Cantitate/Preț
Produs

Applied Correspondence Analysis: An Introduction: Quantitative Applications in the Social Sciences, cartea 121

Autor Sten Erik Clausen
en Limba Engleză Electronic book text – 30 aug 1998
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.
Citește tot Restrânge

Din seria Quantitative Applications in the Social Sciences

Preț: 11420 lei

Precomandă

Puncte Express: 171

Nepublicat încă

Livrare prin curier în România Precomanda se expediază când titlul devine disponibil.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Doresc să fiu notificat când acest titlu va fi disponibil:

Specificații

ISBN-13: 9781452212258
ISBN-10: 1452212252
Pagini: 80
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

Introduction
The Essentials of Correspondence Analysis
A Simple Example
Analysis of Large Tables
Analysis of Multiple Response Tables and Survey Data
Correspondence Analysis and Log-linear Models
Conclusions

Descriere

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.