Measuring structural model invariance across internet-recruited and hospital-recruited IBD patients: Experiential avoidance’s effect on psychopathological symptoms

Current Psychology - Research has questioned whether it is feasible to assess psychosocial variables through web-based recruitment methods. Previous literature on IBD focused exclusively on testing...     

Effect of Concurrent Visual Feedback Frequency on Postural Control Learning in Adolescents

The purpose was to find better augmented visual feedback frequency (100% or 67%) for learning a balance task in adolescents. Thirty subjects were divided randomly into a control group, and 100% and 67% feedback groups. The three groups performed pretest (3 trials), practice (12 trials), posttest (3 trials) and retention (3 trials, 24 hours later). The reduced feedback group showed lower RMS in the posttest than in the pretest (p = 0.04). The control and reduced feedback groups showed significant lower median frequency in the posttest than in the pretest (p < 0.05). Both feedback groups showed lower values in retention than in the pretest (p < 0.05). Even when the effect of feedback frequency could not be detected in motor learning, 67% of the feedback was recommended for motor adaptation.     

Comparing the Actual and Expected Persuasiveness of Evidence Types: How Good are Lay People at Selecting Persuasive Evidence?

Whereas there are many publications in which argumentation quality has been defined by argumentation theorists, considerably less research attention has been paid to lay people’s considerations regarding argument quality. Considerations about strong and weak argumentation are relevant because they can be compared with actual persuasive success. Argumentation theorists’ conceptions have to some extent been shown to be compatible with actual effectiveness, but for lay people such compatibility has yet to be determined. This study experimentally investigated lay people’s expectations about the persuasiveness of anecdotal, statistical, causal, and expert evidence, and compared these expectations with the actual persuasiveness of these evidence types. Dutch and French participants (N = 174) ranked four types of evidence in terms of their expected persuasiveness for eight different claims. Both cultural groups expected statistical evidence to be the most persuasive type of evidence to other people, followed by expert, causal, and, finally, anecdotal evidence. A comparison of these rankings with the results of Hornikx and Hoeken (Communication Monographs 74, 443–463, 2007, Study 1) on the actual persuasiveness of the same evidence types reveals that people’s expectations are generally accurate: How relatively persuasive they expect evidence types to be often corresponded with their actual persuasiveness.

Stability of Cognitive Bias for Threat Cues in Phobia

The present study examined whether the cognitive bias for threat is a stable phenomenon in spider phobics and not in nonphobic controls. The rationale of this study was that the use of emotional bias for individual assessment in clinical practice requires stability of this phenomenon. In order to assess the stability of the emotional bias, the spider Stroop task was administered twice to spider phobics and controls, with a time lag of 3 weeks. In two experiments, spider phobics (n_{exp. 1} = 20; n_{exp. 2} = 33) and controls (n_{exp. 1} = 24; n_{exp. 2} = 25) were selected on basis of a structured interview. In the second experiment, subjects anticipated exposure to a real-life spider. Emotional bias was inferred from color-naming latencies on spider words versus control words. In line with our prediction, the bias for threat was stable in spider phobic individuals but not in controls. This stability could not be attributed to a general cognitive characteristic because a standard Stroop task did not differentiate between the spider phobics and the controls. The results support the view that cognitive processing of threat in anxiety is stable. It is proposed to use both the emotional bias and its stability as measures of the constraints on the flexibility of the cognitive fear-network.     

Experimental challenges to theories of classical conditioning: application of an attentional model of storage and retrieval

Several studies have recently challenged the accuracy of traditional models of classical conditioning that account for some experimental data in terms of a storage deficit. Among other results, it has been reported that extinction of the blocking or overshadowing stimulus results in the recovery of the response to the blocked or overshadowed stimulus, backward blocking shows spontaneous recovery, extinction of the training context results in the recovery from latent inhibition, interposing a delay between conditioning and testing in latent inhibition increases latent inhibition, and latent inhibition antagonizes overshadowing. An existing neural network model of classical conditioning (N. A. Schmajuk, Y. Lam, & J. A. Gray, 1996), which includes an attentional mechanism controlling both storage and retrieval of associations, is able to quantitatively describe these results.     

Response selection influences inhibition of return

Previous work has suggested that there may be a relationship between the magnitude of inhibition of return (IOR) and the number of possible responses in the perceptual‐motor task. To test this possibility, the present experiment used a display that contained four horizontally aligned cue/target locations. In different blocks of trials, subjects responded to the target either with a one‐response detection key press, a two‐response localisation key press, or a four‐response localisation key press. The results showed the largest magnitude of IOR was found in the one‐response condition and the least in the four‐response condition. These results suggest that IOR may be most effective in inhibiting relatively prepotent responses and the inhibitory effect weakens when responses require more intricate sensorimotor mappings.     

Word length effects are not due to proactive interference

In immediate serial recall short words are better recalled than long words. The word length effect has become pivotal in the development of short-term memory models. The current research tests one explanation of the word length effect; that it is related to proactive interference (PI). We report two experiments in which the relationship is directly tested. In the first experiment we show that word length effects can be observed over the first few trials in an experiment and that the effect shows itself primarily in the number of omissions made. In the second experiment we simultaneously test for PI and word length effects. Strong word length effects were present but there was little evidence for PI influencing either overall levels of recall or the word length effect. In short, no empirical support was found for PI as an explanation of the word length effect.     

Exploring the structure of Zuckerman's Sensation Seeking Scale, Form V in a Spanish sample

The psychometric properties of the original version of the Sensation Seeking Scale (Form V) were analyzed in a sample of 1,006 Spanish university students. The total sample was randomly split into two halves. Exploratory factor analyses were conducted on the calibration sample (n=504), whereas confirmatory factor analysis procedures were performed on the validation sample (n=502). As previous studies have suggested, exploratory factor structure indicated that several items load on a different factor or have loadings lower than .30. Those problems were surpassed when the best five items per factor were factor analyzed again. The confirmatory factor analyses showed that a 4-factor simple structure model gave a clearly imperfect fit. A model of 20 items (5 items per factor) gave a better fit, although with similar problems regarding the low reliabilities of the Experience Seeking and Boredom Susceptibility subscales. The need for improvement of the four-factor structure is discussed.     

Modeling the Dynamics of Risky Choice

Individuals make decisions under uncertainty every day. Decisions are based on incomplete information concerning the potential outcome or the predicted likelihood with which events occur. In addition, individuals' choices often deviate from the rational or mathematically objective solution. Accordingly, the dynamics of human decision making are difficult to capture using conventional, linear mathematical models. Here, we present data from a 2-choice task with variable risk between sure loss and risky loss to illustrate how a simple nonlinear dynamical system can be employed to capture the dynamics of human decision making under uncertainty (i.e., multistability, bifurcations). We test the feasibility of this model quantitatively and demonstrate how the model can account for up to 86% of the observed choice behavior. The implications of using dynamical models for explaining the nonlinear complexities of human decision making are discussed as well as the degree to which the theory of nonlinear dynamical systems might offer an alternative framework for understanding human decision making processes.