Risk factors for addictive disorders: a discriminant analysis on 374 addicted and 513 nonpsychiatric participants

Many common risk factors have been described in addictive disorders. Little is known about factors' respective contributions to discrimination of addicted and nonaddicted participants. Two large samples were compared including 513 nonpsychiatric participants and 374 addicted participants meeting the DSM-IV criteria for eating disorders, alcohol, or substance dependence. Twenty-six risk factors were assessed by interview or self-rating scales. A discriminant analysis determined the respective weight of each risk factor. One discriminant function emerged and characterized a depressive dimension. The results suggest that the different risk factors described in addiction could be related to a depressive dimension.     

A tutorial on kernel methods for categorization

The abilities to learn and to categorize are fundamental for cognitive systems, be it animals or machines, and therefore have attracted attention from engineers and psychologists alike. Modern machine learning methods and psychological models of categorization are remarkably similar, partly because these two fields share a common history in artificial neural networks and reinforcement learning. However, machine learning is now an independent and mature field that has moved beyond psychologically or neurally inspired algorithms towards providing foundations for a theory of learning that is rooted in statistics and functional analysis. Much of this research is potentially interesting for psychological theories of learning and categorization but also hardly accessible for psychologists. Here, we provide a tutorial introduction to a popular class of machine learning tools, called kernel methods. These methods are closely related to perceptrons, radial-basis-function neural networks and exemplar theories of categorization. Recent theoretical advances in machine learning are closely tied to the idea that the similarity of patterns can be encapsulated in a positive definite kernel. Such a positive definite kernel can define a reproducing kernel Hilbert space which allows one to use powerful tools from functional analysis for the analysis of learning algorithms. We give basic explanations of some key concepts—the so-called kernel trick, the representer theorem and regularization—which may open up the possibility that insights from machine learning can feed back into psychology.     

Motivation gains of inferior group members: a meta-analytical review

In recent years, a growing number of studies have demonstrated that individuals can exert higher motivation when working in a group compared to working individually. This is particularly true for less capable, inferior group members. To aggregate these findings and to examine preconditions as well as moderating influences on motivation gains of inferior group members, the authors conducted a meta-analysis (17 studies, N=2,240). Results indicated that the overall motivation gain effect of inferior group members observed is moderate and significant (g=.60). Moderator analyses revealed substantial influences of task structure, performance information, physical presence, gender, and task type.     

Auditory event files: Integrating auditory perception and action planning

The features of perceived objects are processed in distinct neural pathways, which call for mechanisms that integrate the distributed information into coherent representations (the binding problem). Recent studies of sequential effects have demonstrated feature binding not only in perception, but also across (visual) perception and action planning. We investigated whether comparable effects can be obtained in and across auditory perception and action. The results from two experiments revealed effects indicative of spontaneous integration of auditory features (pitch and loudness, pitch and location), as well as evidence for audio—manual stimulus—response integration. Even though integration takes place spontaneously, features related to task-relevant stimulus or response dimensions are more likely to be integrated. Moreover, integration seems to follow a temporal overlap principle, with features coded close in time being more likely to be bound together. Taken altogether, the findings are consistent with the idea of episodic event files integrating perception and action plans.     

Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions

We compare Karl Popper’s ideas concerning the falsifiability of a theory with similar notions from the part of statistical learning theory known as VC-theory. Popper’s notion of the dimension of a theory is contrasted with the apparently very similar VC-dimension. Having located some divergences, we discuss how best to view Popper’s work from the perspective of statistical learning theory, either as a precursor or as aiming to capture a different learning activity.     

Psychotherapeutenausbildung aus Sicht der Absolventen

Background

A survey was performed to assess the current situation in education and to identify critical issues 10 years after the inception of the psychotherapy act in Germany.

Methods

In August 2008 all non-medical psychotherapists who had graduated since 2002 according the psychotherapy act were invited to take part in the survey and a total of 863 persons participated. The answers from 666 could be evaluated corresponding to a participation rate of 20%.

Results

A total of 57.6% of the graduates had completed a full-time training and approximately 50% of the graduates had completed the training within the allotted time. In the majority of cases evaluation occurred only for the theoretical courses. During the practical work (PT I) 36.8% of the graduates did not receive any salary or remuneration, 82% had their own field of activity and of these 38% treated patients without the presence of qualified tutor.

Conclusions

The training often lasts longer than intended, the financial situation in the PT I is exceptionally critical and in clear contrast to the field of activity in this section of training. Further detailed results will be presented and discussed.     

How Social Are Task Representations?

ABSTRACT— The classical Simon effect shows that actions are carried out faster if they spatially correspond to the stimulus signaling them. Recent studies revealed that this is the case even when the two actions are carried out by different people; this finding has been taken to imply that task representations are socially shared. In work described here, we found that the "interactive" Simon effect occurs only if actor and coactor are involved in a positive relationship (induced by a friendly-acting, cooperative confederate), but not if they are involved in a negative relationship (induced by an intimidating, competitive confederate). This result suggests that agents can represent self-generated and other-generated actions separately, but tend to relate or integrate these representations if the personal relationship between self and other has a positive valence.     

华人社会中的宗教与环保初探

面对环境问题,宗教领袖选择对宗教经典进行重新诠释,认为宗教在处理这些议题上扮演了重要的角色.本文则越过宗教教义,直接考察华人社会宗教团体的环保参与,并得出一些初步的认识:第一、宗教与环保没有直接的因果关系,但宗教可以成为环保运动的同路人,并对处理环境危机做出贡献.许多宗教参与环保并非源自其教义,而是因为世俗的环保运动如火如荼.第二,有组织的宗教(如台湾的佛教)比那些没有组织的宗教(如儒教)在进行资源动员保护环境方面更有效率.第三,强调自利与个人主义的民间宗教更多地推动地方上的环境保护,而强调利他和集体主义取向的宗教团体则更具心系苍生、环保天下的气质.