Testing the equivalence of the aversive core of personality and a blend of agreeableness(-related) items.

OBJECTIVE: There is an ongoing debate in personality research whether the common core of aversive ("dark") traits can be approximated by or even considered equivalent to one of the constructs that have been labeled "Agreeableness". In particular, it has been suggested that the low pole of (what we term) AG+, a broad blend of Big Five Agreeableness and the HEXACO factors Honesty-Humility, Agreeableness, and Altruism, is essentially equivalent to the Dark Factor of Personality (D). Based on theoretical differences, we herein test empirically whether D and AG+ are isomorphic. METHODS: Self-report data on D, AG+, and eight criterion measures reflecting justifying beliefs, inflicting disutility on others, and affiliative tendencies were collected in a pre-registered study (N = 1156) and analyzed via confirmatory factor modeling. RESULTS: Results speak against unity of D and AG+ (35% shared variance) and support the notion that D subsumes a broader range of aversive content (i.e., justifying beliefs and inflicting disutility on others) than AG+, which, in turn, subsumes a slightly broader range of non-aversive, affiliative tendencies. CONCLUSION: We conclude that AG+ is non-equivalent to the common core of aversive traits, D.

Using the multidimensional nominal response model to model faking in questionnaire data: The importance of item desirability characteristics.

Faking in self-report personality questionnaires describes a deliberate response distortion aimed at presenting oneself in an overly favorable manner. Unless the influence of faking on item responses is taken into account, faking can harm multiple psychometric properties of a test. In the present article, we account for faking using an extension of the multidimensional nominal response model (MNRM), which is an item response theory (IRT) model that offers a flexible framework for modeling different kinds of response biases. Particularly, we investigated under which circumstances the MNRM can adequately adjust substantive trait scores and latent correlations for the influence of faking and examined the role of variation in the way item content is related to social desirability (i.e., item desirability characteristics) in facilitating the modeling of faking and counteracting its detrimental effects. Using a simulation, we found that the inclusion of a faking dimension in the model can overall improve the recovery of substantive trait person parameters and latent correlations between substantive traits, especially when the impact of faking in the data is high. Item desirability characteristics moderated the effect of modeling faking and were themselves associated with different levels of parameter recovery. In an empirical demonstration with N = 1070 test-takers, we also showed that the faking modeling approach in combination with different item desirability characteristics can prove successful in empirical questionnaire data. We end the article with a discussion of implications for psychological assessment.

The Dispositional Essence of Proactive Social Preferences: The Dark Core of Personality vis-à-vis 58 Traits.

Individuals differ in how they weigh their own utility versus others'. This tendency codefines the dark factor of personality (D), which is conceptualized as the underlying disposition from which all socially and ethically aversive (dark) traits arise as specific, flavored manifestations. We scrutinize this unique theoretical notion by testing, for a broad set of 58 different traits and related constructs, whether any predict how individuals weigh their own versus others' utility in proactive allocation decisions (i.e., social value orientations) beyond D. These traits and constructs range from broad dimensions (e.g., agreeableness), to aversive traits (e.g., sadism) and beliefs (e.g., normlessness), to prosocial tendencies (e.g., compassion). In a large-scale longitudinal study involving the assessment of consequential choices (median N = 2,270; a heterogeneous adult community sample from Germany), results from several hundred latent model comparisons revealed that no meaningful incremental variance was explained beyond D. Thus, D alone is sufficient to represent the social preferences inherent in socially and ethically aversive personality traits.

Rethinking aversive personality: Decomposing the Dark Triad traits into their common core and unique flavors.

