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Measurement invariance techniques to enhance measurement sensitivity
Journal article   Open access   Peer reviewed

Measurement invariance techniques to enhance measurement sensitivity

Brian F French, W. Holmes Finch, Bruce Randel, Brian Hand and Chad M Gotch
International journal of quantitative research in education, Vol.3(1-2), pp.79-93
2016
DOI: 10.1504/IJQRE.2016.073672
url
https://doi.org/10.1504/IJQRE.2016.073672View
Published (Version of record) Open Access

Abstract

Rigorous evidence supporting the effectiveness of interventions is needed to inform teaching practice and improve educational outcomes. In many instances, gathering such evidence includes cluster randomised control trials estimating the effectiveness of educational treatments. Such studies often require the collection of data from large samples in order to accurately detect intervention effects. A failure to detect these effects could be due to the inability of the intervention to produce effects or due to a lack of measurement sensitivity to the intervention itself. The current study outlines a two-stage method for evaluating measurement sensitivity by first conducting content analysis to align items with hypothesised intervention effects, followed by the use of differential item functioning analyses to detect intervention effects more precisely, and thereby test for measurement sensitivity. Increasing measurement sensitivity could lead to increased effect sizes, increased statistical power, reduced sample sizes and reduced costs.
 DIF educational research teaching practice measurement invariance content analysis intervention effects educational outcomes randomised control trials measurement sensitivity differential item functioning

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