Error Feedback Frequency Affects Automaticity But Not Accuracy and Consistency After Extensive Motor Skill Practice

Earlier studies addressed the effects of feedback frequency on movement accuracy and consistency. The authors additionally addressed the effects on motor automatization. High error feedback frequencies may induce attentional control processes and impede motor automatization. In a pre-post design, 42 participants were assigned to 2 groups with different feedback frequencies and practiced an arm movement sequence with 760 trials in 5 sessions. The 100% group practiced with feedback on 3 movement reversals of the sequence after each trial. The 14% group practiced with 14% frequency according to a fading schedule. Only the 14% group showed a decrease in dual-task costs indicating an increase in automaticity. Group differences in movement accuracy and consistency were not evident.     

Evidence for the Trait-Impulsivity Etiological Model in a Clinical Sample: Bifactor Structure and Its Relation to Impairment and Environmental Risk

The trait-impulsivity etiological model assumes that a general factor (trait-impulsivity) underlies attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and other externalizing disorders. We investigated the plausibility of this assumption by testing the factor structure of ADHD and ODD in a bifactor framework for a clinical sample of 1420 children between 6 and 18 years of age (M = 9.99, SD = 3.34; 85% male). Further, the trait-impulsivity etiological model assumes that ODD emerges only if environmental risk factors are present. Our results support the validity of the trait-impulsivity etiological model, as they confirm that ADHD and ODD share a strong general factor of disruptive behavior (DB) in this clinical sample. Furthermore, unlike the subdimensions of ADHD, we found that the specific ODD factor explained as much true score variance as the general DB factor. This suggests that a common scale of ADHD and ODD may prove to be as important as a separate ODD subscale to assess externalizing problems in school-age children. However, all other subscales of ADHD may not explain sufficient true score variance once the impact of the general DB factor has been taken into consideration. In accordance with the trait-impulsivity model, we also showed that all factors, but predominantly the general factor and specific inattention factor, predicted parent-rated impairment, and that predominantly ODD and impulsivity are predicted by environmental risk factors.     

Complex Environmental Reactions,as a New Concept to Describe Spontaneous “Paranormal” Experiences

A systemic phenomenological model that assumes the movability of the Cartesian cut is proposed and elucidated by means of a single exploratory case study. The model assumes that a continuum from purely psychosomatic disorders to RSPK cases exists. The degree of externalization (locus of control) of the affected person serves as an ordering parameter for the location of the Cartesian cut. It turns out that the dynamics of the disorder develops in four phases, like in the RSPK-model of the MPI. However, in contrast to the decline phase of the RSPK cases (because of the NT-axiom), CER cases lead to petrification of the complaints.     

Flanker effects with faces may depend on perceptual as well as emotional differences

Do threatening or negative faces capture attention? The authors argue that evidence from visual search, spatial cuing, and flanker tasks is equivocal and that perceptual differences may account for effects attributed to emotional categories. Empirically, the authors examine the flanker task. Although they replicate previous results in which a positive face flanked by negative faces suffers more interference than a negative face flanked by positive faces, further results indicate that face perception is not necessary for the flanker-effect asymmetry and that the asymmetry also occurs with nonemotional stimuli. The authors conclude that the flanker-effect asymmetry with affective faces cannot be unambiguously attributed to emotional differences and may well be due to purely perceptual differences between the stimuli.     

Effects of objective and subjective account components on forgiving

The authors explored the effects of the components of a harm-doer's account of her transgression on the victims' emotional reactions to the transgression and to the character traits that she attributes to the harm-doer. Participants were 480 people whom the authors asked to imagine an incident in which they were harmed by the careless behavior of a friend. Subsequently, the authors offered participants an account of the harm-doer. In a 2 x 2 x 2 x 2 x 2 between-subjects design, the authors manipulated 5 account components: Admitting Fault, Admitting Damage, Expressing Remorse, Asking for Pardon, and Offering Compensation. The authors measured the participants' perceptions of these components. Results indicated that (a) the subjective perception of account components occurs schematically so that components are implicitly perceived without being objectively present, (b) objective components affect victims' reactions via subjective perceptions of these components, (c) personality factors (Irreconcilability, Interpersonal Trust, and Trait Anger) affect victims' reactions directly. Finally, certain configurations of account components are more effective than others. Specifically, asking for pardon had an effect on forgiving only when it was combined with an acknowledgment of the damage and a compensation offer. This result suggests that in this situation, the victim perceives a harm-doer's asking for pardon without the other components as an insincere apology.     

A Logic For Inductive Probabilistic Reasoning

Inductive probabilistic reasoning is understood as the application of inference patterns that use statistical background information to assign (subjective) probabilities to single events. The simplest such inference pattern is direct inference: from “70% of As are Bs” and “a is an A” infer that a is a B with probability 0.7. Direct inference is generalized by Jeffrey’s rule and the principle of cross-entropy minimization. To adequately formalize inductive probabilistic reasoning is an interesting topic for artificial intelligence, as an autonomous system acting in a complex environment may have to base its actions on a probabilistic model of its environment, and the probabilities needed to form this model can often be obtained by combining statistical background information with particular observations made, i.e., by inductive probabilistic reasoning. In this paper a formal framework for inductive probabilistic reasoning is developed: syntactically it consists of an extension of the language of first-order predicate logic that allows to express statements about both statistical and subjective probabilities. Semantics for this representation language are developed that give rise to two distinct entailment relations: a relation ⊨ that models strict, probabilistically valid, inferences, and a relation that models inductive probabilistic inferences. The inductive entailment relation is obtained by implementing cross-entropy minimization in a preferred model semantics. A main objective of our approach is to ensure that for both entailment relations complete proof systems exist. This is achieved by allowing probability distributions in our semantic models that use non-standard probability values. A number of results are presented that show that in several important aspects the resulting logic behaves just like a logic based on real-valued probabilities alone.     

Top-down contingencies in peripheral cuing: The roles of color and location

According to contingent-processing accounts, peripheral cuing effects are due to the cues' inadvertent selection for processing by control settings set up for targets (e.g., C. L. Folk, R. W. Remington, & J. C. Johnston, 1992). Consequently, cues similar to targets should have stronger effects than do dissimilar cues. In the current study, this prediction is confirmed for cue-target combinations similar or dissimilar in the static features of color (Experiments 1-3) and location (Experiment 4), even when both cues and targets share the dynamic feature of abrupt onset. Perceptual priming (Experiment 2) and reallocation of attention did not account for similar-dissimilar differences (Experiments 3 and 4). The results are best explained by top-down-contingent attentional effects of the similar cues. Implications for bottom-up accounts of peripheral cuing effects are discussed. ((c) 2003 APA, all rights reserved)