Taking an elemental approach to the conceptualization and measurement of Machiavellianism,narcissism, and psychopathy

The study of aversive or ‘dark’ personality traits (e.g., Machiavellianism, narcissism, and psychopathy) is afflicted by three types of issues. Measures of aversive traits that are meant to assess the same traits often capture different content—an issue of jingle. Measures that are meant to assess different traits often capture near-identical content—an issue of jangle. Finally, disagreement over what unites aversive personality traits leads to different conclusions about what is and is not an aversive personality trait—an issue of conceptual centrality. This study outlines how decomposing personality traits into smaller elements can address these three issues. It also provides a primer on the history and assessment of these traits and sets an agenda for future research.     

The Genetic Overlap and Distinctiveness of Flourishing and the Big Five Personality Traits

The growing evidence that subjective well-being (SWB) produces an array of beneficial outcomes has increased requests for recommendations on how to promote it. Evidence that all of SWB’s genetic variance overlaps with personality led to the strong claim that it is a ‘personality thing’ and that personality is the strongest predictor of SWB. However, studies do not include a comprehensive assessment that reflects eudaimonic as well as hedonic SWB. We revisit the question of SWB’s complete overlap with personality employing the tripartite model—emotional, psychological, and social—of SWB that, together, reflect Keyes’ (2002) model of flourishing. Data are from the Midlife in the United States national sample of 1,386 twins. Analyses were done using Mx to test Cholesky decomposition models and a two latent factor common pathway model. One-third of the total (72 %) heritability of flourishing and 40 % of its environmental variability are distinct from the big-five personality traits. We also find a low phenotypic association (mean r = .22) between the three dimensions of SWB and big-five personality traits despite substantial shared genetic etiology. In addition to non-trivial amounts of distinctive genetic and environmental variance and low phenotypic correlation, we point to limited investigation of reciprocal causation of SWB and personality. Psychologist should not yet conclude that SWB is a ‘personality thing’ anymore than personality might be a ‘well-being thing’.     

Modes and models in anxiety

Abstract

To examine within the realm of emotion the correspondences between personality models and classes of procedures for measuring individuality, a study was conducted in which self-rated anxiety, observations of anxious behaviors, and psychophysiological processes were recorded in multiple situations. Twenty-eight first-year psychology students participated in this study. For the specification of the basic concepts of personality a methodology is presented that is built on generalizability theory. Evidence is offered for a strong method-specificity of current personality models. Furthermore, the multimethod study revealed an absence of substantial multimode correlations.     

The personality systems framework: Current theory and development

The personality systems framework is a fieldwide outline for organizing the contemporary science of personality. I examine the theoretical impact of systems thinking on the discipline and, drawing on ideas from general systems theory, argue that personality psychologists understand individuals’ personalities by studying four topics: (a) personality’s definition, (b) personality’s parts (e.g., traits, schemas, etc.), (c) its organization and (d) development. This framework draws on theories from the field to create a global view of personality including its position and major areas of function. The global view gives rise to new theories such as personal intelligence—the idea that people guide themselves with a broad intelligence they use to reason about personalities.     

A note on computing Louis’ observed information matrix identity for IRT and cognitive diagnostic models

Using Louis’ formula, it is possible to obtain the observed information matrix and the corresponding large-sample standard error estimates after the expectation–maximization (EM) algorithm has converged. However, Louis’ formula is commonly de-emphasized due to its relatively complex integration representation, particularly when studying latent variable models. This paper provides a holistic overview that demonstrates how Louis’ formula can be applied efficiently to item response theory (IRT) models and other popular latent variable models, such as cognitive diagnostic models (CDMs). After presenting the algebraic components required for Louis’ formula, two real data analyses, with accompanying numerical illustrations, are presented. Next, a Monte Carlo simulation is presented to compare the computational efficiency of Louis’ formula with previously existing methods. Results from these presentations suggest that Louis’ formula should be adopted as a standard method when computing the observed information matrix for IRT models and CDMs fitted with the EM algorithm due to its computational efficiency and flexibility.     

Child’s Personality and Perception of Parental Relationship as Correlates of Optimal Experience

The study was designed to assess the influence of child’s personality and perception of parental relationship on children’s optimal experiences. We proposed functional and dysfunctional models to analyze the increase or the decrease of the children’s flow experience. The sample of this study included 909 middle class children, aged 9–12 (M = 11.02, SD = 1.08), both sexes, from Argentina. When we analysed the psychological factors that could be related to the flow state in childhood, we found out that the child’s perception of a functional parental relationship, in which there is either acceptance or moderate control, indirectly affects the flow experience, through child’s personality—extraversion, openness to experience, and conscientiousness. Functional personality traits have an important positive effect on optimal experience when they are considered as a unit. In the dysfunctional model of flow, the results showed that the child’s perception of parental pathological control had an important positive effect on neuroticism and –through this—a negative effect on flow. The child’s perception of parental negligence did not have a significant effect on neuroticism; however, neuroticism still maintained its negative effect on flow.     

