Linking antisocial behavior, substance use, and personality: an integrative quantitative model of the adult externalizing spectrum

Antisocial behavior, substance use, and impulsive and aggressive personality traits often co-occur, forming a coherent spectrum of personality and psychopathology. In the current research, the authors developed a novel quantitative model of this spectrum. Over 3 waves of iterative data collection, 1,787 adult participants selected to represent a range across the externalizing spectrum provided extensive data about specific externalizing behaviors. Statistical methods such as item response theory and semiparametric factor analysis were used to model these data. The model and assessment instrument that emerged from the research shows how externalizing phenomena are organized hierarchically and cover a wide range of individual differences. The authors discuss the utility of this model for framing research on the correlates and the etiology of externalizing phenomena.     

Test-Taker Reactions to the Selection Process: Effects of Outcome Favorability, Explanations, and Voice on Fairness Perceptions

This study examined the effects of providing an explanation and voice on fairness perceptions and reactions of test takers under favorable and unfavorable selection decisions. Participants took either a cognitive ability test or an overt integrity test in a simulated selection situation. Then, the voice manipulation was introduced. Participants were informed of the hiring decision with or without an explanation. Results showed that type of test had effects on procedural fairness perceptions such that these reactions were more positive when a cognitive ability test was used. The results of voice and explanation manipulations on fairness perceptions indicated that providing an explanation had a positive effect on perceptions but, surprisingly, face-validity perceptions were less favorable when participants had voice opportunity.     

Self-Control: A Function of Knowing When and How to Exercise Restraint

ABSTRACT— To successfully pursue a goal in the face of temptation, an individual must first identify that she faces a self-control conflict. Only then will the individual exercise self-control to promote goal pursuit over indulging in temptation. We propose a new model that distinguishes between the problems of conflict identification and those of conflict resolution. We then review research on the factors that influence conflict identification and those that determine conflict resolution.     

From autonomy to heteronomy (and back): The enaction of social life

The term “social cognition” can be construed in different ways. On the one hand, it can refer to the cognitive faculties involved in social activities, defined simply as situations where two or more individuals interact. On this view, social systems would consist of interactions between autonomous individuals; these interactions form higher-level autonomous domains not reducible to individual actions. A contrasting, alternative view is based on a much stronger theoretical definition of a truly social domain, which is always defined by a set of structural norms; moreover, these social structures are not only a set of constraints, but actually constitute the possibility of enacting worlds that would just not exist without them. This view emphasises the heteronomy of individuals who abide by norms that are impersonal, culturally inherited and to a large extent independent of the individuals. Human beings are socialised through and through; consequently, all human cognition is social cognition. The article argues for this second position. Finally, it appears that fully blown autonomy actually requires heteronomy. It is the acceptance of the constraints of social structures that enables individuals to enter new realms of common meaningfulness. The emergence of social life marks a crucial step in the evolution of cognition; so that at some evolutionary point human cognition cannot but be social cognition.     

Proactive coping, gratitude, and posttraumatic stress disorder in college women

This study investigated relationships among proactive coping, positive emotions, and posttraumatic stress disorder (PTSD) symptom severity for 182 undergraduate women with trauma histories. Participants were administered the Life Events Checklist (LEC), PTSD Checklist, Proactive Coping Inventory, Proactive Attitude Scale, General Perceived Self-Efficacy Scale, and measures of posttrauma gratitude and emotional growth. An Exploratory Factor Analysis (EFA) with proactive coping, proactive attitude, and self-efficacy items indicated a one-factor solution. The proactive coping style factor and posttrauma gratitude were independently negatively associated with current PTSD symptom level, above and beyond the effects of trauma severity, trauma history, and time elapsed since the trauma. The implications of these results for future research and understanding of the development of PTSD and its treatment are discussed.     

Mental Health Professionals' Perceptions of Women's Experiences of Family Violence

This study explored perceptions of 92 mental health professionals regarding violent families. They were asked to answer the questions on the Family Environment Scale as they thought women who lived in homes where they and their children were physically and/or psychologically abused would respond. Their scores were compared to those of 28 mothers in battered women's shelters. They differed significantly in their perceptions of violent family dynamics with regard to levels of cohesion, expressiveness, independence, intellectual-cultural orientation, active-recreational emphasis, and moral-religious emphasis. They believed the women to have lower levels on these constructs than the women actually reported. Implications suggest that mental health professionals could be more aware of the dynamics of violent families in order to efficiently uncover the violence during therapy sessions and provide appropriate services.     

Causal graphical views of fixed effects and random effects models

Despite the long-standing discussion on fixed effects (FE) and random effects (RE) models, how and under what conditions both methods can eliminate unmeasured confounding bias has not yet been widely understood in practice. Using a simple pretest–posttest design in a linear setting, this paper translates the conventional algebraic formalization of FE and RE models into causal graphs and provides intuitively accessible graphical explanations about their data-generating and bias-removing processes. The proposed causal graphs highlight that FE and RE models consider different data-generating models. RE models presume a data-generating model that is identical to a randomized controlled trial, while FE models allow for unobserved time-invariant treatment–outcome confounding. Augmenting regular causal graphs that describe data-generating processes by adding the computational structures of FE and RE estimators, the paper visualizes how FE estimators (gain score and deviation score estimators) and RE estimators (quasi-deviation score estimators) offset unmeasured confounding bias. In contrast to standard regression or matching estimators that reduce confounding bias by blocking non-causal paths via conditioning, FE and RE estimators offset confounding bias by deliberately creating new non-causal paths and associations of opposite sign. Though FE and RE estimators are similar in their bias-offsetting mechanisms, the augmented graphs reveal their subtle differences that can result in different biases in observational studies.