Journal
QUALITY OF LIFE RESEARCH
Volume 30, Issue 6, Pages 1715-1722Publisher
SPRINGER
DOI: 10.1007/s11136-021-02776-7
Keywords
Patient-centered outcomes; Patient-reported outcomes; Validity; Validity theory; Argument-based approach to validity; Reliability; Measurement; Psychometrics; Quality of life
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This article discusses the evolution of validity and validation concepts in the fields of education and psychology, introduces the argument-based approach, and proposes assumptions and types of evidence for research-related interpretations and uses of patient-reported outcome scores.
The past 100 years have witnessed an evolution of the meaning of validity and validation within the fields of education and psychology. Validity was once viewed as a property of tests and scales, but is now viewed as the extent to which theory and evidence support proposed interpretations and uses of test scores. Uncertainty about what types of validity evidence were needed motivated the current argument-based approach, as reflected in the 2014 Standards for Educational and Psychological Testing. According to this approach, investigators should delineate the assumptions required in order for a proposed interpretation or use to be plausible and then seek evidence that supports or refutes those assumptions. Though validation practices within the field of patient-reported outcome measurement have implicitly included many elements of the argument-based approach, the approach has yet to be explicitly adopted. To facilitate adoption, this article proposes an initial set of assumptions that might be included in most arguments for research-related interpretations and uses of scores from patient-reported outcome measures. The article also includes brief descriptions of the types of evidence that would be best suited for evaluating each assumption. It is hoped that these generic assumptions will stimulate further discussion and debate among quality of life researchers regarding how best to adopt modern validity theory to patient-reported outcome measures.
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