Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences

The aim of this paper is threefold: First, the criticism of quantitative methods raised by feminist and gender researchers is reiterated and illustrated using gender differences in job attribute preferences as an example. Second, the paper compares this ‘standard quantitative methods’ approach to G...

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Autor principal:	Claus D. Hansen
Formato:	article
Lenguaje:	DA EN NB SV
Publicado:	The Royal Danish Library 2017
Materias:	gender similarities critique of quantitative methods principal components analysis survey Social Sciences H
Acceso en línea:	https://doaj.org/article/6f6c612a3ec548eaadfb9baef8cdccd2
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spelling	oai:doaj.org-article:6f6c612a3ec548eaadfb9baef8cdccd22021-12-01T00:06:05ZGeometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences10.7146/kkf.v26i1.1097812245-6937https://doaj.org/article/6f6c612a3ec548eaadfb9baef8cdccd22017-09-01T00:00:00Zhttps://tidsskrift.dk/KKF/article/view/109781https://doaj.org/toc/2245-6937 The aim of this paper is threefold: First, the criticism of quantitative methods raised by feminist and gender researchers is reiterated and illustrated using gender differences in job attribute preferences as an example. Second, the paper compares this ‘standard quantitative methods’ approach to Geometric Data Analysis (GDA), an approach that e.g. makes use of principal components analysis. I argue that GDA breaks with many of the problematic features of traditional statistics by being multi-dimensional (as opposed to one-dimensional), having a statistical model formulated at the individual level (as opposed to treating individuals as mere ‘residuals’) and visualising the results (as opposed to just presenting the results exclusively in numbers). Third, the empirical analyses from the first part of the paper are then used as an example and analysed again, thereby introducing the basic concepts and principles which comprise GDA. Data used in the paper stem from the study Youth on the margin where a sample of young men and women from the North Denmark Region were asked to fill out a battery of job attribute preferences among other things. This is an important topic because such preferences are widely thought to be closely related to the continuing segregation of the Danish labour market. Claus D. HansenThe Royal Danish Libraryarticlegender similaritiescritique of quantitative methodsprincipal components analysissurveySocial SciencesHDAENNBSVKvinder, Køn & Forskning, Vol 26, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	DA EN NB SV
topic	gender similarities critique of quantitative methods principal components analysis survey Social Sciences H
spellingShingle	gender similarities critique of quantitative methods principal components analysis survey Social Sciences H Claus D. Hansen Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences
description	The aim of this paper is threefold: First, the criticism of quantitative methods raised by feminist and gender researchers is reiterated and illustrated using gender differences in job attribute preferences as an example. Second, the paper compares this ‘standard quantitative methods’ approach to Geometric Data Analysis (GDA), an approach that e.g. makes use of principal components analysis. I argue that GDA breaks with many of the problematic features of traditional statistics by being multi-dimensional (as opposed to one-dimensional), having a statistical model formulated at the individual level (as opposed to treating individuals as mere ‘residuals’) and visualising the results (as opposed to just presenting the results exclusively in numbers). Third, the empirical analyses from the first part of the paper are then used as an example and analysed again, thereby introducing the basic concepts and principles which comprise GDA. Data used in the paper stem from the study Youth on the margin where a sample of young men and women from the North Denmark Region were asked to fill out a battery of job attribute preferences among other things. This is an important topic because such preferences are widely thought to be closely related to the continuing segregation of the Danish labour market.
format	article
author	Claus D. Hansen
author_facet	Claus D. Hansen
author_sort	Claus D. Hansen
title	Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences
title_short	Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences
title_full	Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences
title_fullStr	Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences
title_full_unstemmed	Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences
title_sort	geometric data analysis (gda) - an alternative approach to the analyses of gender differences
publisher	The Royal Danish Library
publishDate	2017
url	https://doaj.org/article/6f6c612a3ec548eaadfb9baef8cdccd2
work_keys_str_mv	AT clausdhansen geometricdataanalysisgdaanalternativeapproachtotheanalysesofgenderdifferences
_version_	1718406146902982656

Geometric Data Analysis (GDA) - an alternative approach to the analyses of gender differences

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