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 w...

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Autor principal:	Debdulal Dutta Roy
Formato:	article
Lenguaje:	EN ES
Publicado:	Universidad de San Buenaventura 2010
Materias:	Paired t-statistic Hierarchical clustering complete linkage Dendograms Reading motivation Psychology BF1-990
Acceso en línea:	https://doaj.org/article/5c0768c4b2124809a4a10bbceee01283
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id	oai:doaj.org-article:5c0768c4b2124809a4a10bbceee01283
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spelling	oai:doaj.org-article:5c0768c4b2124809a4a10bbceee012832021-11-25T02:23:59ZCluster analysis for test-retest reliability10.21500/20112084.8582011-20842011-7922https://doaj.org/article/5c0768c4b2124809a4a10bbceee012832010-06-01T00:00:00Zhttps://revistas.usb.edu.co/index.php/IJPR/article/view/858https://doaj.org/toc/2011-2084https://doaj.org/toc/2011-7922Conventional 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.Debdulal Dutta RoyUniversidad de San BuenaventuraarticlePaired t-statisticHierarchical clusteringcomplete linkageDendogramsReading motivationPsychologyBF1-990ENESInternational Journal of Psychological Research, Vol 3, Iss 1 (2010)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	Paired t-statistic Hierarchical clustering complete linkage Dendograms Reading motivation Psychology BF1-990
spellingShingle	Paired t-statistic Hierarchical clustering complete linkage Dendograms Reading motivation Psychology BF1-990 Debdulal Dutta Roy Cluster analysis for test-retest reliability
description	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.
format	article
author	Debdulal Dutta Roy
author_facet	Debdulal Dutta Roy
author_sort	Debdulal Dutta Roy
title	Cluster analysis for test-retest reliability
title_short	Cluster analysis for test-retest reliability
title_full	Cluster analysis for test-retest reliability
title_fullStr	Cluster analysis for test-retest reliability
title_full_unstemmed	Cluster analysis for test-retest reliability
title_sort	cluster analysis for test-retest reliability
publisher	Universidad de San Buenaventura
publishDate	2010
url	https://doaj.org/article/5c0768c4b2124809a4a10bbceee01283
work_keys_str_mv	AT debdulalduttaroy clusteranalysisfortestretestreliability
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Cluster analysis for test-retest reliability

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