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The use of differential weighting and discounting in degree algorithms and their impact on classification inflation and equity: A further analysis

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  • David O Allen

    (University of the West of England, Bristol)

Abstract

This paper offers a critical analysis of how differential weighting and discounting in UK university degree algorithms are contributing to classification inflation. It shows that by their very nature the use of differential weighting and discounting favour one particular group of students whose mark attainment is relatively inconsistent. In this study, 20 different algorithms are applied to two sets of individual marks and those of a programme as a whole. In the case of the individual set of marks, the degree classification can be unaffected or can range from an upper second (62.25%) to a first (70.72%). For a programme including borderline adjustments the proportion of first class honours that could be awarded can range from 16% to 37%. In aggregate, 93 (44%) students in this sample (n = 211) receive a different degree classification depending on which of algorithm is applied or because of borderline adjustments.

Suggested Citation

  • David O Allen, 2018. "The use of differential weighting and discounting in degree algorithms and their impact on classification inflation and equity: A further analysis," Working Papers 20181803, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    • Handle: RePEc:uwe:wpaper:20181803
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    File URL: https://www2.uwe.ac.uk/faculties/BBS/BUS/Research/General/Economics-papers-2018/1803.pdf
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    References listed on IDEAS

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    1. David Allen, 2018. "Degree algorithms, grade inflation and equity: the UK higher education sector," Working Papers 20181801, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
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