Illuminating the nomological network of digital aggression: Results from two studies

We examined the nomological network surrounding digital aggression (DA), in regards to other forms of aggression/antisocial behavior and individual difference variables commonly associated with other forms of aggression/antisocial behavior. Two large samples of university students (N = 713 and 633, respectively) completed a series of questionnaires and in some cases, an additional experience sampling study. Results revealed that, in emerging adulthood, DA appears to have a unique demographic profile relative to the other forms of aggression and antisocial behavior. Results further suggested that, when examined simultaneously, only social aggression and non‐aggressive rule‐breaking evidenced independent associations with DA. These associations persisted even in the absence of social media use. Unique associations with most individual difference variables dissipated once we controlled for social aggression and rule‐breaking, although DA was independently associated with extraversion and alcohol use problems. Such findings begin to embed DA in its broader nomological network and suggest clear functional links with both social aggression and non‐aggressive rule‐breaking.

     

Affect regulation and temporal discounting: interactions between primed, state, and trait affect

Previous research has largely focused on the influence of experienced affect on decision making; however, other sources of affective information may also shape decisions. In two studies, we examine the interacting influences of affective information, state affect, and personality on temporal discounting rates (i.e., the tendency to choose small rewards today rather than larger rewards in the future). In Study 1, participants were primed with either positive or negative affect adjectives before making reward choices. In Study 2, participants underwent either a positive or negative affect induction before making reward choices. Results in both studies indicate that neuroticism interacts with state unpleasant affect and condition (i.e., positive or negative primes or induction) to predict discounting rates. Moreover, the nature of the interactions depends on the regulatory cues of the affective information available. These results suggest that irrelevant (i.e., primes) and stable (i.e., personality traits) sources of affective information also shape judgments and decision making. Thus, current affect levels are not the only source of affective information that guides individuals when making decisions.     

Die Rehabilitation von Straftätern

The rehabilitation of offenders in English-speaking countries is primarily guided by a risk management framework (the risk-need-responsivity principles: RNR model), which aims at reducing the possibility of harm to the community rather than improving offenders’ quality of life. In the last decade Tony Ward and his colleagues have developed the good lives model of offender rehabilitation (GLM) as an alternative to the RNR model. The GLM incorporates the RNR principles of risk, need and responsivity into its theoretical structure while aiming to provide a more constructive and comprehensive approach to correctional practice. More specifically, it aims to both reduce risk while enhancing the quality of offenders’ lives. The present article aims at outlining the general, etiological assumptions and practice implications of the GLM. In addition, its strengths and limitations and evidence base are reported. These illustrations highlight the usefulness of the GLM for the treatment of offenders and sex offenders in particular.     

Functional analysis of aberrant behavior through measurement of separate response topographies

Functional analysis results for multiple topographies of aberrant behavior were graphed in an aggregate fashion and then separately for 48 clients. The results indicated that multiple topographies of behavior may be maintained by different contingencies. These results indicate that graphing functional analysis data in an aggregate fashion and then separately may improve the accuracy of their interpretation.     

Scientific misconduct and science ethics: a case study based approach

The Schön misconduct case has been widely publicized in the media and has sparked intense discussions within and outside the scientific community about general issues of science ethics. This paper analyses the Report of the official Committee charged with the investigation in order to show that what at first seems to be a quite uncontroversial case, turns out to be an accumulation of many interesting and non-trivial questions (of both ethical and philosophical interest). In particular, the paper intends to show that daily scientific practices are structurally permeated by chronic problems; this has serious consequences for how practicing scientists assess their work in general, and scientific misconduct in particular. A philosophical approach is proposed that sees scientific method and scientific ethics as inextricably interwoven. Furthermore, the paper intends to show that the definition of co-authorship that the members of the Committee use, although perhaps clear in theory, proves highly problematic in practice and raises more questions that it answers. A final plea is made for a more self-reflecting attitude of scientists as far as the moral and methodological profile of science is concerned as a key element for improving not only their scientific achievements, but also their assessment of problematic cases.     

Fostering integrity in research: Definitions, current knowledge, and future directions

Over the last 25 years, a small but growing body of research on research behavior has slowly provided a more complete and critical understanding of research practices, particularly in the biomedical and behavioral sciences. The results of this research suggest that some earlier assumptions about irresponsible conduct are not reliable, leading to the conclusion that there is a need to change the way we think about and regulate research behavior. This paper begins with suggestions for more precise definitions of the terms "responsible conduct of research," "research ethics," and "research integrity." It then summarizes the findings presented in some of the more important studies of research behavior, looking first at levels of occurrence and then impact. Based on this summary, the paper concludes with general observations about priorities and recommendations for steps to improve the effectiveness of efforts to respond to misconduct and foster higher standards for integrity in research.     

Individual differences in causal learning and decision making

In judgment and decision making tasks, people tend to neglect the overall frequency of base-rates when they estimate the probability of an event; this is known as the base-rate fallacy. In causal learning, despite people's accuracy at judging causal strength according to one or other normative model (i.e., Power PC, DeltaP), they tend to misperceive base-rate information (e.g., the cause density effect). The present study investigates the relationship between causal learning and decision making by asking whether people weight base-rate information in the same way when estimating causal strength and when making judgments or inferences about the likelihood of an event. The results suggest that people differ according to the weight they place on base-rate information, but the way individuals do this is consistent across causal and decision making tasks. We interpret the results as reflecting a tendency to differentially weight base-rate information which generalizes to a variety of tasks. Additionally, this study provides evidence that causal learning and decision making share some component processes.