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What determines students’ study practices in higher education? An instrumental variable approach

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  • Alauddin, Mohammad
  • Ashman, Adrian
  • Nghiem, Son
  • Lovell, Knox

Abstract

University student populations in the developed world embody more personal, social, cultural, and intellectual diversity than their predecessors a quarter century ago. The existing literature is less clear about dimensions of students’ study practices and how variables that underpin this diversity shape them. This study fills this gap in three ways. First, it develops study practices questionnaire (SPrQ) and gathers student survey data from a leading Australian university. Second, factor analysis explores dimensions within the domain. Third, an econometric model incorporating university entry score as an instrumental variable (IV) investigates key determinants of the dimensions.

Suggested Citation

  • Alauddin, Mohammad & Ashman, Adrian & Nghiem, Son & Lovell, Knox, 2016. "What determines students’ study practices in higher education? An instrumental variable approach," Economic Analysis and Policy, Elsevier, vol. 51(C), pages 46-54.
    • Handle: RePEc:eee:ecanpo:v:51:y:2016:i:c:p:46-54
    DOI: 10.1016/j.eap.2016.05.006
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    References listed on IDEAS

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    1. Matteo Cervellati & Uwe Sunde, 2005. "Human Capital Formation, Life Expectancy, and the Process of Development," American Economic Review, American Economic Association, vol. 95(5), pages 1653-1672, December.
    2. Mohammad Alauddin & Adrian Ashman, 2014. "The changing academic environment and diversity in students study philosophy, beliefs and attitudes in higher education," Discussion Papers Series 511, School of Economics, University of Queensland, Australia.
    3. Andrew J. Martin & Rachel Wilson & Gregory Arief D. Liem & Paul Ginns, 2013. "Academic Momentum at University/College: Exploring the Roles of Prior Learning, Life Experience, and Ongoing Performance in Academic Achievement across Time," The Journal of Higher Education, Taylor & Francis Journals, vol. 84(5), pages 640-674, September.
    4. Mallik, Girijasankar & Shankar, Sriram, 2016. "Does prior knowledge of economics and higher level mathematics improve student learning in principles of economics?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 66-73.
    5. William E. Becker, 2004. "Economics for a Higher Education," International Review of Economic Education, Economics Network, University of Bristol, vol. 3(1), pages 52-62.
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    Cited by:

    1. Zhang, Dongyang & Zhao, Mengjiao & Wang, Yizhi & Vigne, Samuel A. & Benkraiem, Ramzi, 2024. "Technological innovation and its influence on energy risk management: Unpacking China’s energy consumption structure optimisation amidst climate change," Energy Economics, Elsevier, vol. 131(C).
    2. Tang, Tommy, 2023. "Approach to learning for assessment in economics," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 571-584.
    3. Tang, Tommy, 2019. "Perceptions of assessment demands in economics," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 80-90.

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    More about this item

    Keywords

    Student diversity; Study practices domain; Higher education; Factor analysis; Instrumental variable;
    All these keywords.

    JEL classification:

    • A2 - General Economics and Teaching - - Economic Education and Teaching of Economics
    • I2 - Health, Education, and Welfare - - Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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