Public concerns about violent video games are moral concerns—How moral threat can make pacifists susceptible to scientific and political claims against violent video games

Public discussions about the harmfulness of violent media are often held in the aftermath of violent felony. At the same time, we know little about whether and how experiencing real‐life violence impacts the way laypersons perceive and evaluate debates about virtual violence. In Study 1, we provided data indicating that both real‐life violence and violent video games are perceived as morally threatening by people who regard nonviolence to be an important moral value (i.e., pacifists). In Study 2, we hypothesized and found that when pacifists perceive threat from the presence of real‐life violence, they are especially susceptible to scientific and political claims indicating that violent video games are harmful. Our findings are in line with the value protection model and research on the psychological consequences of threat. Implications of the present findings are discussed with regard to a better understanding of the violent video games debate in the general public.     

Correspondence to Reality in Ethics

This paper examines the view of ethical language that Wittgenstein took in later years. It argues that according to this view, ethics falls into place as a part of our natural history, while every sense of the mystical or supernatural that once surrounded it is irrevocably lost. Moreover, Wittgenstein argues that ethical language does not correspond to reality “in the way” in which a physical theory does. I propose an interpretation of this claim that shows how it sets his view apart from a “realist” theory of ethics. The reality of which he speaks is the reality of human life.     

Strengthening the validity of population-based suicide rate comparisons: an illustration using U.S. military and civilian data

The objectives of this study were to generate precise estimates of suicide rates in the military while controlling for factors contributing to rate variability such as demographic differences and classification bias, and to develop a simple methodology for the determination of statistically derived thresholds for detecting significant rate changes. Suicide rate estimates were calculated for the military population and each service branch over 11 years, directly standardized to the 2000 U.S. population. Military rates were highly comparable across branches and were approximately 20% lower than the civilian rate. Direct adjustment essentially controlled for the demographic confounds in this sample. Applying the Poisson-based method, we demonstrate that suicide rate fluctuations as large as 20-40% in any year may be attributed to random error.     

On quoting the empty expression

Roy Sorensen has argued that a certain technical use of quotation marks to name the empty string supports a revised version of Davidson’s theory of quotation. I point out that Sorensen’s considerations provide no support for Davidson’s original theory, and I show that at best they support the revised Davidsonian theory only to the same extent that they support a simpler revised version of a Tarskian theory.     

Hierarchical Bayes Models for Response Time Data

Human response time (RT) data are widely used in experimental psychology to evaluate theories of mental processing. Typically, the data constitute the times taken by a subject to react to a succession of stimuli under varying experimental conditions. Because of the sequential nature of the experiments there are trends (due to learning, fatigue, fluctuations in attentional state, etc.) and serial dependencies in the data. The data also exhibit extreme observations that can be attributed to lapses, intrusions from outside the experiment, and errors occurring during the experiment. Any adequate analysis should account for these features and quantify them accurately. Recognizing that Bayesian hierarchical models are an excellent modeling tool, we focus on the elaboration of a realistic likelihood for the data and on a careful assessment of the quality of fit that it provides. We judge quality of fit in terms of the predictive performance of the model. We demonstrate how simple Bayesian hierarchical models can be built for several RT sequences, differentiating between subject-specific and condition-specific effects.     

The Dyadic Relationships Test: Creation and Validation of a Model-Derived,Visual-Verbal Instrument to Evaluate Couples Part I of II

Abstract

In Part I of this article, background and rationale for the construction of a Selfhood model-derived visual-verbal Dyadic Relationships Test (DRT) is presented. Results from studies covering its reliability and verification of its psychometric properties are presented. Construct validity was evaluated through research with competing theoretical models. In Part II, results from studies are reported through discriminant and concurrent validity analyses in adoptive and traditional couples. A revision evaluated its construct validity with measures of negotiation, intimacy, and communication, and through relational and emotional life at different stages of the life cycle, including empty nest and retirement. Results from these studies tend to support the psychometric properties of this instrument and, indirectly, the validity of the Selfhood model underlying its construction.