Loughborough University
Browse

A quotient effect size for educational interventions

Download (1.2 MB)
journal contribution
posted on 2023-09-29, 12:55 authored by Colin FosterColin Foster
<p>This paper introduces a simple, quotient effect size, termed �� (for ‘quotient’), suitable for reporting on the effectiveness of educational interventions. The quotient effect size for a pre-test-post-test design is defined as the gain score (i.e., post-test minus pre-test) for the intervention group, divided by the gain score for the control group. This quotient effect size measure is easy to calculate and interpret, and, like Cohen’s ��, is scale-free. However, it achieves scale independence without acquiring the well-reported difficulties that arise with standardized effect sizes, such as Cohen’s ��, as a result of incorporating the standard deviation. Since the standard deviation is sensitive to many factors that are unrelated to ‘the effect’, Cohen’s �� is not a pure measure of ‘effect’. By contrast, the quotient effect size, ��, is dimensionless, without needing to involve the standard deviation, and is consequently intuitively easy to comprehend and communicate. For example, a �� of 1.2 would mean that the intervention group improved by 20% more than the control group did. This paper explores the advantages of using �� as an effect size for reporting on the effectiveness of educational interventions, as compared with Cohen’s ��, and addresses some possible objections.</p>

Funding

Centre for Early Mathematics Learning

Economic and Social Research Council

Find out more...

History

Related Materials

School

  • Science

Department

  • Mathematics Education Centre

Published in

International Journal of Research and Method in Education

Volume

46

Issue

5

Pages

528-537

Publisher

Taylor & Francis

Version

  • VoR (Version of Record)

Rights holder

© The Author

Publisher statement

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Acceptance date

2023-01-16

Publication date

2023-02-28

Copyright date

2023

ISSN

1743-727X

eISSN

1743-7288

Language

  • en

Depositor

Dr Colin Foster. Deposit date: 17 January 2023

Usage metrics

    Loughborough Publications

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC