Computer Ethics and Moral Methodology

In computer ethics, as in other branches of applied ethics, the problem of the justification of moral judgment is still unresolved. I argue that the method which is referred to as "The Method of Wide Reflective Equilibrium" (WRE) offers the best solution to it. It does not fall victim to the false dilemma of having to choose either case-based particularist or principle-based universalist approaches to the problem of moral justification. I claim that WRE also provides the best model of practical moral reasoning available for computer ethics. It does not pretend to provide quasi-algorithmic procedures for moral decision-making, but neither does it abandon the regulative ideal of communicative transparency in discursive public justification.     

A criterion-shift model for enhanced discriminability in perceptual identification: A note on the counter model

The original version of the counter model for perceptual identification (Ratcliff & McKoon, 1997) assumed that word frequency and prior study act solely to bias the identification process (i.e., subjects have a tendency to prefer high-frequency and studied low-frequency words, irrespective of the presented word). In a recent study, using a two-alternative forced-choice paradigm, we showed an enhanced discriminability effect for high-frequency and studied low-frequency words (Wagenmakers, Zeelenberg, & Raaijmakers, 2000). These results have led to a fundamental modification of the counter model: Prior study and high frequency not only result in bias, but presumably also result in a higher rate of feature extraction (i.e., better perception). We demonstrate that a criterion-shift model, assuming limited perceptual information extracted from the flash as well as a reduced distance to an identification threshold for high-frequency and studied low-frequency words, can also account for enhanced discriminability.     

A Hierarchical Multiple-Level Approach to the Assessment of Interpersonal Relatedness and Self-Definition: Implications for Research,Clinical Practice,and DSM Planning

Extant research suggests there is considerable overlap between so-called 2-polarities models of personality development; that is, models that propose that personality development evolves through a dialectic synergistic interaction between 2 key developmental tasks across the life span—the development of self-definition on the one hand and of relatedness on the other. These models have attracted considerable research attention and play a central role in DSM planning. This article provides a researcher- and clinician-friendly guide to the assessment of these personality theories. We argue that current theoretical models focus on issues of relatedness and self-definition at different hierarchically organized levels of analysis; that is (a) at the level of broad personality features, (b) at the motivational level (i.e., the motivational processes underlying the development of these dimensions), and (c) at the level of underlying internal working models or cognitive affective schemas, and the specific interpersonal features and problems in which they are expressed. Implications for further research and DSM planning are outlined.     

Counsellors' focus on competitive employment for people with severe mental illness: an application of the theory of planned behaviour in vocational rehabilitation programmes

Although the evidence-based Individual Placement and Support programme highlights the importance of the vocational rehabilitation (VR) counsellors' focus on competitive employment during career counselling, studies have shown that counsellors do not always target such jobs. This study examines which determinants affect the counsellors' intentions using an extended version of the Theory of Planned Behaviour. Cross-sectional data of 263 VR counsellors of three public employment services were analysed using structural equation modelling. A path model comprising attitudes, prior behaviour, and subjective and moral norms explained 69% of the variance in intentions. The findings indicate that counsellors focus more on competitive employment when they (1) view the placement in a competitive job as positive, (2) experience support and (3) have prior relevant experiences.     

Age differences in the prevalence of physical aggression among 5-11-year-old Canadian boys and girls

It has been proven extremely difficult in the past to estimate the prevalence of physical aggression in children for two main reasons: (a) a heterogeneous sampling of behaviors (i.e., mix between physically aggressive and non-physically aggressive antisocial behaviors), and (b) a lack of a "gold standard" to identify children who exhibit physically aggressive behaviors on a frequent basis. The goal of this study was to test for age differences in the prevalence of physical aggression in the Canadian population of school-aged boys and girls, using cross-sectional data from the National Longitudinal Survey of Children and Youth (NLSCY). The first wave of the NLSCY included a representative sample of 12,292 Canadian children aged 5-11 years. We used latent class analysis to identify children whose propensity to exhibit physically aggressive behaviors was much higher than that of other children of the same age and sex in the population. The prevalence of physical aggression was estimated at 3.7% in 5-11-year-old boys and ranged from .5% to 2.3% in 11 and 5-year-old girls, respectively. Hence, the results show a decreasing trend in the prevalence of physical aggression with age for girls, but not for boys. These findings suggest the importance of considering the developmental pathways of physical aggression for boys and girls separately.     

