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Fehlende Werte in der Marktforschung Problembehandlung und Diskussion

Fehlende Werte in der Marktforschung Problembehandlung und Diskussion

          
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About the Book

Studienarbeit aus dem Jahr 2004 im Fachbereich BWL - Marktforschung, Note: 1,7, Freie Universität Berlin (Marketing-Department), 17 Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: Die Marktforschung versucht das Entscheidungsproblem des Managements mit den ihr verfügbaren Instrumenten zu lösen und dabei möglichst vollständige Datensätze aus Primärforschung oder Deskresearch zu verwenden. Dies ist jedoch häufig unmöglich, auch wenn dasjenige Untersuchungsdesign verwendet wird, bei dem wenige Ausfälle vermutet werden. Bei der Auswahl des entsprechenden Erhebungsdesigns sollte man sich im Klaren über mögliche Ausfallursachen sein (Herrmann/Homburg, 2000, S.81ff). So kann in einem Interview falsches Verständnis der Frage, die Auskunftsunfähigkeit oder der Unwille zur Beantwortung der Frage zu fehlenden Werten führen. Vor allem Fragen zu Einkommen, Sexualverhalten oder Alkoholkonsum werden oft nicht beantwortet. So gibt es viele Datensätze in der Marktforschung, die unvollständig sind: In einem Panel von Horowitz und Golob (1979) waren bei 60% der 1565 Befragten 1% der Fragen unbeantwortet und bei 10% fehlten sogar 5% der Daten (Lehmann, 1989, S.369). Beim Vorkommen fehlender Werte muss man zunächst Klarheit über die Struktur des Ausfalls gewinnen, um die richtige Lösung, bzw. Korrektur anzuwenden. Im Rahmen der Strukturanalyse muss also zunächst untersucht werden, ob der zu Grunde liegende Ausfallmechanismus zufälliger Natur ist, oder ob ein systematischer Zusammenhang zu befürchten ist. Ein Ignorieren dieses Problems oder die Benutzung einer Ad-hoc-Lösung kann das Ergebnis verzerren. Denn die Anwendung der einfachsten und nicht zuletzt wohl deswegen beliebtesten Methode, der Dateneliminierung, ist nur unter einer sehr strikten Voraussetzung, nämlich dass der Datenausfall vollkommen zufällig ist, richtig. Außer der Dateneliminierung besteht noch u. A. die Möglichkeit der Vervollständigung der Daten mit Schätzwerten oder die direkte Schä


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Product Details
  • ISBN-13: 9783638769204
  • Publisher: Grin Publishing
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 2 mm
  • Width: 140 mm
  • ISBN-10: 3638769208
  • Publisher Date: 25 Aug 2007
  • Height: 216 mm
  • No of Pages: 28
  • Series Title: German
  • Weight: 50 gr


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