Differential Prediction of Immigrant Versus Majority Group Training Performance Using Cognitive Ability and Personality Measures

There are very few studies of the differential prediction of work and training performance for immigrant groups in the Netherlands. Scores on the General Aptitude Test Battery, an intelligence test, and the Amsterdamse Biografische Vragenlijst (ABV), a frequently used Dutch personality test, and training data for 78 immigrant and 78 Dutch trainee truck drivers were collected. Lautenschlager and Mendoza’s (1986) method of step-down hierarchical regression analysis was used to check for bias in the prediction of training results. Some predictor-criterion combinations showed differential prediction, especially with less cognitive and less objective criteria. The results with respect to the intelligence test appear to be in line with the findings of the US literature.     

Planning is for doing: Implementation intentions go beyond the mere creation of goal-directed associations

Studies on implementation intentions so far have mainly pointed towards strengthened cue-behavior associations as the mechanism underlying the effectiveness of this self-regulatory tool. However, we propose that because it triggers people to look into the future and to mentally simulate their future behavior, planning by means of implementation intentions might go beyond the creation of goal-directed associations and thus lead to more enduring effects on behavior. We tested this hypothesis in an experiment using a longitudinal design, where participants formed an intention for a behavior that deviates from their routine, and furnished it either with associative learning of cue and behavior, forming implementation intentions, or nothing at all. Results showed that initially, learning cue-behavior associations led to the same rate of goal completion as forming implementation intentions. However, only the effect of implementation intentions was maintained at the second measurement one week later. These findings suggest that planning does more than merely create goal-directed associations, which might offer a new perspective on the workings and use of this important tool for behavior change.     

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.     

Oblique rotation in correspondence analysis: A step forward in the search for the simplest interpretation

Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. It is closely related to several popular multivariate analysis methods such as canonical correlation analysis and principal component analysis. Like principal component analysis, CA solutions can be rotated orthogonally as well as obliquely into a simple structure without affecting the total amount of explained inertia. However, some specific aspects of CA prevent standard rotation procedures from being applied in a straightforward fashion. In particular, the role played by weights assigned to points and dimensions and the duality of CA solutions are unique to CA. For orthogonal simple structure rotation, procedures recently have been proposed. In this paper, we construct oblique rotation methods for CA that take into account these specific difficulties. We illustrate the benefits of our oblique rotation procedure by means of two illustrative examples.     

The LMPCA program: A graphical user interface for fitting the linked-mode PARAFAC-PCA model to coupled real-valued data

In behavioral research, PARAFAC analysis, a three-mode generalization of standard principal component analysis (PCA), is often used to disclose the structure of three-way three-mode data. To get insight into the underlying mechanisms, one often wants to relate the component matrices resulting from such a PARAFAC analysis to external (two-way two-mode) information, regarding one of the modes of the three-way data. To this end, linked-mode PARAFAC-PCA analysis can be used, in which the three-way and the two-way data set, which have one mode in common, are simultaneously analyzed. More specifically, a PARAFAC and a PCA model are fitted to the three-way and the two-way data, respectively, restricting the component matrix for the common mode to be equal in both models. Until now, however, no software program has been publicly available to perform such an analysis. Therefore, in this article, the LMPCA program, a free and easy-to-use MATLAB graphical user interface, is presented to perform a linked-mode PARAFAC-PCA analysis. The LMPCA software can be obtained from the authors at http://ppw.kuleuven.be/okp/software/LMPCA. For users who do not have access to MATLAB, a stand-alone version is provided.     

