Zukunftsperspektiven sexualforensischer Psychotherapie

There is a controversial discussion on to what extent sexual forensic psychotherapy has a positive influence on the legal probation of sexually delinquent people. From this the question arises on how treatment with a perspective for success could be structured. This article assumes that such a perspective can only succeed through close cooperation between science and psychotherapeutic practice. Through the analysis of a methodologically elaborate study, considerations on the motivation and the influence of empirically ascertained risk factors are developed and each placed in relation to scientific and therapeutic practice. In this way various problems are tackled, which range from insufficiently described interventions via too little therapeutic flexibility up to limitations in the scientific evaluation. Finally, possible barriers for the development of such a perspective are discussed and the connection to the so-called risk-need-responsivity (RNR) model is explored.     

Automated Item Generation with Recurrent Neural Networks

Utilizing technology for automated item generation is not a new idea. However, test items used in commercial testing programs or in research are still predominantly written by humans, in most cases by content experts or professional item writers. Human experts are a limited resource and testing agencies incur high costs in the process of continuous renewal of item banks to sustain testing programs. Using algorithms instead holds the promise of providing unlimited resources for this crucial part of assessment development. The approach presented here deviates in several ways from previous attempts to solve this problem. In the past, automatic item generation relied either on generating clones of narrowly defined item types such as those found in language free intelligence tests (e.g., Raven’s progressive matrices) or on an extensive analysis of task components and derivation of schemata to produce items with pre-specified variability that are hoped to have predictable levels of difficulty. It is somewhat unlikely that researchers utilizing these previous approaches would look at the proposed approach with favor; however, recent applications of machine learning show success in solving tasks that seemed impossible for machines not too long ago. The proposed approach uses deep learning to implement probabilistic language models, not unlike what Google brain and Amazon Alexa use for language processing and generation.     

Lean back and relax: Reclined seating position buffers the effect of frustration on anger and aggression

Frustration is a powerful instigator of anger‐based aggression. We hypothesized that the impact of a frustration on anger and aggressive behavior is reduced in a state of feeling relaxed, which is considered incompatible with the experience of anger. Seventy‐nine participants received frustrating feedback either when sitting upright or sitting in a reclined position and were then given a chance to act aggressively toward the frustrator. Feelings of anger and relaxation were assessed before and after the frustration. Participants in the reclined position felt more relaxed than those sitting upright, which indirectly predicted less aggressive behavior via lower anger. The results are consistent with theories of incompatible states and embodiment and have implications for using body‐related cues to mitigate anger‐based aggression.     

Determinants of Scanpath Regularity in Reading

Scanpaths have played an important role in classic research on reading behavior. Nevertheless, they have largely been neglected in later research perhaps due to a lack of suitable analytical tools. Recently, von der Malsburg and Vasishth (2011) proposed a new measure for quantifying differences between scanpaths and demonstrated that this measure can recover effects that were missed with the traditional eyetracking measures. However, the sentences used in that study were difficult to process and scanpath effects accordingly strong. The purpose of the present study was to test the validity, sensitivity, and scope of applicability of the scanpath measure, using simple sentences that are typically read from left to right. We derived predictions for the regularity of scanpaths from the literature on oculomotor control, sentence processing, and cognitive aging and tested these predictions using the scanpath measure and a large database of eye movements. All predictions were confirmed: Sentences with short words and syntactically more difficult sentences elicited more irregular scanpaths. Also, older readers produced more irregular scanpaths than younger readers. In addition, we found an effect that was not reported earlier: Syntax had a smaller influence on the eye movements of older readers than on those of young readers. We discuss this interaction of syntactic parsing cost with age in terms of shifts in processing strategies and a decline of executive control as readers age. Overall, our results demonstrate the validity and sensitivity of the scanpath measure and thus establish it as a productive and versatile tool for reading research.     

A cholesterol-lowering diet does not produce adverse psychological effects in children: three-year results from the dietary intervention study in children.

The Dietary Intervention Study in Children (DISC), a 2-arm, multicenter intervention study, examined the efficacy and safety of a diet lower in total fat, saturated fatty acids, and cholesterol than the typical American child's diet. A total of 663 8- to 10-year-old children with elevated low-density lipoprotein cholesterol levels were randomly assigned to either an intervention or a usual-care group. Intervention included group and individual counseling sessions to assist participants in adopting a dietary pattern containing 28% or less of calories from total fat (<8% as saturated fat, up to 9% as polyunsaturated fat, and 11% as monounsaturated fat) and dietary cholesterol intake of less than 75 mg/1,000 kcal. The dietary intervention reduced low-density lipoprotein cholesterol levels, and 3-year results showed no adverse effects for children in the intervention group in terms of academic functioning, psychological symptoms, or family functioning.     

Stress management: a randomized study of cognitive behavioural therapy and yoga

In this study, a stress management program based on cognitive behavioural therapy principles was compared with a Kundaliniyoga program. A study sample of 26 women and 7 men from a large Swedish company were divided randomly into 2 groups for each of the different forms of intervention; a total of 4 groups. The groups were instructed by trained group leaders and 10 sessions were held with each of groups, over a period of 4 months. Psychological (self-rated stress and stress behaviour, anger, exhaustion, quality of life) and physiological (blood pressure, heart rate, urinary catecholamines, salivary cortisol) measurements obtained before and after treatment showed significant improvements on most of the variables in both groups as well as medium-to-high effect sizes. However, no significant difference was found between the 2 programs. The results indicate that both cognitive behaviour therapy and yoga are promising stress management techniques.