Validation of the Five-Factor Model Antagonistic Triad Measure

Rose, Leigha; Miller, Joshua D.; Lynam, Donald R.

doi:10.1177/10731911211068083

Cited by 15 publications

(8 citation statements)

References 84 publications

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“…In addition to circumventing problems with socially desirable responding, a more consistent use of FFM and HEXACO‐based measures can provide a pathway for the accumulation of dark triad research (cf. supra) and for the integration of dark triad research at work into the larger field of basic personality science (Rose et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

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Understanding dark side personality at work: Distinguishing and reviewing nonlinear, interactive, differential, and reciprocal effects

Wille

Heyde

Vergauwe

et al. 2022

Int J Selection Assessment

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The topic of dark side personality at work has received considerable research attention over the past decade, and both qualitative and quantitative reviews of this field have already been published. To show the relevance of dark personality in the work context, existing reviews have typically focused on systematically discussing the different criteria that have been linked to dark traits (e.g., job performance, work attitudes, leadership emergence, etc.). In contrast, and complementing this earlier work, the current review paper summarizes the available literature on this topic by structuring it in terms of the nature of the relationships studied rather than in terms of the types of outcome variables. Doing so, the focus shifts from "What are the outcomes of dark traits?" to "How are dark traits related to work outcomes?" Scrutinizing the nature of these relationships, we specifically focus on four types of effects (i.e., nonlinear, interactive, differential, and reciprocal) that highlight the complexity of how dark side traits operate in the work context. Structured this way, this review first provides a conceptual underpinning of each of these complex effects, followed by a summary of the empirical literature published over the past 10 years. To conclude, we present an integration of this field, provide suggestions for future research, and highlight concrete assessment challenges.

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Section: Discussionmentioning

confidence: 99%

“…Psychopathy is a multifaceted construct that comprises characteristic interpersonal, affective, and behavioral tendencies (Rose et al, 2022; Vergauwe et al, 2021). At the interpersonal level, psychopathy is associated with grandiosity, interpersonal dominance, and superficial charm.…”

Section: Dark Side Personality Defined and Delineatedmentioning

confidence: 99%

Understanding dark side personality at work: Distinguishing and reviewing nonlinear, interactive, differential, and reciprocal effects

Wille

Heyde

Vergauwe

et al. 2022

Int J Selection Assessment

View full text Add to dashboard Cite

show abstract

“…This approach resulted in the “five‐factor” version of Machiavellianism. Along with the Five Factor Narcissism Inventory and the Elemental Psychopathy Assessment, they are referred to as the Antagonistic Triad (Rose et al., 2022). However, these assessments (the Five‐Factor Machiavellianism in particular) includes a dizzying number of concepts, some of which negatively correlate with each other and contradict basic test theory (e.g., Embretson, 1996).…”

Section: Introductionmentioning

confidence: 99%

Data absence and a lack of parsimony: A response to Kay and Arrow's elemental Dark Triad

Andrews

Hanna

Flores-Robles

et al. 2023

Social & Personality Psych

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Arrow's (2022) recent Social and Personality Psychology Compass article, the same dubious attacks have also emerged elsewhere. We remind the field that although there are reasons to keep an eye on the overlap among the traits, the field of Dark Triad research is progressing well. Overwhelming evidence demonstrates that the traits are independent of one another-both theoretically and empirically. The bulk of concerns regarding Dark Triad overlap stem from Machiavellianism and psychopathy. However, it is critical to understand that Machiavellianism is a situationally contingent variable. Thus, misbehavior associated with Machiavellianism is dependent upon the environment (Jones & Mueller, 2021;Jones & Paulhus, 2017). Consequently, research on Machiavellianism that ignores contexts and situations (and instead relies on single timepoint, self-report surveys) creates distorted perceptions of the unique properties of Dark Triad traits. It is on this illusion that Kay and Arrow's (2022) criticisms rest. | Criticisms of the Dark TriadThe crux of Kay and Arrow's (2022) thesis is that traditional approaches to measuring the Dark Triad are flawed. They argue that the most logical model of dark personality should instead rely on an "elemental approach," which originates from the Big Five model of personality (Costa & McCrae, 1992). In particular, the authors claim that issues with the current state of the Dark Triad can be alleviated by breaking down the traits into smaller components. While addressing the multifaceted nature of personality traits can be worthwhile depending on the research question, Kay and Arrow's argument has three core problems: (1) too narrow of a discussion when comparing, and critiquing, the existing measures of the Dark Triad, (2) ignoring parsimony and practicality, and (3) failure to bolster the elemental approach via comparisons of relevant metrics. We next describe-and address-each of these issues in more detail.

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“…the correlated constructs of Machiavellianism, narcissism, and psychopathy. Rather than simulated population data, we treat as population data responses from a combined sample of respondents (N = 2,432) from four studies that included measures of the Dark Triad constructs and the five-factor model(Collison et al 2018, Rose et al 2022, Vize et al 2020a). Details about the sample and measures are provided in the supplement.Unlike in the first simulation, we do not manipulate the pattern of correlations between the variables of interest.…”

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confidence: 99%

The Questionable Practice of Partialing to Refine Scores on and Inferences About Measures of Psychological Constructs

Hoyle

Lynam

Miller

et al. 2023

Annual Review of Clinical Psychology

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Partialing is a statistical approach researchers use with the goal of removing extraneous variance from a variable before examining its association with other variables. Controlling for confounds through analysis of covariance or multiple regression analysis and residualizing variables for use in subsequent analyses are common approaches to partialing in clinical research. Despite its intuitive appeal, partialing is fraught with undesirable consequences when predictors are correlated. After describing effects of partialing on variables, we review analytic approaches commonly used in clinical research to make inferences about the nature and effects of partialed variables. We then use two simulations to show how partialing can distort variables and their relations with other variables. Having concluded that, with rare exception, partialing is ill-advised, we offer recommendations for reducing or eliminating problematic uses of partialing. We conclude that the best alternative to partialing is to define and measure constructs so that it is not needed. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 19 is May 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Validation of the Five-Factor Model Antagonistic Triad Measure

Cited by 15 publications

References 84 publications

Understanding dark side personality at work: Distinguishing and reviewing nonlinear, interactive, differential, and reciprocal effects

Understanding dark side personality at work: Distinguishing and reviewing nonlinear, interactive, differential, and reciprocal effects

Data absence and a lack of parsimony: A response to Kay and Arrow's elemental Dark Triad

The Questionable Practice of Partialing to Refine Scores on and Inferences About Measures of Psychological Constructs

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