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Related Experiment Videos

How discriminating are discriminative instruments?

Matthew Hankins1

  • 1King's College London, Department of Psychology (at Guy's), Institute of Psychiatry, London, UK. m.c.hankins@bsms.ac.uk

Health and Quality of Life Outcomes
|May 29, 2008
PubMed
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This study proposes a new index to measure how well health status instruments distinguish between individuals. This discrimination index complements existing measures, improving the evaluation of health-related quality of life tools.

Area of Science:

  • Health Outcomes Research
  • Psychometrics
  • Health Services Research

Background:

  • The McMaster framework is the leading model for developing health status and health-related quality of life (HRQL) measures.
  • This framework categorizes instruments as evaluative, predictive, or discriminative.
  • While evaluative instruments require sensitivity to change (responsiveness), discriminative instruments lack a specific index for cross-sectional performance.

Purpose of the Study:

  • To argue that validity and reliability indices are insufficient for demonstrating an instrument's discriminative ability.
  • To propose augmenting the McMaster framework with a dedicated index for discrimination.
  • To introduce Ferguson's Delta coefficient as a suitable measure for HRQL instruments.

Main Methods:

Related Experiment Videos

  • Critically evaluating the sufficiency of existing measurement indices (validity, reliability) for discriminative instruments.
  • Adapting Ferguson's Delta coefficient for application to HRQL instruments.
  • Highlighting Delta as a direct, non-parametric measure of an instrument's ability to distinguish between individuals.
  • Main Results:

    • Validity and reliability alone do not adequately confirm an instrument's discriminative function.
    • Ferguson's Delta coefficient offers a practical and effective method for assessing discrimination in HRQL instruments.
    • The proposed index enhances the evaluation of discriminative tools within the McMaster framework.

    Conclusions:

    • The McMaster framework would benefit from incorporating a distinct index for discrimination.
    • Ferguson's Delta coefficient is a valuable tool for developing and evaluating discriminative HRQL instruments.
    • Further research is needed to clarify the interrelationships between discrimination, reliability, and responsiveness in measurement properties.