Loading…
Applying a Score Confidence Interval to Aiken's Item Content-Relevance Index
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 a...
Saved in:
Published in: | Measurement in physical education and exercise science 2004, Vol.8 (4), p.213-225 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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. |
---|---|
ISSN: | 1091-367X 1532-7841 |
DOI: | 10.1207/s15327841mpee0804_3 |