Cluster analysis for test-retest reliability
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Keywords

Paired t-statistic
Hierarchical clustering
complete linkage
Dendograms
Reading motivation

How to Cite

Dutta Roy, D. (2010). Cluster analysis for test-retest reliability. International Journal of Psychological Research, 3(1), 131–139. https://doi.org/10.21500/20112084.858

Abstract

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.
https://doi.org/10.21500/20112084.858
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