OBJECTIVE: To explain and predict unethical behavior, much attention has been devoted to the "Dark Triad of Personality", a set of three socially aversive personality traits: Machiavellianism, narcissism, and psychopathy. Despite its popularity, research on the Dark Triad has been beset by recurring concerns surrounding the distinctiveness of its components. Herein, we propose an alternative theoretical view that conceptualizes the Dark Triad traits as specific manifestations of the common core of aversive traits (conceptualized as the Dark Factor of Personality, D) flavored by unique, essentially non-aversive characteristics. METHOD: In two studies (total N > 1000), we test this idea by examining the conceptual and empirical overlap and specificity of the Dark Triad traits vis-à-vis D and each other. RESULTS: Findings support the conceptualization of the Dark Triad traits as flavored manifestations of D and also reveal a marked discrepancy between the current conceptualization of the Dark Triad traits and the empirical structure of its subdimensions. In fact, evidence clearly failed to support the existence of a triad of traits. CONCLUSION: Conceptualizing single aversive traits as a conjunction of core D aspects and essentially non-aversive characteristics (admiration; disinhibition vs. planfulness; vulnerability vs. boldness) holds promise to move the field forward.

Cheating to benefit others? On the relation between Honesty-Humility and prosocial lies.

OBJECTIVE: Among basic personality traits, Honesty-Humility yields the most consistent, negative link with dishonest behavior. The theoretical conceptualization of Honesty-Humility, however, suggests a potential boundary condition of this relation, namely, when lying is prosocial. We therefore tested the hypothesis that the association between Honesty-Humility and dishonesty weakens once lying benefits someone else, particularly so if this other is needy. METHODS: In two online studies (Study 1: N = 775 in Germany; Study 2: N = 737 in the UK, preregistered), we measured self-reported Honesty-Humility and dishonest behavior in incentivized cheating paradigms in which the beneficiary of participants' dishonesty was either the participants themselves, a "non-needy" other (e.g., another participant), or a "needy" other (e.g., a charity). RESULTS: We found support for the robustness of the negative association between Honesty-Humility and dishonesty, even if lying was prosocial. CONCLUSION: Individuals high in Honesty-Humility largely prioritize honesty, even if there is a strong moral imperative to lie; those low in Honesty-Humility, by contrast, tend to lie habitually and thus even if they themselves do not directly profit monetarily. This suggests that (un)truthfulness may be an absolute rather than a relative aspect of Honesty-Humility, although further systematic tests of this proposition are needed.

Beyond (low) Agreeableness: Toward a more comprehensive understanding of antagonistic psychopathology.

In clinical psychopathology research, up to seven traits have been suggested as instances of antagonistic psychopathology. Those antagonistic traits, in turn, are commonly viewed as reflections of low Agreeableness as per the Big Five (BF-AG). However, specific theoretical differences between antagonistic traits suggest that other broad, basic dimensions beyond BF-AG ought to provide further points of correspondence. Specifically, whereas primarily affective antagonistic traits are closely aligned with BF-AG, primarily behavioral antagonistic traits are better aligned with Honesty-Humility (HH) from the HEXACO model and primarily cognitive antagonistic traits are better aligned with the common core of aversive traits (the Dark Factor of Personality, D). Indeed, from a theoretical perspective, D seems to be the only candidate sufficiently covering all aspects of antagonistic traits (affect, behavior, and cognition) to a comparable extent and thus affording a balanced representation of antagonistic psychopathology. We critically test these conjectures in a large and heterogeneous online sample (N = 3,396), investigating the overlap between antagonistic traits and basic personality via structural equation modeling. Results show that BF-AG, HH, and D each yield particularly strong ties to one group of antagonistic traits (affective, behavioral, and cognitive, respectively), while D offers the most balanced representation of all (groups of) antagonistic traits.

Measuring the Dark Core of Personality in German: Psychometric Properties, Measurement Invariance, Predictive Validity, and Self-Other Agreement.

The Dark Factor of Personality (D)-the underlying disposition of aversive traits-has been shown to account for various ethically and socially aversive behaviors. Whereas previous findings support the reliability and validity of the original English item sets suggested to measure D, a thorough psychometric examination of their German translation is still pending. Using data from four different samples (total N > 33,000), this study comprehensively evaluates the German version of the D70, D35, and D16 with respect to (a) their factor structure, (b) measurement invariance across gender, (c) measurement equivalence with the original English item sets, (d) predictive validity for relevant outcomes across a six-month period, and (e) self-observer agreement. Results confirm the bifactor structure of the D70 and single-factor models for the D35 and the D16. Measurement invariance testing shows partial strict invariance across gender and language versions. Furthermore, predictive validity and a moderate degree of self-other agreement are supported. The German version of the D70 and its shorter versions thus allow for a psychometrically sound assessment of D.

lab.js: A free, open, online study builder.

