2018
DOI: 10.1007/s10862-018-9704-4
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Differences and Similarities in how Psychopathic Traits Predict Attachment Insecurity in Females and Males

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Cited by 19 publications
(20 citation statements)
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References 94 publications
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“…Thus, it may be the degree of severity—rather than different types—of impairments in ER propensities that matter for personality pathology, in line with recent dimensional models of personality disorders (Morey, 2017). If impairments in ER can be corroborated as a transdiagnostic factor underlying the expression of many personality disorders, including psychopathy, future research seems warranted to examine what distinguishes the different forms of personality pathology, for example, investigating ER in combination with early temperamental or basic personality dispositions (DeLisi & Vaughn, 2015; Lynam & Miller, 2015), as well as attachment disturbances (Walsh et al, 2018). Furthermore, these results may have important practical implications, as they suggest that psychopathic individuals may benefit from treatments aimed at improving ER skills.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, it may be the degree of severity—rather than different types—of impairments in ER propensities that matter for personality pathology, in line with recent dimensional models of personality disorders (Morey, 2017). If impairments in ER can be corroborated as a transdiagnostic factor underlying the expression of many personality disorders, including psychopathy, future research seems warranted to examine what distinguishes the different forms of personality pathology, for example, investigating ER in combination with early temperamental or basic personality dispositions (DeLisi & Vaughn, 2015; Lynam & Miller, 2015), as well as attachment disturbances (Walsh et al, 2018). Furthermore, these results may have important practical implications, as they suggest that psychopathic individuals may benefit from treatments aimed at improving ER skills.…”
Section: Discussionmentioning
confidence: 99%
“…Considering the strong support from the literature it is hypothesised that: 1) CU traits will manifest differently across genders with males reporting higher levels of CU traits compared to females (Ciucci et al, 2014;Fanti et al, 2018). 2) Avoidance and anxiety attachment dimensions are expected to be significantly associated with CU traits, however due to mixed findings (Blanchard & Lyons, 2016;Mack et al, 2011;Walsh et al, 2019), we do not hypothesise the direction of these associations or their relationships with genders. 3) Among parental factors, there is strong support that mothers are more influential figures so it is expected that maternal factors will contribute more than paternal factors in relation to CU traits in both genders (Bisby et al, 2017;Rothbaum & Weisz, 1994).…”
Section: The Current Studymentioning
confidence: 84%
“…Several retrospective studies indicate that participants scoring high on psychopathic traits and anxiety attachment dimension, recall problematic childhood environments; involving lack of affection and warmth, parental neglect or separation and severe punishment strategies used by caregivers (Frodi et al, 2001;Waller et al, 2019). Literature also supports that psychopathic traits, especially the affective dimension, is associated with avoidance attachment in both males and females (Walsh et al, 2019). However, it is still unclear whether anxiety or avoidance attachment has the greatest association with CU traits.…”
mentioning
confidence: 99%
“…To assure that there was invariance of measurement across the sexes, a strong invariance approach was used for the SEM (Walsh et al, 2019). Note, however, that the same substantive results were obtained when the SEMs were run separately for males and females.…”
Section: Data Analytic Overviewmentioning
confidence: 99%
“…Structural Equation Modeling (SEM) with robust maximum likelihood estimation was used to examine the associations between latent amygdala activation variables and Big Five, INT, and EXT scale scores. SEM is a rigorous statistical method that allows investigators to model the underlying latent variables (LVs) among a set of measures (e.g., amygdala activation) while also allowing the regression of relevant factors or scales (e.g., NEO, INT, EXT) onto the LVs (Walsh et al, 2019). SEM's advantages over classical test theory include modeling error separately from common variance, specifying clear item-to-factor relations, and yielding robust evidence of construct validity (Strauss & Smith, 2009).…”
Section: Data Analytic Overviewmentioning
confidence: 99%