A pluralistic framework for counselling and psychotherapy: Implications for research

Historically, training, research and practice in counselling and psychotherapy have been dominated by unitary theoretical models. Although integrative and eclectic positions have been developed as alternatives, these have not been successful in generating research and have resulted in a further proliferation of competing models. In this paper we introduce a ‘pluralistic’ framework for counselling and psychotherapy and discuss the implications of this framework for research. The basic principle of this pluralistic framework is that psychological difficulties may have multiple causes and that there is unlikely to be one, ‘right’ therapeutic method that will be appropriate in all situations—different people are helped by different processes at different times. This pluralistic framework operates as a meta‐theory within which it is possible to utilise concepts, strategies and specific interventions from a range of therapeutic orientations. The framework is structured around three domains—goals, task and methods—by which therapeutic processes can be conceptualised, critically examined and empirically investigated. These domains, and the relationships between them, are outlined and the collaborative relationship at the heart of the pluralistic framework is discussed. The pluralistic framework provides a means for empirical research directly to inform practice and potential lines of empirical inquiry are outlined, along with findings from a recent study of counselling in schools.     

Signal Detection Models with Random Participant and Item Effects

The theory of signal detection is convenient for measuring mnemonic ability in recognition memory paradigms. In these paradigms, randomly selected participants are asked to study randomly selected items. In practice, researchers aggregate data across items or participants or both. The signal detection model is nonlinear; consequently, analysis with aggregated data is not consistent. In fact, mnemonic ability is underestimated, even in the large-sample limit. We present two hierarchical Bayesian models that simultaneously account for participant and item variability. We show how these models provide for accurate estimation of participants’ mnemonic ability as well as the memorability of items. The model is benchmarked with a simulation study and applied to a novel data set. This research is supported by NSF grants SES-0095919 and SES-0351523, NIH grant R01-MH071418, a University of Missouri Research Leave grant and fellowships from the Spanish Ministry of Education and the University of Leuven, Belgium.     

Leadership perceptions,gender, and dominant personality: The role of normality evaluations

Individuals with dominant personality tend to be perceived as leaders, but theory suggests the dominance advantage for leadership might depend upon gender. Role congruity theory (Eagly & Karau, 2002) holds that gender role-incongruence (i.e., dominant personality traits among women) can be a liability, which we propose produces a dominance-gender interaction effect on leadership perceptions. We extend this theory by proposing and testing a novel conceptual mediator of the role congruity effect—perceived normality. Results show dominance predicts perceived transformational leadership, but only for men. This role congruity interaction effect is then explained by perceived normality (mediated moderation). The conditional indirect effect of dominance on leadership through perceived normality is positive for men, but negative for women—consistent with role congruity theory.     

Personality and stress

Recent years have witnessed an upsurge of interest in how personality affects the stress process. This paper reports on a broad spectrum of findings on the relationships between personality and stress, taking transactional stress theory as the point of departure. A first part outlines the different approaches stress research has taken within personality psychology as opposed to research based on transactional stress theory and discusses the debate between these two paradigms. The second part gives an overview of empirical findings, with a focus on the Big Five personality factors, in order to demonstrate that personality affects the stress process in every aspect. The discussion suggests that we address unresolved problems of transactional stress research in the framework of interactionist personality psychology. Special attention ought to be given to developing a better understanding of situational characteristics, stress-producing mechanisms, and the functions of situational choices and coping strategies for personality.     

Neural implementation of probabilistic models of cognition

Bayesian models of cognition hypothesize that human brains make sense of data by representing probability distributions and applying Bayes’ rule to find the best explanation for available data. Understanding the neural mechanisms underlying probabilistic models remains important because Bayesian models provide a computational framework, rather than specifying mechanistic processes. Here, we propose a deterministic neural-network model which estimates and represents probability distributions from observable events—a phenomenon related to the concept of probability matching. Our model learns to represent probabilities without receiving any representation of them from the external world, but rather by experiencing the occurrence patterns of individual events. Our neural implementation of probability matching is paired with a neural module applying Bayes’ rule, forming a comprehensive neural scheme to simulate human Bayesian learning and inference. Our model also provides novel explanations of base-rate neglect, a notable deviation from Bayes.     