Web-based data collection is increasingly popular in both experimental and survey-based research because it is flexible, efficient, and location-independent. While dedicated software for laboratory-based experimentation and online surveys is commonplace, researchers looking to implement experiments in the browser have, heretofore, often had to manually construct their studies' content and logic using code. We introduce lab.js, a free, open-source experiment builder that makes it easy to build studies for both online and in-laboratory data collection. Through its visual interface, stimuli can be designed and combined into a study without programming, though studies' appearance and behavior can be fully customized using HTML, CSS, and JavaScript code if required. Presentation and response times are kept and measured with high accuracy and precision heretofore unmatched in browser-based studies. Experiments constructed with lab.js can be run directly on a local computer and published online with ease, with direct deployment to cloud hosting, export to web servers, and integration with popular data collection platforms. Studies can also be shared in an editable format, archived, re-used and adapted, enabling effortless, transparent replications, and thus facilitating open, cumulative science. The software is provided free of charge under an open-source license; further information, code, and extensive documentation are available from https://lab.js.org/ .

The dark core of personality and socially aversive psychopathology.

OBJECTIVE: Although dark traits as studied in mainstream personality research and socially aversive psychopathology as studied in abnormal psychology intend to account for the same classes of behavior, their degree of conceptual and, consequently, empirical correspondence has remained limited at best. We aim to overcome this divide by demonstrating clear convergence between the common core of all dark traits (the Dark Factor of Personality, D) and the four prominent instances of socially aversive psychopathology: narcissistic, antisocial, paranoid, and borderline tendencies. METHOD: In a large-scale, eight-month longitudinal study we assessed D, basic personality (the six HEXACO dimensions), and narcissistic, antisocial, paranoid, and borderline tendencies at time 1 (N = 2,329) and the latter aversive tendencies again at time 2 (N = 668) using different inventories. RESULTS: D predicted all instances of socially aversive psychopathology cross-sectionally and longitudinally, with a large effect size on average, beyond the six HEXACO dimensions and even beyond the very same instances (measured through a different inventory). CONCLUSIONS: Bridging mainstream personality and abnormal psychology, the findings reveal strong, theory-consistent correspondence between dark traits and socially aversive psychopathology once dark traits are viewed through the lens of their common core, D.

The HEXACO-100 Across 16 Languages: A Large-Scale Test of Measurement Invariance.

The HEXACO Personality Inventory-Revised (HEXACO-PI-R) has become one of the most heavily applied measurement tools for the assessment of basic personality traits. Correspondingly, the inventory has been translated to many languages for use in cross-cultural research. However, formal tests examining whether the different language versions of the HEXACO-PI-R provide equivalent measures of the 6 personality dimensions are missing. We provide a large-scale test of measurement invariance of the 100-item version of the HEXACO-PI-R across 16 languages spoken in European and Asian countries (N = 30,484). Multigroup exploratory structural equation modeling and confirmatory factor analyses revealed consistent support for configural and metric invariance, thus implying that the factor structure of the HEXACO dimensions as well as the meaning of the latent HEXACO factors is comparable across languages. However, analyses did not show overall support for scalar invariance; that is, equivalence of facet intercepts. A complementary alignment analysis supported this pattern, but also revealed substantial heterogeneity in the level of (non)invariance across facets and factors. Overall, results imply that the HEXACO-PI-R provides largely comparable measurement of the HEXACO dimensions, although the lack of scalar invariance highlights the necessity for future research clarifying the interpretation of mean-level trait differences across countries.

Nomological consistency: A comprehensive test of the equivalence of different trait indicators for the same constructs.

