geometric data analysis
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2021 ◽  
pp. 003802612110201
Author(s):  
Will Atkinson

This article seeks to revisit the French social space 30 years after Pierre Bourdieu first mapped it in Distinction. Using data from the International Social Survey Programme, it deploys geometric data analysis to construct a model of the space of class positions that is remarkably similar in its structure to that presented by Bourdieu despite three decades of economic transformation. The relationship with occupational groups and geographical space is also familiar, though gender and, to a greater extent, age are perhaps more prominent than when Bourdieu was writing. The article then goes on to demonstrate the multidimensional nature of symbolic violence, in the form of perception of one’s place, and the manner in which social reproduction is misrecognised. On the latter point, it transpires that while there is recognition of unfair advantage, not only is faith in meritocracy the prevailing view but the dominated are the most likely to deny that having educated parents makes a difference to whether one ‘gets ahead’ or not.


Author(s):  
Amal Tawfik ◽  
Stephan Davidshofer

This chapter focuses on multiple correspondence analysis (MCA), which is a factor analysis statistical method used to analyse relations between a large set of categorical variables. Developed by Jean-Paul Benzécri in the early 1970s, MCA is one of the principal methods of geometric data analysis (GDA). Three different statistical methods can be identified as GDA: correspondence analysis (CA), which enables the cross-tabulation of two categorical variables; MCA for the analysis of a matrix of individuals and categorical variables; and principal component analysis (PCA), which uses numerical variables. In GDA, data is represented as a cloud of points to allow statistical interpretations. Although MCA is a relational method, it differs from social network analysis (SNA) as it focuses on the objective relations that characterize actors or groups, rather than the effective relations.


2020 ◽  
Vol 45 (s1) ◽  
pp. 814-840
Author(s):  
Jan Fredrik Hovden

AbstractThe media coverage of immigration serves as an important test for modern democracies’ ability to handle difficult public issues. Systematic and comparative studies over longer time periods are, however, still rare. This is deeply unfortunate as the nature of both immigration and the press systems vary considerably not only across nations but also over time. This article charts the immigration debate in seven Scandinavian newspapers from the birth of modern immigration in the early seventies to the present-day situation. While supporting claims about a general historical shift towards a more problematizing and cultural discourse in Scandinavia, the analysis also identifies major differences in how countries, publications, and genres have handled this complex issue, which brings out fundamental dilemmas for both modern welfare states and journalists. Using the method of multiple correspondence analysis and subsequent cluster analysis, the article also demonstrates how historical press coverage can be fruitfully studied using Geometric Data Analysis as an alternative to frequentist methods.


2019 ◽  
Author(s):  
Brigitte Le Roux ◽  
Solène Bienaise ◽  
Jean-Luc Durand

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