On the locus of speed-accuracy trade-off in reaction time: inferences from the lateralized readiness potential

Lateralized readiness potentials (LRPs) were used to determine the stage(s) of reaction time (RT) responsible for speed-accuracy trade-offs (SATs). Speeded decisions based on several types of information were examined in 3 experiments, involving, respectively, a line discrimination task, lexical decisions, and an Erikson flanker task. Three levels of SAT were obtained in each experiment by adjusting response deadlines with an adaptive tracking algorithm. Speed stress affected the duration of RT stages both before and after the start of the LRP in all experiments. The latter effect cannot be explained by guessing strategies, by variations in response force, or as an indirect consequence of the pre-LRP effect. Contrary to most models, it suggests that SAT can occur at a late postdecisional stage.     

Peirce-Suit of Truth – Why Inference to the Best Explanation and Abduction Ought Not to be Confused

It is well known that the process of scientific inquiry, according to Peirce, is drivenby three types of inference, namely abduction, deduction, and induction. What isbehind these labels is, however, not so clear. In particular, the common identificationof abduction with Inference to the Best Explanation (IBE) begs the question,since IBE appears to be covered by Peirce's concept of induction, not that of abduction.Consequently, abduction ought to be distinguished from IBE, at least on Peirce's account. The main aim of the paper, however, is to show that this distinction is most relevant with respect to current problems in philosophy of science and epistemology (like attempts to supply suitable notions of realism and truth as well as related concepts like coherence and unification). In particular, I also try to show that (and in what way) Peirce's inferential triad can function as a method that ensures both coherence and correspondence. It is in this respect that his careful distinction between abduction and induction (or IBE) ought to be heeded.     

Cognitive bias in dizziness: emotional Stroop and autobiographical memories

Dizziness is commonly associated with anxiety, and is often caused by a dysfunction of the balance system. While a link between dizziness and both anxiety disorders and depression has been established, less is known about information processing in dizziness. In the first experiment we tested whether 15 patients with dizziness would display an emotional Stroop effect for panic-related words. Also included was a control group of 15 persons. The Stroop task was preceded by ratings of personal relevance of the Stroop words and followed by a surprise free recall of the words. Results showed a Stroop effect for panic-related words in the dizziness group, but the interaction did not reach significance (p = 0.08). Separate analysis of dizziness-related panic words however resulted in a significant group x condition interaction. In the free recall of Stroop words a main effect of word category was found, with more panic-related words being recalled. The second experiment investigated autobiographical memories in 14 patients with dizziness and 14 matched controls. Results showed a group x condition interaction with less specific memories being recalled following positive cue-words in the dizziness group. The overall pattern of results suggests that dizziness is related to deficits in information processing, which could be targeted in treatment.     

Evolution of the brain and intelligence

Intelligence has evolved many times independently among vertebrates. Primates, elephants and cetaceans are assumed to be more intelligent than 'lower' mammals, the great apes and humans more than monkeys, and humans more than the great apes. Brain properties assumed to be relevant for intelligence are the (absolute or relative) size of the brain, cortex, prefrontal cortex and degree of encephalization. However, factors that correlate better with intelligence are the number of cortical neurons and conduction velocity, as the basis for information-processing capacity. Humans have more cortical neurons than other mammals, although only marginally more than whales and elephants. The outstanding intelligence of humans appears to result from a combination and enhancement of properties found in non-human primates, such as theory of mind, imitation and language, rather than from 'unique' properties.     

Extracting a maximum of useful information from statistical research data

The practice of statistical inference in psychological research is critically reviewed. Particular emphasis is put on the fast pace of change from the sole reliance on null hypothesis significance testing (NHST) to the inclusion of effect size estimates, confidence intervals, and an interest in the Bayesian approach. We conclude that these developments are helpful for psychologists seeking to extract a maximum of useful information from statistical research data, and that seven decades of criticism against NHST is finally having an effect.     

What good leaders actually do: micro-level leadership behaviour,leader evaluations,and team decision quality

We supplement broad definitions of leadership behaviour with the concept of micro-level leadership behaviour, leaders’ verbal and non-verbal visible conduct and interaction. For the context of team decision-making, we identify two potentially beneficial micro-level leadership behaviours, question asking and behavioural mimicry. Specifically, we propose that under conditions of informational complexity and unshared information, participative leadership is most appropriate for team decision-making, that its effects are mediated by inquiring and empathy, and that question asking and mimicry are the behavioural micro-level manifestations of inquiring and empathy. We thus hypothesize that the effect of participative leadership on team decision quality and leader evaluation is mediated by question asking and mimicry. We conduct a laboratory experiment with student teams working on a hidden profile decision-making task and measure question asking through behavioural coding and mimicry with motion sensors. Results show that the effect of participative leadership on decision quality is mediated by question asking, and that the effect of participative leadership on leader evaluation as transformational is mediated by leaders’ behavioural mimicry and question asking. Under control of these micro-level behaviours, team decision quality and leader evaluations were unrelated.     

How differences in perceptions of own and team performance impact trust and job satisfaction in virtual teams

Employees frequently engage in social comparison processes and tend to perceive their own performance as superior compared to that of their peers. We expect this to be particularly salient in virtual teams where employees receive few cues upon which the comparison with other members of their team can be based. With reliance on social comparison and social exchange theory, we propose that such “perceived overperformance” has negative effects on job satisfaction, which is mediated by trust in the team. We confirm this with a sample of field-service employees (n = 753) using structural equation modeling with bootstrapping. We corroborated our findings in focus groups, which suggest the need for performance indicators that are easily communicated to and comprehended by employees to maintain trust and satisfaction.     

A Utility Based Evaluation of Logico-probabilistic Systems

Systems of logico-probabilistic (LP) reasoning characterize inference from conditional assertions interpreted as expressing high conditional probabilities. In the present article, we investigate four prominent LP systems (namely, systems O, P, Z, and QC) by means of computer simulations. The results reported here extend our previous work in this area, and evaluate the four systems in terms of the expected utility of the dispositions to act that derive from the conclusions that the systems license. In addition to conforming to the dominant paradigm for assessing the rationality of actions and decisions, our present evaluation complements our previous work, since our previous evaluation may have been too severe in its assessment of inferences to false and uninformative conclusions. In the end, our new results provide additional support for the conclusion that (of the four systems considered) inference by system Z offers the best balance of error avoidance and inferential power. Our new results also suggest that improved performance could be achieved by a modest strengthening of system Z.