The Quantitative Analysis of Social Representations
Designed for undergraduate and postgraduate courses in sociology and social psychology, this textbook looks at the quantitative methodology of social representations research, using empirical and graphical illustrations and data tables.
1127964978
The Quantitative Analysis of Social Representations
Designed for undergraduate and postgraduate courses in sociology and social psychology, this textbook looks at the quantitative methodology of social representations research, using empirical and graphical illustrations and data tables.
250.0 In Stock
The Quantitative Analysis of Social Representations

The Quantitative Analysis of Social Representations

by Alain Clemence
The Quantitative Analysis of Social Representations

The Quantitative Analysis of Social Representations

by Alain Clemence

Hardcover

$250.00 
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Overview

Designed for undergraduate and postgraduate courses in sociology and social psychology, this textbook looks at the quantitative methodology of social representations research, using empirical and graphical illustrations and data tables.

Product Details

ISBN-13: 9781138468245
Publisher: Taylor & Francis
Publication date: 10/02/2017
Series: European Monographs in Social Psychology
Pages: 176
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

Authored by Clemence, Alain; Doise, Willem; Lorenzi-Cioldi, Fabio

Table of Contents

Part 1: Common Knowledge: Anutomatic Cluster Analysis . Automatic Cluster Analysis and Multidimensional Scaling. Correspondence Analysis - Interpretation of the Dimensions of the Social Representational Field. Statistical Structure and Objectification. Part 2: Shared Knowledge and Individual Positions: Three Basic Notions in the Multivariate Approach to Individual Differences. Factor Analysis. Multidimensional Scaling Analysis of Individual Differences. From Consensus to Individual Positioning. Part 3: Group Effects in Individual Positioning: Correspondence Analysis and the Study of Anchoring. Factor Scores. Automatic Interaction Detection. Discriminant Analysis. Correspondence Analysis of Textual Data. Status of Field Variations.
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