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Brusco, Michael J.; Steinley, Douglas – Psychological Methods, 2006
The study of confusion data is a well established practice in psychology. Although many types of analytical approaches for confusion data are available, among the most common methods are the extraction of 1 or more subsets of stimuli, the partitioning of the complete stimulus set into distinct groups, and the ordering of the stimulus set. Although…
Descriptors: Stimuli, Multivariate Analysis, Psychology, Data
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van der Kloot, Willem A.; Spaans, Alexander M. J.; Heiser, Willem J. – Psychological Methods, 2005
Hierarchical agglomerative cluster analysis (HACA) may yield different solutions under permutations of the input order of the data. This instability is caused by ties, either in the initial proximity matrix or arising during agglomeration. The authors recommend to repeat the analysis on a large number of random permutations of the rows and columns…
Descriptors: Multivariate Analysis, Reliability, Goodness of Fit, Data Analysis