Multivariate analysis of categorical data

著者

• Geer, J. P. van de (John P.)

書誌事項

Multivariate analysis of categorical data

John P. van de Geer

（Advanced quantitative techniques in the social sciences, 2-3）

Sage, c1993

• theory : [hardcover]
• applications : [hardcover]

注記

Includes bibliographical references (Applications, p. 116-119) and indexes

内容説明・目次

巻冊次

applications : [hardcover] ISBN 9780803945647

内容説明

A bonus is the insightful introduction by series editor Jan de Leeuw, putting applied statistics into perspective, blurring the somewhat artificial distinction between exploratory and confirmatory analysis. . . . Throughout the volume, strong attention is paid to the practical issues and to limitations of the analytical approaches (e.g., the effects of the number of categories within a variable on the resulting model). This seems especially useful, given that the intended audience includes 'nitty-gritty' users and less theoretically inclined readers. John P. Van de Geer is careful to head off the reader's temptation to base interpretation on the old 'the computer says it, so it must be right' routine, by pointing out easy but faulty conclusions, such as those that might result from interactions and confounding factors. --Elizabeth L. Rose in Structural Equation Modeling Quote for both books "The set would be appropriate for use in a graduate course, with guidance from an instructor who has expertise in this approach to multivariate analysis. The interested researcher will find the set to be very helpful, particularly in terms of developing a coherent and accurate interpretation of the results." --Elizabeth L. Rose in Structural Equation Modeling Nonlinear analysis of categorical variables, that is, a variable that can sort objects into a limited number of distinct groups called "categories" is a useful technique for social scientists, particularly for those who do survey research. This book introduces readers to the application of a particular approach to categorical analysis, the GIFI system or multiple correspondence analysis. Using illustrative examples from a variety of disciplines, Van de Geer shows how to perform these techniques using standard computer programs, such as SPSS. He explains when to use such programs as PRIMALS, HOMALS, ANACORS, PRINCALS, CANALS, and OVERALS, what conditions need to be met for effective use of each program, and how to interpret the results based on the use of each of these programs. Detailed examples are used throughout the book to enable readers to comprehend what is "going on behind" the computer program.

目次

PRIMALS HOMALS ANACOR PRINCALS CANALS OVERALS Some Conclusions

巻冊次

theory : [hardcover] ISBN 9780803945654

内容説明

Aimed at researchers and students interested in non-linear analysis of categorical variables, this book explains multivariate analysis geometrically rather than through the use of formal algebraic formulae. It first covers what the desirable properties of a geometric display should look like on the basis of classical analysis. Next, it discusses how these desirable properties can be enhanced by gradually eliminating the restrictions imposed by an a priori technique. The book goes on to explore such topics as the relation of principal components analysis, canonical analysis and generalized canonical analysis to one another, optimal quantification for one, two and three variables, and how many dimensions are needed for optimal quantification.

目次

General Concepts Classical Methods of Multivariate Analysis Principal Components Analysis Optimal Quantification Indicator Matrices Properties and Risks of Optimal Quantification Conclusions

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA20941887
• ISBN:
  • 0803945655
  • 0803945647
• LCCN: 93003706
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Newbury Park, Calif.
• ページ数/冊数: 2 v.
• 大きさ: 24 cm
• 分類:
  • LCC : QA278
  • DC20 : 519.5/35
• 件名:
  • LCSH : Multivariate analysis
• 親書誌ID:
  • BA14307479