2018
DOI: 10.4135/9781526438690
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Deriving Psychopathy Subtypes Using Model-Based Cluster Analysis

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“…The current study used MBCA of the five NEO-PI-R domain scores (i.e., Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness). This type of analysis breaks down the sample into distinct subtypes (Falkenbach, Beltrani & Reinhard, 2018; Rapkin & Luke, 1993) based on patterns of scores across multiple measures. This analysis uses a goodness-of-fit index (see Fraley, 1998, for further details concerning the assumptions underlying the goodness-of-fit index) and the Bayesian Information Criterion (BIC) to objectively determine the number and parameters of each cluster (see Falkenbach, Beltrani, & Reinhard, 2018, for a review).…”
Section: Methodsmentioning
confidence: 99%
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“…The current study used MBCA of the five NEO-PI-R domain scores (i.e., Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness). This type of analysis breaks down the sample into distinct subtypes (Falkenbach, Beltrani & Reinhard, 2018; Rapkin & Luke, 1993) based on patterns of scores across multiple measures. This analysis uses a goodness-of-fit index (see Fraley, 1998, for further details concerning the assumptions underlying the goodness-of-fit index) and the Bayesian Information Criterion (BIC) to objectively determine the number and parameters of each cluster (see Falkenbach, Beltrani, & Reinhard, 2018, for a review).…”
Section: Methodsmentioning
confidence: 99%
“…This type of analysis breaks down the sample into distinct subtypes (Falkenbach, Beltrani & Reinhard, 2018; Rapkin & Luke, 1993) based on patterns of scores across multiple measures. This analysis uses a goodness-of-fit index (see Fraley, 1998, for further details concerning the assumptions underlying the goodness-of-fit index) and the Bayesian Information Criterion (BIC) to objectively determine the number and parameters of each cluster (see Falkenbach, Beltrani, & Reinhard, 2018, for a review). MBCA tests different models that vary by assumptions (amount of variability [size], strength of relationship [shape], and direction of relationship [orientation]).…”
Section: Methodsmentioning
confidence: 99%
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