OBJECTIVE: Across all subfields of psychology, it is common practice to use different indicators of allegedly the same personality constructs, resting upon the (often implicit) assumption that the indicators measure equivalent constructs. However, there is a lack of approaches allowing for a strict and comprehensive test of the equivalence assumption. We propose investigating nomological consistency to test the equivalence assumption across inventories allegedly measuring the same set of constructs. Nomological consistency refers to the degree to which different indicators of constructs in a theoretical or structural model (such as the Big Five) show similar (non-)associations with a set of external criteria, thus testing the consistency of the nomological net spanned by different indicators. METHOD: In a large-scale study based on a convenience sample (N = 2,846; 64.9% female), we provide an empirical demonstration of nomological consistency across three commonly used Big Five inventories by comparing the pattern of associations of the Big Five constructs across inventories with five external criteria using a multifaceted analytic approach. RESULTS: Although results showed some level of consistency across the Big Five inventories under scrutiny, there was also a relevant extent of nomological inconsistency. CONCLUSIONS: Testing nomological consistency allows for a more conclusive judgment on the equivalence of different indicators across inventories.

The brighter the light, the deeper the shadow: Morality also fuels aggression, conflict, and violence.

We argue that, in addition to the positive effects and functionality of morality for interactions among in-group members as outlined in the target article, morality may also fuel aggression and conflict in interactions between morality-based out-groups. We summarize empirical evidence showing that negative cognitions, emotions, and behaviors are particularly likely to appear between out-groups with opposing moral convictions.

From information processing to decisions: Formalizing and comparing psychologically plausible choice models.

Decision strategies explain how people integrate multiple sources of information to make probabilistic inferences. In the past decade, increasingly sophisticated methods have been developed to determine which strategy explains decision behavior best. We extend these efforts to test psychologically more plausible models (i.e., strategies), including a new, probabilistic version of the take-the-best (TTB) heuristic that implements a rank order of error probabilities based on sequential processing. Within a coherent statistical framework, deterministic and probabilistic versions of TTB and other strategies can directly be compared using model selection by minimum description length or the Bayes factor. In an experiment with inferences from given information, only three of 104 participants were best described by the psychologically plausible, probabilistic version of TTB. Similar as in previous studies, most participants were classified as users of weighted-additive, a strategy that integrates all available information and approximates rational decisions.

Use of the recognition heuristic depends on the domain's recognition validity, not on the recognition validity of selected sets of objects.

According to the recognition-heuristic theory, decision makers solve paired comparisons in which one object is recognized and the other not by recognition alone, inferring that recognized objects have higher criterion values than unrecognized ones. However, success-and thus usefulness-of this heuristic depends on the validity of recognition as a cue, and adaptive decision making, in turn, requires that decision makers are sensitive to it. To this end, decision makers could base their evaluation of the recognition validity either on the selected set of objects (the set's recognition validity), or on the underlying domain from which the objects were drawn (the domain's recognition validity). In two experiments, we manipulated the recognition validity both in the selected set of objects and between domains from which the sets were drawn. The results clearly show that use of the recognition heuristic depends on the domain's recognition validity, not on the set's recognition validity. In other words, participants treat all sets as roughly representative of the underlying domain and adjust their decision strategy adaptively (only) with respect to the more general environment rather than the specific items they are faced with.

The statistical analysis of cheating paradigms.

One type of paradigm commonly used in studies on unethical behavior implements a lottery, relying on a randomization device to determine winnings while ensuring that the randomized outcome is only known to participants. Thereby, participants have the incentive and opportunity to cheat by anonymously claiming to have won. Data obtained in such a way are often analyzed using the observed "win" responses as a proxy for actual dishonesty. However, because the observed "win" response is contaminated by honest respondents who actually won, such an approach only allows for inferring dishonesty indirectly and leads to substantially underestimated effects. As a remedy, we outline approaches to estimate correlations between dishonesty and other variables, as well as to predict dishonesty in a modified logistic regression model. Using both simulated and empirical data, we demonstrate the superiority and relevance of the suggested methods.

Psynteract: A flexible, cross-platform, open framework for interactive experiments.

