Task switches under Go/NoGo conditions and the decomposition of switch costs

Alternating switches between two simple S-R tasks are combined with Go/NoGo tasks. Non-switches after Go trials are assumed to selectively profit from stimulus driven repetition benefits, whereas switches after NoGo trials are assumed to be selectively delayed by stimulus driven negative priming. Intentionally driven reconfiguration costs are assessed by RT differences between switches after Go trials (no negative priming) and non-switches after NoGo trials (no repetition benefits). Experiment 1 indicates that with short preparation time repetition benefits, negative priming costs, and intentional components contribute approximately additively to switch costs. Experiment 2 confirms that the delay of switches after NoGo trials is indeed due to negative priming. Experiments 3 and 4 show that repetition benefits and intentional components of switch costs are properly assessed only if the settings assure that participants reconfigure the required task set in NoGo as well as Go trials.     

Computer-based Testing and Training with Scenarios from Complex Problem-solving Research: Advantages and Disadvantages

The use of PC-based simulations for selection and training for jobs which require complex problem solving skills is ever-increasing. This paper gives a short review of such simulations along with a list of advantages and disadvantages of their use. Possible future developments are sketched.     

Hierarchical diffusion models for two-choice response times

Two-choice response times are a common type of data, and much research has been devoted to the development of process models for such data. However, the practical application of these models is notoriously complicated, and flexible methods are largely nonexistent. We combine a popular model for choice response times-the Wiener diffusion process-with techniques from psychometrics in order to construct a hierarchical diffusion model. Chief among these techniques is the application of random effects, with which we allow for unexplained variability among participants, items, or other experimental units. These techniques lead to a modeling framework that is highly flexible and easy to work with. Among the many novel models this statistical framework provides are a multilevel diffusion model, regression diffusion models, and a large family of explanatory diffusion models. We provide examples and the necessary computer code.     

Performance‐approach and performance‐avoidance classroom goals and the adoption of personal achievement goals

Background. Students’ perceptions of classroom goals influence their adoption of personal goals. To assess different forms of classroom goals, recent studies have favoured an overall measure of performance classroom goals, compared to a two‐dimensional assessment of performance‐approach and performance‐avoidance classroom goals (PAVCG). Aims. This paper considered the relationship between students’ perceptions of classroom goals and their endorsement of personal achievement goals. We proposed that three (instead of only two) classroom goals need to be distinguished. We aimed to provide evidence for this hypothesis by confirmatory factor analysis (CFA) and also by divergent associations between the respective classroom goal and students’ personal goal endorsement. Sample. A total of 871 (474 female) 10th grade students from several German high schools participated in this study. Method. Students responded to items assessing their perception of mastery, performance‐approach, and performance‐avoidance goals in the classroom. Additionally, the students reported how much they personally pursue mastery, performance‐approach, and performance‐avoidance goals. All items referred to German as a specific school subject. Results. A CFA yielded empirical support for the proposed distinction of three (instead of only two) different kinds of classroom goals. Moreover, in hierarchical linear modelling (HLM) analyses all three classroom goals showed unique associations with students’ personal goal adoption. Conclusions. The findings emphasized the need to distinguish performance‐approach and PAVCG. Furthermore, our results suggest that multiple classroom goals have interactive effects on students’ personal achievement strivings.     

Letting go of unmet goals: Does self-focused rumination impair goal disengagement?

Self-regulation of behavior frequently requires that people disengage from goals that are too difficult to attain. The current studies investigate whether self-focused rumination hinders the execution of this crucial self-regulatory competence. In study one, participants attempted to solve anagrams, some of which were unsolvable, and their predisposition to engage in self-focused rumination was assessed. The tendency to ruminate was associated with getting stuck in the attempt to solve unsolvable anagrams. In study two, ruminative thoughts were manipulated by asking participants to focus on their self, personality, and goals in life, a task frequently employed to induce rumination. Compared to participants undergoing a distraction induction, ruminating participants were more likely to get stuck trying to solve unsolvable anagrams. These results suggest that self-focused rumination hinders disengagement from unattainable goals.