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Focus on psychometrics nursing intervention studies require outcome measures that are sensitive to change: Part one
Author(s) -
Stewart Barbara J.,
Archbold Patricia G.
Publication year - 1992
Publication title -
research in nursing and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 85
eISSN - 1098-240X
pISSN - 0160-6891
DOI - 10.1002/nur.4770150610
Subject(s) - discriminant validity , reliability (semiconductor) , psychometrics , intervention (counseling) , context (archaeology) , outcome (game theory) , psychology , internal consistency , consistency (knowledge bases) , clinical psychology , applied psychology , computer science , psychiatry , mathematics , artificial intelligence , paleontology , power (physics) , physics , mathematical economics , quantum mechanics , biology
In selecting an outcome measure for a study evaluating a nursing intervention, the criterion of sensitivity to change should predominate. Researchers commonly Justify their choice of outcome measures for experiments based on such psychometric criteria as high internal consistency reliability and patterns of correlations reflecting convergent and discriminant validity. Although such criteria are appropriate for measures to assess individual differences, they are insufficient when the measures will be used for intervention studies. Researchers may need to develop new measures that are tailored for experimental studies if existing measures are valid mainly for the assessment of individual differences. In this first portion of a two‐part article, three of seven factors to consider in selecting an outcome measure for an intervention study are outlined and recommendations for application of principles of reliability and validity in the context of sensitivity to change are given.

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