Utvidet returrett til 31. januar 2025

Multivariate Analysis of Categorical Data: Applications

Om Multivariate Analysis of Categorical Data: Applications

Non-linear 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 those who do survey research. This book introduces the reader 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. The book explains when to use particular programs, 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. Detai

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780803945647
  • Bindende:
  • Hardback
  • Sider:
  • 144
  • Utgitt:
  • 25. august 1993
  • Dimensjoner:
  • 152x228x19 mm.
  • Vekt:
  • 400 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 27. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Multivariate Analysis of Categorical Data: Applications

Non-linear 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 those who do survey research. This book introduces the reader 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. The book explains when to use particular programs, 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. Detai

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