Answers are grounded in this paper and cite their sources.
Methodological analysis demonstrates score confidence intervals improve Aiken's item content-relevance index estimation, highlighting better precision during psychological scale development.
Item content-relevance is an important consideration for researchers when developing scales used to measure psychological constructs. Aiken (1980) proposed a statistic, V, that can be used to summarize item content-relevance ratings obtained from a panel of expert judges. This article proposes the application of the Score confidence interval to Aiken's V statistic to improve the inference of the unknown population value of V. The application of the Score confidence interval to V is described, a numerical example is provided, and a demonstration of the Score confidence interval is presented for ratings obtained in the development of a scale measuring life skills.
No takes yet. Share an insight, caveat, or question.
Penfield et al. (2004) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: