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Assessing Features of Psychometric Assessment Instruments: A Comparison of the COSMIN Checklist with Other Critical Appraisal Tools

Published online by Cambridge University Press:  07 December 2017

Ulrike Rosenkoetter  and
Robyn L. Tate
Ulrike Rosenkoetter
Affiliation:
John Walsh Centre for Rehabilitation Research, Kolling Institute of Medical Research, University of Sydney, New SouthWales, Australia
Robyn L. Tate*
Affiliation:
John Walsh Centre for Rehabilitation Research, Kolling Institute of Medical Research, University of Sydney, New SouthWales, Australia
*
Address for correspondence: Professor Robyn L. Tate, John Walsh Centre for Rehabilitation Research, University of Sydney, Level 9, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, New South Wales 2065, Australia. E-mail: robyn.tate@sydney.edu.au
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Abstract

The past 20 years have seen the development of instruments designed to specify standards and evaluate the adequacy of published studies with respect to the quality of study design, the quality of findings, as well as the quality of their reporting. In the field of psychometrics, the first minimum set of standards for the review of psychometric instruments was published in 1996 by the Scientific Advisory Committee of the Medical Outcomes Trust. Since then, a number of tools have been developed with similar aims. The present paper reviews basic psychometric properties (reliability, validity and responsiveness), compares six tools developed for the critical appraisal of psychometric studies and provides a worked example of using the COSMIN checklist, Terwee-m statistical quality criteria, and the levels of evidence synthesis using the method of Schellingerhout and colleagues (2012). This paper will aid users and reviewers of questionnaires in the quality appraisal and selection of appropriate instruments by presenting available assessment tools, their characteristics and utility.

Keywords

psychometricsCOSMINreporting guidelineevidence standardsinstrument development
Type
Articles
Information
Brain Impairment , Volume 19 , Special Issue 1: Quantitative Data Analysis; by Robyn Tate and Michael Perdices , March 2018 , pp. 103 - 118
Copyright
Copyright © Australasian Society for the Study of Brain Impairment 2017 

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