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Rudolf, Matthias [Author]; Buse, Johannes [Author]

Multivariate Verfahren

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  • Media type: Book
  • Title: Multivariate Verfahren : eine praxisorientierte Einführung mit Anwendungsbeispielen in SPSS
  • Contributor: Rudolf, Matthias [VerfasserIn]; Buse, Johannes [VerfasserIn]
  • imprint: Göttingen; Bern; Toronto; Seattle: Hogrefe, Verlag für Psychologie, [2004]
  • Extent: 331 Seiten; Illustrationen, Diagramme; 24 cm; 1 CD-ROM (12 cm)
  • Language: German
  • ISBN: 9783801717483; 3801717488
  • RVK notation: SK 850 : Angewandte Statistik, Tabellen
    ST 601 : Einzelne Systeme (alphabetisch)
    SK 840 : Spezielle statistische Verfahren
    QH 234 : Regression und Korrelation, Faktoren-, Komponenten-, Diskriminanzanalyse sowie sonstiger Methoden der mehrdimensionalen Analyse. Assoziation, Kontingenz, MOS, Kausalanalyse/Pfadanalyse/LISREL
    CM 4100 : Multivariate Analyse
    MR 2100 : Statistik für Soziologen
  • Keywords: Multivariate Analyse > SPSS
  • Origination:
  • Footnote: Literaturverzeichnis: Seiten 325-328
    CD-ROM-Beilage enthält: Arbeitsmaterialien
    Dateiformat der CD-ROM-Beilage: PDF
    CD-ROM-Beilage: Acrobat Reader
  • Description: Gut nachvollziehbar und anwendungsorientiert werden in diesem Buch multivariate Verfahren behandelt, die für die Auswertung empirischer Untersuchungen besonders wichtig sind. In jedem Kapitel werden zunächst die Grundlagen der Verfahren unter Verwendung kleiner Beispieldatensätze dargestellt. Anhand der gleichen Datensätze wird anschließend schrittweise die praktische Umsetzung der Verfahren in SPSS beschrieben. Für die Analyse linearer Strukturgleichungsmodelle wird AMOS verwendet. Zahlreiche Bildschirmausdrucke, Interpretationshilfen und eine lückenlose Darstellung der Analyseschritte ermöglichen das selbstständige Studium und die Anwendung der Verfahren auf eigene Fragestellungen. Leser, die mit SPSS oder AMOS nicht vertraut sind, werden in die notwendigen Grundlagen eingeführt. Alle im Text verwendeten Beispieldatensätze sind auf der beigefügten CD-ROM enthalten. Zusätzlich sind zu jedem Kapitel Datensätze, Auswertungen und Ergebnisinterpretationen aus aktuellen Forschungsprojekten enthalten. Die Themen der Praxisbeispiele reichen von arbeitspsychologischen bis hin zu epidemiologischen Untersuchungen. Folgende Verfahren werden behandelt: Regressionsanalyse, Varianzanalyse, Faktorenanalyse, Clusteranalyse, logistische Regressionsanalyse, Analyse loglinearer Modelle, Zeitreihenanalyse, Analyse linearer Strukturgleichungsmodelle

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