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Geometric Data Analysis in a Social Science Research Program ...

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1.6Conclusion Bourdieuwasnotonlyconsciousoftheshortcom<strong>in</strong>gsofthedom<strong>in</strong>antquantitativemethods <strong>in</strong>socialsciences(especiallyregressionmethods),whichhediscoveredwithAla<strong>in</strong>Darbel geometricmodel<strong>in</strong>gofdata,whichhepractisedaround30years,fromthebeg<strong>in</strong>n<strong>in</strong>gofthe sented<strong>in</strong>termsofhypotheses,empiricaldataandresultsconrm<strong>in</strong>g|orfail<strong>in</strong>gtoconrm| asearlyas<strong>in</strong>the1960s.Heconsciouslyfoundanalternativetothesemethodswiththe 1970suntilthelate1990s. hypotheses.Neitherdidhealwaysclearlyseparatebetweensociologicalandstatistical<strong>in</strong>terpretations,nordidhecompletelyformalizehistheoryofeldsandhissociological<strong>in</strong>terpretationofstatisticalanalysis.Probably,thewayhisstatisticalpracticewas<strong>in</strong>tegrated<strong>in</strong>toBourdieudidnotapprovenorpracticetheusualrhetoricofscienticpublications,prethusiasticaboutthepossibilityoffuture<strong>in</strong>tegrationofregression<strong>in</strong>totheframeworkof mayndthistoregrettable. hissociologicalwrit<strong>in</strong>gdidnotencouragedialoguewithotherquantitativetraditionsand<br />

geometricdataanalysis. theclearunderstand<strong>in</strong>gofwhathedidfromastatisticalpo<strong>in</strong>tofview.Manyresearchers<br />

astrongempiricalsociologicalresearchprogram.<br />

ButBourdieuwasclearly<strong>in</strong>searchforageneralgeometricformalization;hewasen- Bourdieu'sadoptionofthegeometricmodel<strong>in</strong>gofdatahasthereforeopenedaspacefor

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