Turkish ASSIST: measuring university students’ approaches to learning statistics

Ayse Aysin Bilgin, Sitki Gozlu

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


    Evidence-based decision making has become one of the most valuable tools for any profession with the ease of accessing vast amounts of data due to developments in computing and data storage facilities. This is especially important for future generations in management positions. Undoubtedly statistics play an important role in enabling managers to base their decisions on valid available evidence, but if students do not acquire the skills to understand and evaluate them during courses in statistics, their ability to utilise this evidence may be limited. In this study we investigated the learning approaches of students in statistics who are studying towards a management science or management engineering degree in six Turkish universities using Turkish Approaches and Study Skills Inventory for Students (TASSIST) which is translated from English to Turkish. This paper presents an exploratory factor analysis for the validation of Turkish ASSIST.
    Original languageEnglish
    Title of host publicationSustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014)
    EditorsKatie Makar, Bruno de Sousa, Rod Gould
    Place of PublicationVoorburg, The Netherlands
    PublisherInternational Statistical Institute
    Number of pages6
    Publication statusPublished - 2014
    EventInternational Conference on Teaching Statistics (9th : 2014) - Arizona, USA
    Duration: 13 Jul 201418 Jul 2014


    ConferenceInternational Conference on Teaching Statistics (9th : 2014)
    CityArizona, USA


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