Sustained efficacy of dialectical behaviour therapy for borderline personality disorder

Dialectical Behaviour Therapy (DBT) is considered one of the most promising treatments for borderline personality disorder (BPD). Recently, we reported significantly positive effects of 12 months DBT on parasuicidal behaviour and impulsivity in a mixed group of female BPD patients with and without substance abuse. Fifty-eight women with BPD were randomly assigned to either 52 weeks of DBT or treatment as usual (TAU). Follow-up assessment took place at 78 weeks, i.e., 6 months after discontinuation of DBT. Participants were clinical referrals from addiction treatment and psychiatric services. Outcome measures included parasuicidal behaviour, impulsivity and substance abuse. Six months after treatment discontinuation, the benefits of DBT over TAU in terms of lower levels of parasuicidal and impulsive behaviours, and in alcohol use, sustained. No differences between the treatment conditions were found for drug abuse. In conclusion, DBT seems to have a sustained effect on some of the core symptoms of BPD and on alcohol problems in a mixed population of female borderline patients with and without substance abuse problems.     

Combined effect of goal setting and self-talk in performance of a soccer-shooting task

To examine the combined effect of goal setting and self-talk, 41 professional and semiprofessional soccer players from four different teams were tested on a soccer-shooting task. Teams were assigned to one of four conditions: (a) self-talk, (b) goal setting, (c) goal setting plus self-talk, and (d) do your best control. Subjects performed one baseline measurement and three experimental sessions. Analysis showed that performance, compared to the do your best condition, in the combined condition is immediately enhanced, whereas self-talk and goal-setting effects were significant from Session 3. No significant differences in performance were observed among experimental groups, except in Session 2, during which the combined group scored significantly better than the goal-setting group. It seems that, whereas both goal setting and self-talk are effective in enhancing performance, some advantage may be derived from a combined intervention. Findings are discussed in the perspective of past research efforts on goal setting and self-talk.     

Linear separability in superordinate natural language concepts

Two experiments are reported in which linear separability was investigated in superordinate natural language concept pairs (e.g., toiletry-sewing gear). Representations of the exemplars of semantically related concept pairs were derived in two to five dimensions using multidimensional scaling (MDS) of similarities based on possession of the concept features. Next, category membership, obtained from an exemplar generation study (in Experiment 1) and from a forced-choice classification task (in Experiment 2) was predicted from the coordinates of the MDS representation using log linear analysis. The results showed that all natural kind concept pairs were perfectly linearly separable, whereas artifact concept pairs showed several violations. Clear linear separability of natural language concept pairs is in line with independent cue models. The violations in the artifact pairs, however, yield clear evidence against the independent cue models.     

Using response times to detect aberrant responses in computerized adaptive testing

A lognormal model for response times is used to check response times for aberrances in examinee behavior on computerized adaptive tests. Both classical procedures and Bayesian posterior predictive checks are presented. For a fixed examinee, responses and response times are independent; checks based on response times offer thus information independent of the results of checks on response patterns. Empirical examples of the use of classical and Bayesian checks for detecting two different types of aberrances in response times are presented. The detection rates for the Bayesian checks outperformed those for the classical checks, but at the cost of higher false-alarm rates. A guideline for the choice between the two types of checks is offered.This study received funding from the Law School Admission Council (LSAC). The opinions and conclusions contained in this paper are those of the authors and do not necessarily reflect the policy and position of LSAC. The authors are most indebted to Wim M. M. Tielen for his computational assistance and to the US Defense Manpower Data Center for the permission to use the ASVAB data set in the empirical examples.     

Velocity dependence of the interocular transfer of dynamic motion aftereffects

It is well established that motion aftereffects (MAEs) can show interocular transfer (IOT); that is, motion adaptation in one eye can give a MAE in the other eye. Different quantification methods and different test stimuli have been shown to give different IOT magnitudes, varying from no to almost full IOT. In this study, we examine to what extent IOT of the dynamic MAE (dMAE), that is the MAE seen with a dynamic noise test pattern, varies with velocity of the adaptation stimulus. We measured strength of dMAE by a nulling method. The aftereffect induced by adaptation to a moving random-pixel array was compensated (nulled), during a brief dynamic test period, by the same kind of motion stimulus of variable luminance signal-to-noise ratio (LSNR). The LSNR nulling value was determined in a Quest-staircase procedure. We found that velocity has a strong effect on the magnitude of IOT for the dMAE. For increasing speeds from 1.5 deg s(-1) to 24 deg s(-1) average IOT values increased about linearly from 18% to 63% or from 32% to 83%, depending on IOT definition. The finding that dMAEs transfer to an increasing extent as speed increases, suggests that binocular cells play a more dominant role at higher speeds.     

Estimating the mean effect size in meta-analysis: Bias,precision, and mean squared error of different weighting methods

Although use of the standardized mean difference in meta-analysis is appealing for several reasons, there are some drawbacks. In this article, we focus on the following problem: that a precision-weighted mean of the observed effect sizes results in a biased estimate of the mean standardized mean difference. This bias is due to the fact that the weight given to an observed effect size depends on this observed effect size. In order to eliminate the bias, Hedges and Olkin (1985) proposed using the mean effect size estimate to calculate the weights. In the article, we propose a third alternative for calculating the weights: using empirical Bayes estimates of the effect sizes. In a simulation study, these three approaches are compared. The mean squared error (MSE) is used as the criterion by which to evaluate the resulting estimates of the mean effect size. For a meta-analytic dataset with a small number of studies, theMSE is usually smallest when the ordinary procedure is used, whereas for a moderate or large number of studies, the procedures yielding the best results are the empirical Bayes procedure and the procedure of Hedges and Olkin, respectively.     

The human element in car following models

This commentary distinguishes between the engineering-inspired formalisms used by Brackstone, M., and McDonald, M. (Transportation Research Part F (1999)) and the psychological knowledge of, and assumptions about human behaviour when car following. It outlines a preliminary mathematical model, based on psychological knowledge about car following behaviour by human drivers, which could be applied in traffic engineering, as a means of bringing these two ways of studying car following closer together.