Since its emergence 14 years ago the dark triad (DT), composed of narcissism, psychopathy, and Machiavellianism, has become an increasingly popular research focus. Yet questions remain over whether the DT components are sufficiently distinct from another. We examined the nomological networks of each DT component through a meta-analysis of the available literature on the DT. We conducted 3 separate analyses-an examination of the average intercorrelations among the DT components ( = 156), an examination of similarities in each DT component's nomological network ( = 159), and an examination of the effect sizes between DT components and 15 outcome categories ( range = 7 to 42). Our results indicate that the nomological networks of psychopathy and Machiavellianism overlap substantially while narcissism demonstrated differential relations compared with psychopathy and Machiavellianism. These results remained relatively constant after controlling for DT assessment approach. We argue that the current literature on Machiavellianism may be better understood as a secondary psychopathy literature. Future directions for DT research are discussed in light of our meta-analytic results. (PsycINFO Database Record
Machiavellianism is characterized by planfulness, the ability to delay gratification, and interpersonal antagonism (i.e., manipulativeness and callousness). Although its theoretically positive relations with facets of Conscientiousness should help distinguish Machiavellianism from psychopathy, current measurements of Machiavellianism are indistinguishable from those of psychopathy in large part because of their assessment of low Conscientiousness. The goal of the present study was to create a measure of Machiavellianism that is more in line with theory using an expert-derived profile based on the 30 facets of the five-factor model (FFM) and then test the validity of that measure by comparing it with relevant constructs. Previously collected expert ratings of the prototypical Machiavellian individual on FFM facets yielded a profile of 13 facets including low Agreeableness and high Conscientiousness. Items were written to represent each facet, resulting in a 201-item Five Factor Machiavellianism Inventory (FFMI). Across 2 studies, with a total of 710 participants recruited via Mechanical Turk, the FFMI was reduced to its final 52-item form and was shown to relate as expected to measures of Big Five personality traits, current Machiavellianism measures, psychopathy, narcissism, ambition, and impulsivity. The FFMI is a promising alternative Machiavellianism measure. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Multivariate procedures (e.g. structural equation modelling) are essential to personality psychology, but interpretive difficulties can arise when examining the relations between residualized variables (i.e. the residual content of a variable after its overlap with other variables has been statistically controlled for) and outcomes of interest. These issues have been the focus of recent debate within the research literature on the Dark Triad, which is a collection of interrelated but theoretically distinct personality constructs made up of narcissism, Machiavellianism and psychopathy. The present paper highlights previous work on the issue of partialling and also makes use of recent developments surrounding meta‐analytic structural equation modelling to reliably assess the impact of partialling on the empirical profiles of the Dark Triad components. The results show that numerous interpretive difficulties arise after partialling the overlap among the Dark Triad components, most notably for narcissism and Machiavellianism. The results are discussed in the context of contemporary Dark Triad research in addition to discussing the implications for structural equation modelling methods in personality psychology more generally. Recommendations are made for how future research can mitigate the interpretive difficulties that may arise from partialling. Copyright © 2018 European Association of Personality Psychology
Introduction Little is known about influences on e-cigarette use among early adolescents. This study examined influences that have been previously found to be associated with gateway drug use in adolescents: demographic (age, gender, ethnicity, free lunch), social contextual influences of parents and peers, and executive function deficits (EF). Methods A cross-sectional survey was administered to 410 7th grade students from two diverse school districts in Southern California (M age=12.4 years, 48.3% female, 34.9% on free lunch (low socioeconomic status), 45.1% White, 25.4% Hispanic/Latino, 14.9% Mixed/bi-racial.) Logistic regression analyses examined influences of demographic, parent e-cigarette ownership and peer use, and EF on lifetime e-cigarette, and gateway drug use (cigarette and/or alcohol use). Results Lifetime use prevalence was 11.0% for e-cigarettes, 6.8% for cigarettes, and 38.1% for alcohol. Free lunch and age were marginally related to e-cigarette use (p<.10). Parent e-cigarette ownership was associated with use of all substances, while peer use was associated with gateway drug use (p’s<.05-.001). EF deficits were associated with use of all substances five times more likely than others to use e-cigarettes and over twice as likely to use gateway drugs. Conclusions E-cigarette and gateway drug use may have common underlying risk factors in early adolescence, including parent and peer modeling of substance use, as well as EF deficits. Future research is needed to examine longitudinal relationships of demographics, parent and peer modeling, and EF deficits to e-cigarette use in larger samples, trajectories of e-cigarette use compared to use of other substances, and the potential of EF skills training programs to prevent e-cigarette use.
The triarchic model of psychopathy proposes 3 distinct trait domains underlying psychopathy: boldness, meanness, and disinhibition. The original (and most widely used) measure developed from this model is the Triarchic Psychopathy Measure (TriPM), which yields a total psychopathy score as well as scores on each of the 3 domains. Recently, researchers have derived several alternative measures from other inventories to assess these 3 domains; however, the purported underlying 3-factor structure of the alternative scales has been relatively untested. In the present study, 431 participants completed the TriPM and its alternative measures via Amazon Mechanical Turk, and items within the scales were subjected to a series of factor analyses. For all measures, fit indices for a 3-factor solution showed poor fit and indicated that the optimal factor solutions ranged between 5 and 7 factors. In addition, although some of the factor scores from the 3-factor solutions appeared to map onto the a priori domains of boldness, meanness, and disinhibition, others were equally correlated with meanness and disinhibition. The current results demonstrate the factor structures of the TriPM and its alternative measures are more complex than the proffered 3-factor solution, which calls into question the extent to which these adequately represent the underlying triarchic model.
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