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Questionnaire discrimination: (re)-introducing coefficient δ

BACKGROUND: Questionnaires are used routinely in clinical research to measure health status and quality of life. Questionnaire measurements are traditionally formally assessed by indices of reliability (the degree of measurement error) and validity (the extent to which the questionnaire measures wha...

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Autor principal: Hankins, Matthew
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1884165/
https://www.ncbi.nlm.nih.gov/pubmed/17511862
http://dx.doi.org/10.1186/1471-2288-7-19
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author Hankins, Matthew
author_facet Hankins, Matthew
author_sort Hankins, Matthew
collection PubMed
description BACKGROUND: Questionnaires are used routinely in clinical research to measure health status and quality of life. Questionnaire measurements are traditionally formally assessed by indices of reliability (the degree of measurement error) and validity (the extent to which the questionnaire measures what it is supposed to measure). Neither of these indices assesses the degree to which the questionnaire is able to discriminate between individuals, an important aspect of measurement. This paper introduces and extends an existing index of a questionnaire's ability to distinguish between individuals, that is, the questionnaire's discrimination. METHODS: Ferguson (1949) [1] derived an index of test discrimination, coefficient δ, for psychometric tests with dichotomous (correct/incorrect) items. In this paper a general form of the formula, δ(G), is derived for the more general class of questionnaires allowing for several response choices. The calculation and characteristics of δ(G )are then demonstrated using questionnaire data (GHQ-12) from 2003–2004 British Household Panel Survey (N = 14761). Coefficients for reliability (α) and discrimination (δ(G)) are computed for two commonly-used GHQ-12 coding methods: dichotomous coding and four-point Likert-type coding. RESULTS: Both scoring methods were reliable (α > 0.88). However, δ(G )was substantially lower (0.73) for the dichotomous coding of the GHQ-12 than for the Likert-type method (δ(G )= 0.96), indicating that the dichotomous coding, although reliable, failed to discriminate between individuals. CONCLUSION: Coefficient δ(G )was shown to have decisive utility in distinguishing between the cross-sectional discrimination of two equally reliable scoring methods. Ferguson's δ has been neglected in discussions of questionnaire design and performance, perhaps because it has not been implemented in software and was restricted to questionnaires with dichotomous items, which are rare in health care research. It is suggested that the more general formula introduced here is reported as δ(G), to avoid the implication that items are dichotomously coded.
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spelling pubmed-18841652007-05-30 Questionnaire discrimination: (re)-introducing coefficient δ Hankins, Matthew BMC Med Res Methodol Research Article BACKGROUND: Questionnaires are used routinely in clinical research to measure health status and quality of life. Questionnaire measurements are traditionally formally assessed by indices of reliability (the degree of measurement error) and validity (the extent to which the questionnaire measures what it is supposed to measure). Neither of these indices assesses the degree to which the questionnaire is able to discriminate between individuals, an important aspect of measurement. This paper introduces and extends an existing index of a questionnaire's ability to distinguish between individuals, that is, the questionnaire's discrimination. METHODS: Ferguson (1949) [1] derived an index of test discrimination, coefficient δ, for psychometric tests with dichotomous (correct/incorrect) items. In this paper a general form of the formula, δ(G), is derived for the more general class of questionnaires allowing for several response choices. The calculation and characteristics of δ(G )are then demonstrated using questionnaire data (GHQ-12) from 2003–2004 British Household Panel Survey (N = 14761). Coefficients for reliability (α) and discrimination (δ(G)) are computed for two commonly-used GHQ-12 coding methods: dichotomous coding and four-point Likert-type coding. RESULTS: Both scoring methods were reliable (α > 0.88). However, δ(G )was substantially lower (0.73) for the dichotomous coding of the GHQ-12 than for the Likert-type method (δ(G )= 0.96), indicating that the dichotomous coding, although reliable, failed to discriminate between individuals. CONCLUSION: Coefficient δ(G )was shown to have decisive utility in distinguishing between the cross-sectional discrimination of two equally reliable scoring methods. Ferguson's δ has been neglected in discussions of questionnaire design and performance, perhaps because it has not been implemented in software and was restricted to questionnaires with dichotomous items, which are rare in health care research. It is suggested that the more general formula introduced here is reported as δ(G), to avoid the implication that items are dichotomously coded. BioMed Central 2007-05-18 /pmc/articles/PMC1884165/ /pubmed/17511862 http://dx.doi.org/10.1186/1471-2288-7-19 Text en Copyright © 2007 Hankins; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hankins, Matthew
Questionnaire discrimination: (re)-introducing coefficient δ
title Questionnaire discrimination: (re)-introducing coefficient δ
title_full Questionnaire discrimination: (re)-introducing coefficient δ
title_fullStr Questionnaire discrimination: (re)-introducing coefficient δ
title_full_unstemmed Questionnaire discrimination: (re)-introducing coefficient δ
title_short Questionnaire discrimination: (re)-introducing coefficient δ
title_sort questionnaire discrimination: (re)-introducing coefficient δ
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1884165/
https://www.ncbi.nlm.nih.gov/pubmed/17511862
http://dx.doi.org/10.1186/1471-2288-7-19
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