Abstract
In psychological assessment of children, it is pivotal to establish from what age on self-reports can complement or replace informant reports. We introduce a psychometric approach to estimate the minimum age for a child to produce self-report data that is of similar quality as informant data. The approach makes use of statistical validity indicators such as person-fit and long-string indices, and can be readily applied to data commonly collected in psychometric studies of child measures. We evaluate and illustrate the approach, using self-report and informant-report data of the PedsQL, a pediatric health-related quality of life measure, from 651 child–mother pairs. To evaluate the approach, we tested various hypotheses about the validity of the self-report data, using the
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