Playing God in Frankenstein’s Footsteps: Synthetic Biology and the Meaning of Life

The emergent new science of synthetic biology is challenging entrenched distinctions between, amongst others, life and non-life, the natural and the artificial, the evolved and the designed, and even the material and the informational. Whenever such culturally sanctioned boundaries are breached, researchers are inevitably accused of playing God or treading in Frankenstein’s footsteps. Bioethicists, theologians and editors of scientific journals feel obliged to provide an authoritative answer to the ambiguous question of the ‘meaning’ of life, both as a scientific definition and as an explication with wider existential connotations. This article analyses the arguments mooted in the emerging societal debates on synthetic biology and the way its practitioners respond to criticism, mostly by assuming a defiant posture or professing humility. It explores the relationship between the ‘playing God’ theme and the Frankenstein motif and examines the doctrinal status of the ‘playing God’ argument. One particularly interesting finding is that liberal theologians generally deny the religious character of the ‘playing God’ argument—a response which fits in with the curious fact that this argument is used mainly by secular organizations. Synthetic biology, it is therefore maintained, does not offend so much the God of the Bible as a deified Nature. While syntheses of artificial life forms cause some vague uneasiness that life may lose its special meaning, most concerns turn out to be narrowly anthropocentric. As long as synthetic biology creates only new microbial life and does not directly affect human life, it will in all likelihood be considered acceptable.     

Further Evidence for Reliability and Validity of the Triarchic Psychopathy Measure in a Forensic Sample and a Community Sample

Psychopathy is often described as a constellation of personality characteristics encompassing features such as impulsivity and antisociality, and a lack of empathy and guilt. Although the use of self-reports to assess psychopathy is still debated, there are distinct advantages to such measures and recent research suggests that they may not be as problematic as previously thought. This study further examined the reliability and validity of the Triarchic Psychopathy Measure (TriPM) in a community sample (N = 496) and forensic psychiatric patient sample (N = 217). Results indicated excellent internal consistencies. Additionally, the TriPM total and subscale scores related as expected to different subscales of the Psychopathic Personality Inventory –Revised (PPI-R) and to the Reactive and Proactive Aggression Questionnaire, reflecting good construct validity. Most importantly, ROC curve analyses showed that the TriPM evidenced better discrimination between the community sample and forensic psychiatric patients than the PPI-R. The current study extends the existent evidence demonstrating that the TriPM can be used as an efficient self-report instrument.     

Factors associated with experts' opinions regarding criminal responsibility in The Netherlands

In many jurisdictions, offenders need to have freely chosen to commit their crimes in order to be punishable. A mental defect or disorder may be a reason for diminished or total absence of criminal responsibility and may remove culpability. This study aims to provide an empirically based understanding of the factors on which experts base their judgements concerning criminal responsibility. Clinical, demographic and crime related variables, as well as MMPI-2 profiles, were collected from final reports concerning defendants of serious crime submitted to the observation clinic of the Dutch Ministry of Justice for a criminal responsibility assessment. Criminal responsibility was expressed along a five-point scale corresponding to the Dutch legal practice. Results showed that several variables contributed independently to experts' opinions regarding criminal responsibility: diagnosis (Axis I and II), cultural background, type of weapon used in committing the crime, and whether the defendant committed the crime alone or with others. In contract to jurisdictions involving a sane/insane dichotomy, the Dutch five-point scale of criminal responsibility revealed that Axis II personality disorders turned out to be mostly associated with a diminished responsibility. MMPI-2 scores also turned out to have a small contribution to experts' opinions on criminal responsibility, independently of mere diagnostic variables. These results suggest that experts base their judgements not only on the presence or absence of mental disorders, but also on cultural and crime related characteristics, as well as dimensional information about the defendant's personality and symptomatology.     

On the emergence of deprivation-reducing behaviors: Subliminal priming of behavior representations turns deprivation into motivation

Building on recent research into the emergence of human motivation and goal pursuit in the absence of the conscious awareness of the source of this pursuit, the present article aimed to shed light on how states of deprivation (e.g., deprivation of fluid) actually produce the motivation and corresponding behavior that lifts the deprivation. Two studies established that when participants were relatively deprived of fluids, they experienced enhanced motivation to drink and consumed more fluid in an alleged tasting test, and these effects were more pronounced when the concept of drinking was rendered accessible by subliminal priming. These results suggest that specific motivational goal states and corresponding behaviors do not arise directly from deprivation per se, but that accessible goal-related cognitions play a role in this process. Implications for theory and research on deprivation and non-conscious goal pursuit are briefly discussed.