Mapping drivers’ mental models of adaptive cruise control to performance

Driver support features (DSF) have the potential to improve safety, but they also change the driver-vehicle relationship —as well as their respective roles and responsibilities. To maximize safety, it is important to understand how drivers’ knowledge and understanding of these technologies—referred to as drivers’ mental models—impact performance and safety. This simulator study examined how drivers with different mental models of adaptive cruise control performed in edge cases. The study compared the responses of groups of drivers, with strong and weak mental models of ACC, established through a combination of screening, training, and exposure, in edge case situations in a high-fidelity driving simulator. In general, participants with strong mental models were faster than those with weak mental models to respond in edge-case situations—defined as cases where the ACC did not detect an approaching object, such as a slow-moving motorcycle. The performance deficits observed for drivers with weak mental models appear to reflect uncertainty surrounding how ACC will behave in edge cases.     

A context-free language for binary multinomial processing tree models

This paper provides a new formalization for the class of binary multinomial processing tree (BMPT) models, and theorems for the class are developed using the formalism. MPT models are a popular class of information processing models for categorical data in specific cognitive paradigms. They have a recursive structure that is productively described with the tools of formal language and computation theory. We provide an axiomatization that characterizes BMPT models as strings in a context-free language, and then we add model-theoretic axioms and definitions to interpret the strings as parameterized probabilistic models for categorical data. The language for BMPT models is related to the Full Binary Tree language, a well-studied context-free language. Once BMPT models are viewed from the perspective of the Full Binary Tree language, a number of theoretical and computational results can be developed. In particular, we have a number of results concerning the enumerations of BMPT models as well as the identifiability of subclasses of these models.     

Models of Psychotherapy: Implications for Pastoral Care Practice

Pastoral care givers are called to provide care and counseling to parishioners that are suffering in many ways. A core question is what does a pastor rely on to provide this care? Pastors usually call on models of psychotherapy to inform their care giving. A framework of theological anthropology, cosmology, soteriology and harmatiology is developed for analyzing the worldviews inherent in models of psychotherapy. The specific models of Adler’s Individual Psychology, Narrative therapy, Horney’s personality theory, and Intersubjective theory are used to demonstrate the application of this framework. Several pastoral care implications are developed following the application of the framework.     

Grammar-based Connectionist Approaches to Language

This article describes an approach to connectionist language research that relies on the development of grammar formalisms rather than computer models. From formulations of the fundamental theoretical commitments of connectionism and of generative grammar, it is argued that these two paradigms are mutually compatible. Integrating the basic assumptions of the paradigms results in formal theories of grammar that centrally incorporate a certain degree of connectionist computation. Two such grammar formalisms—Harmonic Grammar and Optimality Theory —are briefly introduced to illustrate grammar-based approaches to connectionist language research. The strengths and weaknesses of grammar-based research and more traditional model-based research are argued to be complementary, suggesting a significant role for both strategies in the spectrum of connectionist language research.     

Interpersonal Expectations as the Building Blocks of Social Cognition: An Interdependence Theory Perspective

In this paper I use interdependence theory as an analytic framework for depicting the logically interconnected network of expectations that determines social interaction. The framework focuses on expectations about a partner’s goals (B) relevant to particular interdependence situations (S), and suggests that expectations about these two elements define the social situation that activates a person’s own goals (A). Together, these elements determine interaction behavior (I). This SABI framework is complementary to Mischel and Shoda’s (1995) CAPS theory of personality in its logic. It depicts a person’s interpersonal dispositions as having profiles or signatures dependent on both the expected features of situations and the expected dispositions of partners. A taxonomic theory for classifying both situations and the functionally relevant goals of interaction partners is outlined. Research on attachment theory and trust is used to illustrate the model. Finally, I suggest that people’s expectations about partners’ prosocial motivations—their perceived responsiveness toward the self—play an imperial role in social cognition, and, further, that complex SABI models can be seen as detailing a set of security operations that serve as a program for social action. SABI models detail the set of mechanisms that constitute the basic survival kit of interpersonal relations.     

Model-Based Approaches for Teaching and Practicing Personality Assessment

Psychological assessment is a complex professional skill. Competence in assessment requires an extensive knowledge of personality, neuropsychology, social behavior, and psychopathology, a background in psychometrics, familiarity with a range of multimethod tools, cognitive flexibility, skepticism, and interpersonal sensitivity. This complexity makes assessment a challenge to teach and learn, particularly as the investment of resources and time in assessment has waned in psychological training programs over the last few decades. In this article, we describe 3 conceptual models that can assist teaching and learning psychological assessments. The transtheoretical model of personality provides a personality systems-based framework for understanding how multimethod assessment data relate to major personality systems and can be combined to describe and explain complex human behavior. The quantitative psychopathology—personality trait model is an empirical model based on the hierarchical organization of individual differences. Application of this model can help students understand diagnostic comorbidity and symptom heterogeneity, focus on more meaningful high-order domains, and identify the most effective assessment tools for addressing a given question. The interpersonal situation model is rooted in interpersonal theory and can help students connect test data to here-and-now interactions with patients. We conclude by demonstrating the utility of these models using a case example.