Binding: Paperback
Description: Multiple correspondence analysis (MC a) is a statistical technique that first and foremost has become known through the work of the late Pierre Bourdieu (1930 2002). This book will introduce readers to the fundamental properties procedures and rules of interpretation of the most commonly used forms of correspondence analysis. The book is written as a non - technical introduction intended for the advanced undergraduate level and onwards. MC a represents and models data sets as clouds of points in a multidimensional Euclidean space. The interpretation of the data is based on these clouds of points. In seven chapters this non - technical book will provide the reader with a comprehensive introduction and the needed knowledge to do analyses on his/her own: C a MC a specific MC a the integration of MC a and variance analysis of MC a and ascending hierarchical cluster analysis and class - specific MC a on subgroups. Special attention will be given to the construction of social spaces to the construction of typologies and to group internal oppositions. This is a book on data analysis for the social sciences rather than a book on statistics. The main emphasis is on how to apply MC a to the analysis of practical research questions. It does not require a solid understanding of statistics and/or mathematics and provides the reader with the needed knowledge to do analyses on his/her own.
Title: Multiple Correspondence Analysis For The Social Sciences
Author(s): Hjellbrekke Johs.
Publisher: Taylor & Francis Ltd
Barcode: 9781138699717
Pages: 118 Pages, 32 Tables, Black And White; 44 Line Drawings, Black And White; 44 Illustrations, Black An
Publication Date: 6/27/2018
Category: Probability & Statistics