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Dogrusal Olmayan Kanonik Korelasyon Analizi Ile Istatistige Yonelik Tutumlarda Universite Ogrencileri Arasindaki Bireysel Farkliliklarin Incelenmesi

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Author Info

  • Asst.Prof. Nuray GIRGINER

    ()
    (Eskisehir Osmangazi Üniversitesi Iktisadi ve Idari Bilimler Fakültesi)

  • Res. Ass. Zeliha KAYGISIZ

    ()
    (Eskisehir Osmangazi Üniversitesi Iktisadi ve Idari Bilimler Fakültesi)

  • Res. Ass. Abdullah YALAMA

    ()
    (Eskisehir Osmangazi Üniversitesi Iktisadi ve Idari Bilimler Fakültesi)

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    Abstract

    The aim of this study is to investigate the relation between the demographic features and the attitude devoted to the statistics lesson of the students in departments of business administration, economics and public finance that will be able to effective on the socio- economic structure of our country in the future. By the purpose of measuring the attitude devoted to the statistics, Survey of Attitudes Towards Statistics and a demographic knowledge form prepared by the researchers are used in the stage of data collection. The Nonlinear Canonic Correlation Analyze is used for put forward the relation between the accomplishment note in the Statistics lesson, repetition number, repetition reason and the attitude devoted to the statistics lesson of the university students. In the conclusion of the analysis it was found that the variables of accomplishment note in the Statistics lesson, repetition number and repetition reason are perform on the attitudes of students toward the Statistics lesson.

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    File URL: http://eidergisi.istanbul.edu.tr/sayi6/iueis6m2.pdf
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    Bibliographic Info

    Article provided by Department of Econometrics, Faculty of Economics, Istanbul University in its journal Istanbul University Econometrics and Statistics e-Journal.

    Volume (Year): 6 (2007)
    Issue (Month): 1 (December)
    Pages: 29-40

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    Handle: RePEc:ist:ancoec:v:6:y:2007:i:1:p:29-40

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    Web page: http://eidergisi.istanbul.edu.tr
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    Related research

    Keywords: Attitude toward Statistics; Scale of Attitudes Toward Statistics (SATT); Nonlinear Canonic Correlation Analyze;

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