Measurement validity: essential in principle, subordinated in practice

Quality-of-life and health outcomes research relies on assessment instruments, such as self-report surveys and patient-reported outcome measures, to assess respondents' standing on latent psychological attributes and experiences, such as pain, fatigue, stress, emotional well-being, social participation, and perceived quality of life. Unlike physiological measures, which record bodily states through calibrated procedures, these instruments are used to infer respondents' standing on these attributes through respondents' interpretations of items, response options, and lived experience. Nevertheless, researchers often treat measurement validation of scores from these instruments as a routine psychometric step rather than as an argument for score-based interpretations and decisions. Motivated by recent papers by Hawkins et al. [1] and Gill et al. [2] in Quality of Life Research, it is argued that validity resides not in instruments themselves but in the evidential warrant for interpreting and using scores in specified contexts. Results of investigations of reliability, factor structure, and correlations can support this warrant. However, they cannot explain the meaning of the score or justify their use on their own. Argument-based validation requires researchers to specify interpretations, uses, assumptions, and relevant evidence, including consequences-especially when measures cross languages, cultures, populations, service systems, and policy contexts.