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        Statische und longitudinale Zufriedenheitsmessung

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        Author(s)
        Weismayer, Christian
        Language
        German
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        Abstract
        Dieses Buch beschreibt eine Longitudinalstudie aus dem Bereich der Zufriedenheitsmessung. Auf Basis von Zufriedenheitsdaten bezüglich einzelner Serviceleistungsattribute von Kinos werden Eigenschaften, Auswirkung und Veränderung von Zufriedenheits- und Wichtigkeitsbewertungen gemessen. Ausgehend von der literaturbasierten Entwicklung unterschiedlicher Messmethodik im Zeitablauf, diente die Panelstudie vorwiegend dazu, Veränderungen von Zufriedenheitsmerkmalen zu messen. Ein buntes Sortiment unterschiedlicher quantitativer Herangehensweisen, wie Paarvergleiche, multiple Korrespondenzanalyse, Rasch-Modelle, Mehrebenenmodelle, latente Wachstumskurvenmodelle oder Markov-Kettenmodelle, zeigt longitudinale und vereinzelt auch statische Eigenschaften der Teilzufriedenheitsbewertungen auf.
        URI
        http://library.oapen.org/handle/20.500.12657/26862
        Keywords
        latente Wachstumskurvenmodelle; longitudinale; Markov-Kettenmodelle; Mehrebenenmodelle; multiple Korrespondenzanalyse; Rasch-Modelle; Statische; Weismayer; Zufriedenheitsmessung
        DOI
        10.3726/b13916
        ISBN
        9783631753965
        OCN
        1082998995
        Publisher
        Peter Lang International Academic Publishers
        Publisher website
        https://www.peterlang.com/
        Publication date and place
        Bern, 2018
        Series
        Forschungsergebnisse der Wirtschaftsuniversitaet Wien, 48
        Classification
        Sales and marketing management
        Market research
        Pages
        424
        Rights
        https://creativecommons.org/licenses/by/4.0/legalcode
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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