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Multiple Correspondence Analysis. 多重対応分析
・ISBN 978-1-4129-6897-3 paper GB£ 40.99
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| 著者・編者 | Le Roux, Brigitte / Rouanet, H. |
|---|---|
| シリーズ | Quantitative Applications in the Social Sciences |
| 出版社 | (Sage, US) |
| 出版年月 | 2010 |
| ページ数 | 115 pp. |
| 言語 | ENG |
| ニュース番号 | ＜583-345 606-313＞ |
解説
Requiring 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 LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind.
Key Features
- Readers 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.
- The text uses real examples to help explain concepts.
- The authors stress the distinctive capacity of MCA to handle full-scale research studies.
This 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.