0000000001290580

AUTHOR

Mariagrazia Benassi

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Using Two-Step Cluster Analysis and Latent Class Cluster Analysis to Classify the Cognitive Heterogeneity of Cross-Diagnostic Psychiatric Inpatients

2020

The heterogeneity of cognitive profiles among psychiatric patients has been reported to carry significant clinical information. However, how to best characterize such cognitive heterogeneity is still a matter of debate. Despite being well suited for clinical data, cluster analysis techniques, like the Two-Step and the Latent Class, received little to no attention in the literature. The present study aimed to test the validity of the cluster solutions obtained with Two-Step and Latent Class cluster analysis on the cognitive profile of a cross-diagnostic sample of 387 psychiatric inpatients. Two-Step and Latent Class cluster analysis produced similar and reliable solutions. The overall result…

medicine.medical_specialtymedia_common.quotation_subjectTwo steplcsh:BF1-990Disease cluster050105 experimental psychologycognitive functioning03 medical and health sciences0302 clinical medicinemedicinePersonalityPsychology0501 psychology and cognitive scienceslatent class cluster analysisCognitive skillBipolar disorderPsychiatrypsychiatric inpatientsGeneral Psychologymedia_commonOriginal Research05 social sciencesCognitionmedicine.diseaseClass (biology)two-step cluster analysis latent class cluster analysis cognitive functioning psychiatric inpatients cluster analyseslcsh:PsychologySchizophreniacluster analysesPsychology030217 neurology & neurosurgerytwo-step cluster analysis
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