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[Configuration cluster analysis as an alternative to configuration frequency analysis].

Authors: G A, Lienert; A, von Eye;

[Configuration cluster analysis as an alternative to configuration frequency analysis].

Abstract

The paper discusses configural cluster analysis (CCA) as an alternative to configural frequency analysis (CFA). CFA defines types as deviations from the assumption of no interactions among the variables. CCA defines clusters as deviations from the stronger assumption of a total lack of effects, in the contingency table. Variations of CCA as aggregating CCA, hierarchical CCA, m-sample CCA, and CCA of profile shifts are discussed. An example analyzes data from research on depression.

Related Organizations
Keywords

Personality Tests, Depressive Disorder, Psychometrics, Cluster Analysis, Humans, Syndrome

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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