What Can Political Psychology Learn from Implicit Measures? Empirical Evidence and New Directions

Implicit measures have become very popular in virtually all areas of basic and applied psychology. However, there are empirical and theoretical arguments that might raise doubts about their usefulness in research on political attitudes. Based on a review of relevant evidence, we argue that implicit measures can be useful to identify distal sources of political preferences in domains where self‐presentation may bias self‐reports (e.g., influence of racial attitudes on voting decisions). In addition, implicit measures of proximal political attitudes can contribute to the prediction of future political decisions by virtue of their capability to predict biases in the processing of decision‐relevant information (e.g., prediction of voting behavior of undecided voters). These conclusions are supported by research showing that implicit measures predict real‐world political behavior over and above explicit measures. The reviewed findings suggest that implicit measures may serve as a useful supplement to improve the prediction of election outcomes. Open questions and potential directions for future research are discussed.     

Variations in decision-making profiles by age and gender: A cluster-analytic approach

Using cluster-analysis, we investigated whether rational, intuitive, spontaneous, dependent, and avoidant styles of decision making (Scott & Bruce, 1995) combined to form distinct decision-making profiles that differed by age and gender. Self-report survey data were collected from 1075 members of RAND’s American Life Panel (56.2% female, 18–93 years, M_age = 53.49). Three decision-making profiles were identified: affective/experiential, independent/self-controlled, and an interpersonally-oriented dependent profile. Older people were less likely to be in the affective/experiential profile and more likely to be in the independent/self-controlled profile. Women were less likely to be in the affective/experiential profile and more likely to be in the interpersonally-oriented dependent profile. Interpersonally-oriented profiles are discussed as an overlooked but important dimension of how people make important decisions.     

Self‐Control Moderates Decision‐Making Behavior When Minimizing Losses versus Maximizing Gains

We examined (1) whether people would be more responsive to the delayed consequences of their decisions when attempting to minimize losses than when attempting to maximize gains in a history‐dependent decision‐making task and (2) how trait self‐control would moderate such an effect. In two experiments, participants performed a dynamic decision‐making task where they chose one of two options on each trial. The increasing option always gave a smaller immediate reward but caused future rewards for both options to increase. The decreasing option always gave a larger immediate reward but caused future rewards for both options to decrease. In Experiment 1 where the two options had equivalent expected value in the long run, participants were more prone to select the increasing option, which yielded larger benefits on future trials, in the loss‐minimization condition than in the gain‐maximization condition. Trait self‐control moderated the effect of losses by enhancing the effect for low self‐control participants while attenuating it for high self‐control participants. In Experiment 2 where selecting the increasing option was suboptimal, low self‐control participants still attempted to reduce losses on future trials by selecting the increasing option more often than high self‐control participants. These results suggest that decision makers value delayed consequences of their actions more in a losses domain relative to a gains domain and low self‐control individuals are more susceptible to such an effect. Copyright © 2014 John Wiley & Sons, Ltd.     

Ethics Consultation in Pediatrics: Long-Term Experience From a Pediatric Oncology Center

There is little information about the content of ethics consultations (EC) in pediatrics. We sought to describe the reasons for consultation and ethical principles addressed during EC in pediatrics through retrospective review and directed content analysis of EC records (2000–2011) at St. Jude Children's Research Hospital. Patient-based EC were highly complex and often involved evaluation of parental decision making, particularly consideration of the risks and benefits of a proposed medical intervention, and the physician's fiduciary responsibility to the patient. Nonpatient consultations provided guidance in the development of institutional policies that would broadly affect patients and families. This is one of the few existing reviews of the content of pediatric EC and indicates that the distribution of ethical issues and reasons for moral distress are different than with adults. Pediatric EC often facilitates complex decision making among multiple stakeholders, and further prospective research is needed on the role of ethics consultation in pediatrics.     

Distance‐Based Measures of Specialization and Balance in Multi‐Criteria: A DEA‐Integrated Method

Decision makers pursuing several distinct goals may differ in their behaviour. Some try to achieve all goals simultaneously, whereas others concentrate on only certain ones and are therefore specialized. We present a new method of measuring the specialization degree with respect to a given standard balanced relation of the goals. The measurement is integrated into data envelopment analysis (DEA) methodology, uses a non‐compensative distance measure, permits optional convex polyhedral cones as predefined balance sets and guarantees feasible solutions. Geometrically, it is based on the angle between the balance cone and the ray through the point of investigation. The proposed models can be used to support and complement the usual effectiveness and efficiency analysis in multi‐criteria decision analysis and DEA. They are motivated and illustrated by a simple numerical example, compared with an alternative method recently published and applied to real data from the literature. Copyright © 2014 John Wiley & Sons, Ltd.     

Preference‐based Learning of Ideal Solutions in TOPSIS‐like Decision Models

Combining established modelling techniques from multiple‐criteria decision aiding with recent algorithmic advances in the emerging field of preference learning, we propose a new method that can be seen as an adaptive version of TOPSIS, the technique for order preference by similarity to ideal solution decision model (or at least a simplified variant of this model). On the basis of exemplary preference information in the form of pairwise comparisons between alternatives, our method seeks to induce an ‘ideal solution’ that, in conjunction with a weight factor for each criterion, represents the preferences of the decision maker. To this end, we resort to probabilistic models of discrete choice and make use of maximum likelihood inference. First experimental results on suitable preference data suggest that our approach is not only intuitively appealing and interesting from an interpretation point of view but also competitive to state‐of‐the‐art preference learning methods in terms of prediction accuracy. Copyright © 2014 John Wiley & Sons, Ltd.     

Preadolescent Decision‐Making Competence Predicts Interpersonal Strengths and Difficulties: A 2‐Year Prospective Study

Recent research has demonstrated that decision‐making competence (DMC), a latent construct reflecting individual differences in rational thought, is predictive of real‐world decision outcomes at various stages of life. This construct has been shown to be associated with concurrent and retrospective accounts of health‐risking behavior, but its predictive validity has yet to be demonstrated. In the present study, we examine this issue using a 2‐year prospective, multiple‐informant design. Specifically, we tested the degree to which preadolescent DMC (PA‐DMC) obtained at ages 10–11 years (Time 1; N = 101) predicted both self‐reports and caregiver reports of emotional, behavioral, and peer‐related difficulties obtained 2 years later (Time 2; N = 76). Holding variables such as numeracy and inhibitory control constant, lower Time 1 PA‐DMC scores predicted greater reported Time 2 psychosocial difficulties (i.e. peer, conduct, emotional, and hyperactivity/inattention problems). Additionally, higher PA‐DMC scores were associated with greater self‐reported prosocial behaviors at Time 2. These results highlight the utility of testing individual differences in rational responding. We discuss the potential for improving children's decision‐making processes. Copyright © 2014 John Wiley & Sons, Ltd.     

The Impact of Trait Anxiety on Self‐frame and Decision Making

The present study investigated how trait anxiety influenced the formation of a self‐frame and decision making. Participants (N = 1044) responded to the Trait Anxiety Inventory. Those with trait anxiety scores ±1 Z score from the sample mean (N = 328) were recalled to respond to the self‐frame questionnaire. The results suggested that trait anxiety differences could result in differences in the editing of decision‐making information, thereby influencing the risky choice. Compared with the low trait anxiety group, participants from the high trait anxiety group showed a greater tendency to use negative vocabulary to construct their self‐frame and tended to choose conservative plans. Self‐frame suppressed the influence of trait anxiety on decision making. These results further confirmed the hypothesis that individual differences in personality traits might influence the processing of information in a framed decision task. Copyright © 2013 John Wiley & Sons, Ltd.