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Document type:
Zeitschriftenartikel / Journal Article
Title:
Growth Mixture Models Outperform Simpler Clustering Algorithms When Detecting Longitudinal Heterogeneity, Even With Small Sample Sizes
Journal:
Structural Equation Modeling : A Multidisciplinary Journal
Volume:
22
Issue:
2
Year:
2015
Pages from - to:
264-275
Language:
Englisch
Keywords:
comparative simulation ; growth heterogeneity ; longitudinal clustering
Department:
Fakultät für Humanwissenschaften
Institute:
Department für Psychologie
Chair:
von Oertzen, Timo
Open Access yes or no?:
Nein / No
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