Aiken’s V Coefficient: Differences in Content Validity Judgments

 

Kaydedildi:
Detaylı Bibliyografya
Yazar: Merino-Soto, Cesar
Materyal Türü: texto
Durum:Versión publicada
Yayın Tarihi:2023
Diğer Bilgiler:Objective: When two independent groups of expert judges study content validity, a formal test of the differences between their judgments is required, since different content validity judgments can be obtained. But generally, content validity research does not examine this likely source of discrepancies. This report describes the implementation of a method to evaluate the difference in Aiken's V coefficients applied to research work in sports science. Methodology: The procedure applies an adaptation to construct the confidence interval of the difference between Aiken’s V coefficients and also implements a standardized estimator of the size of the difference between the V coefficients, specifically the arcsine transformation of V coefficients. Results: In a secondary data analysis framework, two examples are developed, extracting data from both publications, and the difference between the impressionist-based conclusion and the empirical-based conclusion and formal evaluation is demonstrated. Statistical differences not previously observed were detected. Conclusions and implications: The method to estimate differences in Aiken’s content validity coefficients for research allows an advance in the methodology to validate measurement instruments. The applicability of this procedure in the context of sports sciences and education sciences, as well as in the research design involved, is assessed.
Ülke:Portal de Revistas UNA
Kurum:Universidad Nacional de Costa Rica
Repositorio:Portal de Revistas UNA
Dil:Español
OAI Identifier:oai:ojs.www.una.ac.cr:article/15070
Online Erişim:https://www.revistas.una.ac.cr/index.php/mhsalud/article/view/15070
Anahtar Kelime:psychometric
psychological test
statistical analysis
validation studies
methodology
psicometría
test psicológico
análisis estadístico
estudio de validación
metodología
psicometria
teste psicológico
análise estatística
estudo de validação
metodologia