We introduce a novel platform for interactive studies, that is, any form of study in which participants' experiences depend not only on their own responses, but also on those of other participants who complete the same study in parallel, for example a prisoner's dilemma or an ultimatum game. The software thus especially serves the rapidly growing field of strategic interaction research within psychology and behavioral economics. In contrast to all available software packages, our platform does not handle stimulus display and response collection itself. Instead, we provide a mechanism to extend existing experimental software to incorporate interactive functionality. This approach allows us to draw upon the capabilities already available, such as accuracy of temporal measurement, integration with auxiliary hardware such as eye-trackers or (neuro-)physiological apparatus, and recent advances in experimental software, for example capturing response dynamics through mouse-tracking. Through integration with OpenSesame, an open-source graphical experiment builder, studies can be assembled via a drag-and-drop interface requiring little or no further programming skills. In addition, by using the same communication mechanism across software packages, we also enable interoperability between systems. Our source code, which provides support for all major operating systems and several popular experimental packages, can be freely used and distributed under an open source license. The communication protocols underlying its functionality are also well documented and easily adapted to further platforms. Code and documentation are available at https://github.com/psynteract/ .

The limited use of the fluency heuristic: Converging evidence across different procedures.

In paired comparisons based on which of two objects has the larger criterion value, decision makers could use the subjectively experienced difference in retrieval fluency of the objects as a cue. According to the fluency heuristic (FH) theory, decision makers use fluency-as indexed by recognition speed-as the only cue for pairs of recognized objects, and infer that the object retrieved more speedily has the larger criterion value (ignoring all other cues and information). Model-based analyses, however, have previously revealed that only a small portion of such inferences are indeed based on fluency alone. In the majority of cases, other information enters the decision process. However, due to the specific experimental procedures, the estimates of FH use are potentially biased: Some procedures may have led to an overestimated and others to an underestimated, or even to actually reduced, FH use. In the present article, we discuss and test the impacts of such procedural variations by reanalyzing 21 data sets. The results show noteworthy consistency across the procedural variations revealing low FH use. We discuss potential explanations and implications of this finding.

Dissociating Indifferent, Directional, and Extreme Responding in Personality Data: Applying the Three-Process Model to Self- and Observer Reports.

Research suggests that respondents vary in their tendency to use the response scale of typical (Likert-style) questionnaires. We study the nature of the response process by applying a recently introduced item response theory modeling procedure, the three-process model, to data of self- and observer reports of personality traits. The three-process model captures indifferent, directional, and extreme responding. Substantively, we hypothesize that, and test whether, trait Honesty-Humility is negatively linked to extreme responding. We applied the three-process model to personality data of 577 dyads (self- and observer reports of the HEXACO Personality Inventory-Revised; Lee & Ashton, ) of Dutch and German undergraduate respondents. First, we provide evidence that indifferent, directional, and extreme responding can be separated from each other in personality data through the use of the three-process model. Second, we show that the various response processes show a pattern of correlations across traits and rating sources which is in line with the idea that indifferent and extreme responding are person-specific tendencies, whereas directional responding is content-specific. Third, we report findings supporting the hypothesis that Honesty-Humility is negatively linked to extreme responding. In Likert-based personality data, applying the three-process model can unveil individual differences in the response process.

Reaction time effects in lab- versus Web-based research: Experimental evidence.

Although Web-based research is now commonplace, it continues to spur skepticism from reviewers and editors, especially whenever reaction times are of primary interest. Such persistent preconceptions are based on arguments referring to increased variation, the limits of certain software and technologies, and a noteworthy lack of comparisons (between Web and lab) in fully randomized experiments. To provide a critical test, participants were randomly assigned to complete a lexical decision task either (a) in the lab using standard experimental software (E-Prime), (b) in the lab using a browser-based version (written in HTML and JavaScript), or (c) via the Web using the same browser-based version. The classical word frequency effect was typical in size and corresponded to a very large effect in all three conditions. There was no indication that the Web- or browser-based data collection was in any way inferior. In fact, if anything, a larger effect was obtained in the browser-based conditions than in the condition relying on standard experimental software. No differences between Web and lab (within the browser-based conditions) could be observed, thus disconfirming any substantial influence of increased technical or situational variation. In summary, the present experiment contradicts the still common preconception that reaction time effects of only a few hundred milliseconds cannot be detected in Web experiments.