CA and the book concludes with a comparison of CA and log-linear models.

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Book Description SAGE Publications Inc, United States, 1998. Paperback. Condition: New. New. Language: English . Brand New Book ***** Print on Demand *****.This volume provides readers with a simple and nontechnical introduction to correspondence analysis (CA), a technique for summarily describing the relationships among categorical variables in large tables. It begins with the history and logic of CA. The author shows readers the steps to the analysis: category profiles and masses are computed, the distances between these points calculated and the best-fitting space of n-dimensions located. There are glossaries on appropriate programs from SAS and SPSS for doing CA and the book concludes with a comparison of CA and log-linear models. Seller Inventory # AAV9780761911159

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Sten Erik Clausen
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Book Description SAGE Publications Inc, United States, 1998. Paperback. Condition: New. New. Language: English . Brand New Book ***** Print on Demand *****. This volume provides readers with a simple and nontechnical introduction to correspondence analysis (CA), a technique for summarily describing the relationships among categorical variables in large tables. It begins with the history and logic of CA. The author shows readers the steps to the analysis: category profiles and masses are computed, the distances between these points calculated and the best-fitting space of n-dimensions located. There are glossaries on appropriate programs from SAS and SPSS for doing CA and the book concludes with a comparison of CA and log-linear models. Seller Inventory # AAV9780761911159

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