Geometric Data Analysis in a Social Science Research Program ...
Geometric Data Analysis in a Social Science Research Program ...
Geometric Data Analysis in a Social Science Research Program ...
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GDA<strong>in</strong>a<strong>Social</strong><strong>Science</strong><strong>Research</strong><strong>Program</strong>:TheCaseofBourdieu'sSociology 15<br />
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0:5StockCalmannLevyFayard FIGURE1.6 ThespaceofFrenchpublishers.Cloudof<strong>in</strong>dividuals<strong>in</strong>plane1-2(Bourdieu1999[9]). 1:0 LogicielsEyelid/LATEX-PsTricks 1:5 2:0<br />
Show<strong>in</strong>gstructuralhomologiesbetweendierenteldsorsocialspaces,whichhasto bebasedonappropriatestatisticalandsociological<strong>in</strong>terpretationsofaxes;<strong>Data</strong>Anal-<br />
Determ<strong>in</strong><strong>in</strong>gtherelativeautonomyofeldsorsocialspaces,whichrelatestothe tocumulateconverg<strong>in</strong>gordiverg<strong>in</strong>gresults; ysiscanbeseenhereasan<strong>in</strong>terpretativepracticewherestatisticalandsociological<br />
useofcomparisonproceduresandof"causal"sociologicalhypotheses,e.g.aboutthe commentsmustconverge.Thereisaneedformoresociologicalmeta-studies<strong>in</strong>order<br />
relationsbetweeneldsorspaces;<br />
<strong>in</strong>ghimselfLudovicLebartandothers,oneshouldadmitthat\statisticsdoesn'tExpla<strong>in</strong><strong>in</strong>gsocialpractices(e.g.positiontak<strong>in</strong>gs);toquoteHenryRouanetquot- (CSA)canbeanappropriate<strong>in</strong>strument(LeRoux&Rouanet2010[26]); Study<strong>in</strong>gsub{spaces<strong>in</strong>sideamoreglobalspace;forthispurpose,classspecicMCA<br />
didates"forsociologicalexplanation); Assess<strong>in</strong>gtheimportanceofvariouseects,especiallyeldeects;itcouldstillbe expla<strong>in</strong>anyth<strong>in</strong>g,butgivessomepossibleelementsofexplanation"(helpnd<strong>in</strong>g\can- verymuchdeveloped,giventhepossibilityofan<strong>in</strong>tegrationofVariance<strong>Analysis</strong>and Regressiontechniques<strong>in</strong>totheframeofGDA,moreappropriatetothecontextof observationaldata; Study<strong>in</strong>gthedynamicsofaeld;itcouldbeverymuchdevelopedthroughEuclidean classicationand/oranappropriateuseofsupplementaryelementsor,evenbetter, structur<strong>in</strong>gfactorsofthecloudof<strong>in</strong>dividuals.
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