Abstract:
:The emergent interpersonal syndrome (EIS) approach conceptualizes personality disorders as the interaction among their constituent traits to predict important criterion variables. We detail the difficulties we have experienced finding such interactive predictors in our empirical work on psychopathy, even when using uncorrelated traits that maximize power. Rather than explaining a large absolute proportion of variance in interpersonal outcomes, EIS interactions might explain small amounts of variance relative to the main effects of each trait. Indeed, these interactions may necessitate samples of almost 1,000 observations for 80% power and a false positive rate of .05. EIS models must describe which specific traits' interactions constitute a particular EIS, as effect sizes appear to diminish as higher-order trait interactions are analyzed. Considering whether EIS interactions are ordinal with non-crossing slopes or disordinal with crossing slopes, or entail nonlinear threshold or saturation effects may help researchers design studies, sampling strategies, and analyses to model their expected effects efficiently.
journal_name
J Pers Disordjournal_title
Journal of personality disordersauthors
Benning SD,Smith EAdoi
10.1521/pedi.2019.33.5.623subject
Has Abstractpub_date
2019-10-01 00:00:00pages
623-632issue
5eissn
0885-579Xissn
1943-2763journal_volume
33pub_type
杂志文章,评审abstract::Ongoing research is shifting towards a dimensional understanding of borderline personality disorder (BPD). Aim of this study was to identify personality profiles in BPD that are predictive of self-destructive behaviors. Personality traits were assessed (n = 130) according to the five-factor model of personality (i.e.,...
journal_title:Journal of personality disorders
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journal_title:Journal of personality disorders
pub_type: 杂志文章,meta分析,评审
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journal_title:Journal of personality disorders
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pub_type: 评论,杂志文章
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pub_type: 历史文章,杂志文章
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pub_type: 杂志文章,meta分析,评审
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