Mindestanforderungen für Prognosegutachten1

Die aus Richtern am Bundesgerichtshof, Bundesanw?lten, forensischen Psychiatern und Psychologen, Sexualmedizinern und weiteren Juristen bestehende interdisziplin?re Arbeitsgruppe, die sich bereits mit Mindestanforderungen für Schuldf?higkeitsgutachten befasst hat², hat nun auch die nachfolgenden Empfehlungen für die vielf?ltig zu erstattenden forensischen Prognosegutachten erarbeitet. Wegen der H?ufigkeit und der Bedeutung dieser Gutachten in der Strafvollstreckung ist die Arbeitsgruppe um drei erfahrene Vollstreckungsrichter erweitert worden. Die Mitglieder waren: VRinBGH Dr. Rissing-van Saan, VRiBGH Nack, RiBGH Basdorf, RiBGH Dr. Bode, RiBGH Dr. Boetticher, RiBGH Maatz, RiBGH Pfister, VRiBGH a.D. Dr. Sch?fer, die Bundesanw?lte Hannich und Altvater, die Vollstreckungsrichter RiOLG B?hm, Karlsruhe, RiOLG Dr. Müller-Metz, Frankfurt a.M., VRiLG Dr. Wolf, Marburg, der Kriminologe Prof. Dr. Sch?ch, München, der Rechtsanwalt Dr. Deckers, Düsseldorf, die forensischen Psychiater Prof. Dr. Berner, Hamburg, Prof. Dr. Dittmann, Basel, Prof. Dr. Kr?ber, Berlin, Prof. Dr. Leygraf, Essen, Dr. Müller-Isberner, Gie?en, Prof. Dr. Nedopil, München, Prof. Dr. Sa?, Aachen, Dr. Habermeyer, Rostock, die Sexualmediziner Prof. Dr. Dr. Beier, Berlin, Prof. Dr. Bosinski, Kiel, und der Rechtspsychologe Prof. Dr. K?hnken, Kiel. ¹ Dieser Beitrag ist bereits erschienen in NStZ 26:237–544 (2006), Abdruck mit freundlicher Genehmigung des Verlages C. H. Beck ² NStZ 25:57–62 (2005), Nervenarzt 76:1154–1159 (2005), Forens Psychiatr Psychol Kriminol 1:3–9 (2007)     

Statistical power analyses using G<Superscript>*</Superscript>Power 3.1: Tests for correlation and regression analyses

G^*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.     

Recall-to-reject: The effect of category cues on false recognition

Four experiments examined the effect of category cueing on recall-to-reject, one of the central memory-editing mechanisms thought to prevent the occurrence of false memories. When category names were used as retrieval cues, the typically observed false recognition effect was eliminated for semantically associated distractors (Experiment 1a) and, moreover, a reduction in the absolute level of the false alarm rate was found for phonologically associated distractors (Experiment 2a). In addition to the old/new-recognition data, analyses using multinomial models support the interpretation that category cueing was successful in increasing the probability of recall-to-reject (Experiments 1b and 2b). The results are in line with dual-process theories of recognition memory and provide further evidence for recall-to-reject in single item recognition. They demonstrate its potential to reduce false recognition even when explicit instructions are not given. In addition, the results demonstrate that the paradigm can give rise to side effects that oppose recall-to-reject. A simultaneous familiarity increase can explain why many studies failed to find evidence for recall-to-reject in terms of false alarm rates.     

Your life in snapshots: Mobile weblogs

Nicola Döring and Alex Gundolf's article on the development of 'moblogs' or mobile weblogs allows us to approach recent mobile phone industry developments from an academic standpoint. Pointing to the convergence of mobile and Internet technology, 'moblogs' provide a means for users to archive their lives via photos that can be taken via a mobile phone and viewed via the Internet. Nokia have named their product to provide this service 'lifeblog', and it is this uncensored publication of everyday life that Döring and Gundolf investigate, from subjects as mundane as a user capturing his waking state everyday, to as personally and globally historic as the moblog by a US soldier in Iraq. What we are seeing in the 'moblog' is how organically some product development is in the mobile world--the early moblogging software came not from operators, handset or software manufacturers but from the social software community that thrives on the Internet. It is precisely this level of organic, spontaneous product development that occurs as a by-product of networked communities that many companies seek and often fail to emulate.     

Effects of spatial response coding on distractor processing: Evidence from auditory spatial negative priming tasks with keypress,joystick, and head movement responses

Attention, Perception, & Psychophysics - Prior studies of spatial negative priming indicate that distractor-assigned keypress responses are inhibited as part of visual, but not auditory,...     

Mood and the impact of individuating information on the evaluation of ingroup and outgroup members: The role of mood-based expectancies

This research investigates the role of mood-based expectancies regarding a target's group membership for the impact of individuating information on target judgments. We argue that target judgments in both positive and negative mood may be more or less affected by individuating information depending on whether the target is an ingroup member or an outgroup member. Specifically, in a competitive intergroup setting it should be less congruent with mood-based expectancies when individuals in positive (negative) mood learn that an outgroup (ingroup) member rather than an ingroup (outgroup) member has succeeded. Hence, unexpected (i.e., mood-incongruent) category information should elicit more attention than expected (mood-congruent) category information. More importantly, subsequent individuating information (high vs. low target competence) should be processed more effortful and influence target judgments more strongly given mood-incongruent (vs. mood-congruent) category membership. Findings of an experiment support these predictions. Results are discussed in regard to implications for different research domains.     

Subjective measures of consciousness in artificial grammar learning task

Consciousness can be measured in various ways, but different measures often yield different conclusions about the extent to which awareness relates to performance. Here, we compare five different subjective measures of awareness in the context of an artificial grammar learning task. Participants (N=217) expressed their subjective awareness of rules using one of five different scales: confidence ratings (CRs), post-decision wagering (PDW), feeling of warmth (FOW), rule awareness (RAS), and continuous scale (SDS). All scales were equally sensitive to conscious knowledge. PDW, however, was affected by risk aversion, and both RAS and SDS applied different minimal criteria for rule awareness. CR seems to capture the largest range of consciousness, but failed to indicate unconscious knowledge with the guessing criterion. We close by discussing the theoretical implications of scale sensitivity and propose that CR's unique features enable (in conjunction with RAS and FOW) a finer assessment of subjective states of awareness.