Cluster analysis for test-retest Reliability

Conventional statistical model for assessing test-retest reliability of questionnaire is to compare composite scores of matched subtests or items between periods. Current study examined test-retest reliability in terms of both subtest and item wise comparison through paired t-test statistics. Data were collected from 72 students twice within 8 months intervals using reading motivation questionnaire (Dutta Roy, 2003). The questionnaire includes 3 intrinsic (rApp, rKnow,rAch) and 4 extrinsic (rAes, rRecog, rAff and rHarm) reading motivation subtests. Finding inconsistency between both subtest and item wise comparison, I propose a model of clustering items between periods. Hierarchical clustering with complete linkage shows that more than 55% of both test and retest items are assembled in the primary cluster suggesting high test retest reliability among 6 reading motivation variables.

• Autores: Dutta Roy, Debdulal
• Fecha de publicación: 2010
• Institución: Universidad de San Buenaventura
• Repositorio: Repositorio USB
• Idioma: spa
• OAI Identifier: oai:bibliotecadigital.usb.edu.co:10819/6504
• Acceso en línea: http://hdl.handle.net/10819/6504
• Palabra clave: Paired t-statistic; Hierarchical clustering; Complete linkage; Dendograms; Reading motivation; Prueba t pareada; Análisis jerárquico de conglomerados; Agrupamiento por ligamiento completo; Dendogramas; Motivación para la lectura; Estadística; Motivación (psicología); Investigación cuantitativa
• License: Atribución-NoComercial-SinDerivadas 2.5 Colombia