Angststörungen bei Patienten mit implantiertem Kardioverter-Defibrillator (ICD)

Patients with an implantable cardioverter defibrillator (ICD) often show anxiety disorders as comorbid psychologycal disturbances. In a short review we discuss psychosocial aspects of the ICD-implantation. A case study of a 38 year old patient in inpatient treatment is presented for illustration of a cognitive-behavioral treatment method. The psychotherapeutic treatment was carried out in close cooperation with the clinic for cardiology.     

Emotional reactivity and interoceptive sensitivity: Exploring the role of age

Psychonomic Bulletin & Review - Interoceptive sensitivity (IS) refers to the ability to accurately perceive visceral afferent information, and several prominent theories of emotions suggest...     

Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles

Science and Engineering Ethics - Ethical thought experiments such as the trolley dilemma have been investigated extensively in the past, showing that humans act in utilitarian ways, trying to cause...     

Scoring Depression on a Common Metric: A Comparison of EAP Estimation,Plausible Value Imputation,and Full Bayesian IRT Modeling

There are a growing number of item response theory (IRT) studies that calibrate different patient-reported outcome (PRO) measures, such as anxiety, depression, physical function, and pain, on common, instrument-independent metrics. In the case of depression, it has been reported that there are considerable mean score differences when scoring on a common metric from different, previously linked instruments. Ideally, those estimates should be the same. We investigated to what extent those differences are influenced by different scoring methods that take into account several levels of uncertainty, such as measurement error (through plausible value imputation) and item parameter uncertainty (through full Bayesian IRT modeling). Depression estimates from different instruments were more similar, and their corresponding confidence/credible intervals were larger when plausible value imputation or Bayesian modeling was used, compared to the direct use of expected a posteriori (EAP) estimates. Furthermore, we explored the use of Bayesian IRT models to update item parameters based on newly collected data.     

Analysis of Variance Models with Stochastic Group Weights

The analysis of variance (ANOVA) is still one of the most widely used statistical methods in the social sciences. This article is about stochastic group weights in ANOVA models – a neglected aspect in the literature. Stochastic group weights are present whenever the experimenter does not determine the exact group sizes before conducting the experiment. We show that classic ANOVA tests based on estimated marginal means can have an inflated type I error rate when stochastic group weights are not taken into account, even in randomized experiments. We propose two new ways to incorporate stochastic group weights in the tests of average effects – one based on the general linear model and one based on multigroup structural equation models (SEMs). We show in simulation studies that our methods have nominal type I error rates in experiments with stochastic group weights while classic approaches show an inflated type I error rate. The SEM approach can additionally deal with heteroscedastic residual variances and latent variables. An easy-to-use software package with graphical user interface is provided.     

Some thoughts on empathy and countertransference

Two aspects of countertransference-namely, the countertransference reaction and empathic understanding-must be distinguished. The term countertransference should be reserved exclusively for the conscious reactions of the analyst emerging from the preconscious by virtue of the patient's current transferences; the term empathy should be used to denote a perspective whereby the analyst employs current countertransference reactions for an understanding of the patient's inner life.     

Social validation in group decision-making: Differential effects on the decisional impact of preference-consistent and preference-inconsistent information

Shared information has a stronger impact on group decisions than unshared information. A prominent explanation for this phenomenon is that shared information can be socially validated during group discussion and, hence, is perceived as more accurate and relevant than unshared information. In the present study we argue that this explanation only holds for preference-inconsistent information (i.e., information contradicting the group members’ initial preferences) but not for preference-consistent information. In Experiments 1 and 2 participants studied the protocol of a fictitious group discussion. In this protocol, we manipulated which types of information were socially validated. As predicted, social validation increased the decisional impact of preference-inconsistent but not preference-consistent information. In both experiments the effect of social validation was mediated by the perceived quality of information. Experiment 3 replicated the results of the first two experiments in an interactive setting in which two confederates discussed a decision case face-to-face with one participant.     

Coping with loneliness in old age: a cross-cultural comparison

The present study is an examination of the influence of cultural background on the ways in which the aged cope with loneliness. Thirty-six participants from Canada and 105 from Portugal (60-83 years old) answered an 86-item questionnaire which examined thebeneficial strategies which they used to cope with loneliness. The strategies which were examined included Acceptance and Reflection, Self-Development and Understanding, Social Support Network, Distancing and Denial, Religion and Faith, and Increased Activity. Results indicated that the elderly of the two cultures differ on three subscales. Gender differences between and within cultures were also examined.