The contribution of covariation to skill improvement is an ambiguous measure: comment on Müller and Sternad (2004)

It has been proposed that it is possible to decompose changes in variability of human motor behavior into 3 independent components: covariation, task tolerance, and stochastic noise (H. Müller & D. Sternad). The authors simulate learning to throw accurately and show that for this task the proposed analysis does not give an unambiguous answer to the question of what the 3 components contribute to the simulated skill improvement. It is argued that this is caused by the fact that the component covariation depends on the choice of control variables. The authors conclude that it is not possible to distinguish between the 3 components of noise reduction without knowing the controlled variables.     

Mereology and time travel

Philosophical Studies - Core principles of mereology have been questioned by appealing to time travel scenarios. This paper questions the methodology of employing time travel scenarios to argue...     

How to quantify support for and against the null hypothesis: A flexible WinBUGS implementation of a default Bayesian t test

We propose a sampling-based Bayesian t test that allows researchers to quantify the statistical evidence in favor of the null hypothesis. This Savage—Dickey (SD) t test is inspired by the Jeffreys—Zellner—Siow (JZS) t test recently proposed by Rouder, Speckman, Sun, Morey, and Iverson (2009). The SD test retains the key concepts of the JZS test but is applicable to a wider range of statistical problems. The SD test allows researchers to test order restrictions and applies to two-sample situations in which the different groups do not share the same variance.     

Increase in counselling communication skills after basic and advanced microskills training

Background Mastering counselling communication skills is one of the requirements that lead to the diploma of a registered European psychologist. The microcounseling method proves to be effective in training these skills. Aim Research into the effectiveness of the microcounseling method often reports overall effect sizes only. The aim of this study was to investigate the adequate use of separate counselling communication skills (seven basic skills: minimal encouragements; asking questions; paraphrasing; reflection of feeling; concreteness; summarizing; and situation clarification and five advanced skills: advanced accurate empathy; confrontation; positive relabelling; examples of one's own; and directness) after respectively a basic and an advanced training in these skills. Sample Participants were 583 first year or second year bachelor students in psychology who took the counselling communication skills progress test (CSPT). The participants are divided in a group of freshmen, who had not received any training in counselling communication skills; first year students, who had received a training in basic skills; second year students who had followed a training in advanced skills and a control group. Method A between‐subject design, a within‐subject design and a pre‐test–post‐test‐control group design were used to examine the scores on these skills. Results Seven basic skills and four advanced skills had large effect sizes. One advanced skill had a moderate effect size. Conclusio The microcounseling method is very effective on the level of separate microskills. However, students perform better on the basic skills than on the advanced skills. More training seems to be needed in the latter to achieve the same level of mastery.     

Bootstrap confidence intervals in multi‐level simultaneous component analysis

Multi‐level simultaneous component analysis (MLSCA) was designed for the exploratory analysis of hierarchically ordered data. MLSCA specifies a component model for each level in the data, where appropriate constraints express possible similarities between groups of objects at a certain level, yielding four MLSCA variants. The present paper discusses different bootstrap strategies for estimating confidence intervals (CIs) on the individual parameters. In selecting a proper strategy, the main issues to address are the resampling scheme and the non‐uniqueness of the parameters. The resampling scheme depends on which level(s) in the hierarchy are considered random, and which fixed. The degree of non‐uniqueness depends on the MLSCA variant, and, in two variants, the extent to which the user exploits the transformational freedom. A comparative simulation study examines the quality of bootstrap CIs of different MLSCA parameters. Generally, the quality of bootstrap CIs appears to be good, provided the sample sizes are sufficient at each level that is considered to be random. The latter implies that if more than a single level is considered random, the total number of observations necessary to obtain reliable inferential information increases dramatically. An empirical example illustrates the use of bootstrap CIs in MLSCA.