Isbn: 9780761911159 - applied correspondence analysis: an introduction (quantitative applications in the social sciences) (18 risultati)

Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This is a pamphlet. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,200grams, ISBN:9780761911159.

Condizione: New.

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Paperback. Condizione: Brand New. 1st edition. 69 pages. 8.75x5.75x0.25 inches. In Stock.

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paperback. Condizione: New. In shrink wrap. Looks like an interesting title.

Condizione: New. Print on Demand pp. 80.

Condizione: New. Print on Demand pp. 80 1st Edition.

Condizione: New. PRINT ON DEMAND pp. 80.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In the QUANTITATIVE APPLICATIONS IN THE SOCIAL SCIENCES series, an introduction to correspondence analysis which outlines the history and logic behind the technique. It explains the analysis of large contingency tables and survey data and compares correspon.…