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Einige analytische Grundlagen der multidimensionalen Skalierung von Ordinaldaten
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dc.contributor.authorFeger, Hubertde
dc.contributor.editorBraun, Michaelde
dc.contributor.editorMohler, Peter Ph.de
dc.date.accessioned2016-11-24T15:40:31Z
dc.date.available2016-11-24T15:40:31Z
dc.date.issued2006de
dc.identifier.isbn978-3-924220-28-0de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/49167
dc.description.abstract"Ingwer Borg has contributed intensively and successfully to MDS, in theory and applications (e.g., Borg 1981a,b; Borg & Lingoes 1987; Roskam, Lingoes & Borg 1977). This paper offers some notes on the foundations of MDS, based on ranks of proximities. Two approaches are sketched, one working with contingencies of distance ranks, represented by boundaries in a dimensional space. The other approach uses the generalized betweenness relation, leading to configurations of object points. Details of the procedures and examples for both approaches are given for the one- and two-dimensional case. A procedure to find an optimal solution in a given dimensionality for data with random error is illustrated. The role of facet theory for theory testing by MDS is emphasized. Using the concepts of this paper will allow a fine-grained evaluation of a MDS solution for ordinal data." (author's abstract)en
dc.languageende
dc.relation.ispartof49674
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.titleSome analytical foundations of multidimensional scaling for ordinal datade
dc.title.alternativeEinige analytische Grundlagen der multidimensionalen Skalierung von Ordinaldatende
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.collectionBeyond the horizon of measurement: Festschrift in honor of Ingwer Borgde
dc.source.volume10de
dc.publisher.countryDEU
dc.publisher.cityMannheimde
dc.source.seriesZUMA-Nachrichten Spezial
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.subject.thesozErhebungsmethodede
dc.subject.thesozdata collection methoden
dc.subject.thesozDatende
dc.subject.thesozdataen
dc.subject.thesozDatenaufbereitungde
dc.subject.thesozdata preparationen
dc.subject.thesozDatenerfassungde
dc.subject.thesozdata acquisitionen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenorganisationde
dc.subject.thesozdata organizationen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozSkalierungde
dc.subject.thesozscalingen
dc.subject.thesozmultidimensionale Skalierungde
dc.subject.thesozmultidimensional scalingen
dc.identifier.urnurn:nbn:de:0168-ssoar-49167-7
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockincollectionde
dc.type.documentSammelwerksbeitragde
dc.type.documentcollection articleen
dc.source.pageinfo15-39de
internal.identifier.classoz10105
internal.identifier.document25
dc.contributor.corporateeditorGESIS-ZUMA
internal.identifier.corporateeditor138
internal.identifier.ddc300
dc.subject.methodsGrundlagenforschungde
dc.subject.methodsbasic researchen
dc.subject.methodsMethodenentwicklungde
dc.subject.methodsdevelopment of methodsen
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
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internal.identifier.methods8
internal.identifier.methods11
internal.identifier.pubstatus1
internal.identifier.review2
internal.identifier.series1106
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internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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