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Does eligibility requirements matter for academic achievements? A quasi-experimental retrospective study of students studying intermediate statistics

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Abstract

Student achievements are expected to be affected by both educational activities and learning during a course and previous teaching and learning, and earlier eligibility requirements. Using data from a quasi-experimental retrospective study, we estimated the effect on exam scores in an intermediate course in statistical theory from both earlier eligibility requirements, the realignment of a prerequisite course in introductory statistics and students’ characteristics. We found that success in intermediate statistics was explained by the realignment and eligibility requirements in Mathematics, and also by the intersection between gender and foreign background.

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  • Pettersson, Nicklas & Karlsson, Niklas & Andrén, Daniela, 2023. "Does eligibility requirements matter for academic achievements? A quasi-experimental retrospective study of students studying intermediate statistics," Working Papers 2023:1, Örebro University, School of Business.
    • Handle: RePEc:hhs:oruesi:2023_001
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    1. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    2. Sonja Greven & Thomas Kneib, 2010. "On the behaviour of marginal and conditional AIC in linear mixed models," Biometrika, Biometrika Trust, vol. 97(4), pages 773-789.
    3. Bruce A. Weinberg & Masanori Hashimoto & Belton M. Fleisher, 2009. "Evaluating Teaching in Higher Education," The Journal of Economic Education, Taylor & Francis Journals, vol. 40(3), pages 227-261, July.
    4. Kamila Danilowicz-Gösele & Katharina Lerche & Johannes Meya & Robert Schwager, 2017. "Determinants of students' success at university," Education Economics, Taylor & Francis Journals, vol. 25(5), pages 513-532, September.
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    More about this item

    Keywords

    statistics education; aligned course; eligibility requirements; academic evaluation; quasi-experimental retrospective design.;
    All these keywords.

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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