Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32009
Title: Latent Class Evaluation in Educational Trials: What Percentage of Children Benefits from an Intervention?
Authors: Uwimpuhwe, Germaine
Singh, Akansha
Higgins, Steve
Coux, Mickael
Xiao, ZhiMin
SHKEDY, Ziv 
KASIM, Adetayo 
Issue Date: 2020
Publisher: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Source: JOURNAL OF EXPERIMENTAL EDUCATION, , 90(2), p. 404-418
Abstract: Educational stakeholders are keen to know the magnitude and importance of different interventions. However, the way evidence is communicated to support understanding of the effectiveness of an intervention is controversial. Typically studies in education have used the standardised mean difference as a measure of the impact of interventions. This measure, commonly known as the effect size, is problematic, in terms of how it is interpreted and understood. In this study, we propose a "gain index" as an alternative metric for quantifying and communicating the effectiveness of an intervention. This is estimated as the difference in the percentage of children who make positive gains between the intervention and control groups. Analysis of four randomized controlled trials in education supports the expectation that most children make progress due to normal school activities, which is independent of the intervention. This study elaborates a method to illustrate how trials with a positive gain index and with a higher percentage of pupils with positive gain in the intervention group can be used to communicate which trials are effective in improving educational outcomes.
Notes: Kasim, A (corresponding author), Univ Durham, Dept Anthropol, Durham, England.
a.s.kasim@durham.ac.uk
Other: Kasim, A (corresponding author), Univ Durham, Dept Anthropol, Durham, England. a.s.kasim@durham.ac.uk
Keywords: Gain index;effect size;mixture model;bayesian approach
Document URI: http://hdl.handle.net/1942/32009
ISSN: 0022-0973
e-ISSN: 1940-0683
DOI: 10.1080/00220973.2020.1767021
ISI #: WOS:000543935600001
Rights: 2020 The Author(s). Published with license by Taylor & Francis Group, LLC This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http:// creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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