2a:T561,

Two different approaches for calculating confidence intervals (CIs) for individual scores in psychological testing practice have been discussed in the literature within the framework of classical test theory. The traditional approach (CI: observed score ± z · standard error of measurement) has been criticized because it does not consider the phenomenon that, with imperfect measurement, true scores will be closer to the population average than the observed scores (regression to the mean). The regression approach (CI: regression-based true score estimate ± z · standard error of the estimate) takes this effect into account, but has the disadvantage that it leads to confidence intervals that are on a different scale than the observed scores. The different scaling occurs because true scores have a smaller standard deviation than observed scores, and the extent of this shrinkage depends on the reliability of the test. Here, I suggest a scale correction for the regression-based true score estimate to preserve the original scaling. Simulations indicate that this approach has the desired properties and outperforms the two existing approaches. The regression approach with scale correction is therefore recommended for calculating confidence intervals for individual scores in psychological testing practice.

2b:T473,

Fifty-five children and adolescents with complicated mild–severe traumatic brain injury (TBI) completed the Wechsler Intelligence Scale for Children—Fifth Edition (WISC–V; Wechsler, 2014) within 1 to 12 months post-injury. Compared with demographically matched neurologically healthy controls, selected from the WISC–V standardization sample, participants with TBI demonstrated statistically significantly lower scores across WISC–V indices. The working memory, processing speed, and cognitive proficiency indices also demonstrated statistically significant negative correlations with brain injury severity based on time to follow commands. Logistic regression analyses unequivocally supported a priori criteria for the processing speed index and partially supported the cognitive proficiency index (but not the working memory index) in accurately predicting brain injury versus control group membership. In conclusion, our results provided moderate support for the criterion-related validity of the WISC–V cognitive proficiency index in the evaluation of sequelae of pediatric traumatic brain injury.

2c:T4a4,

This study compares the predictive accuracy of sexual reoffending using dynamic risk factors’ sum score (mechanical totals) and nodewise predictability, a model accounting for their interrelationships. Dynamic risk factors of North American men (N = 5,315) were measured by the STABLE-2007. The area under the curve (AUC) of both methods was determined by splitting the dataset at a [20:80] ratio, repeated over 300 iterations with random training and test samples. Mechanical totals’ predictive accuracy outperformed nodewise predictability (AUC_mechanical = 0.67, SD = 0.04; AUC_nodewise = 0.50, SD = 0.03; t[299] = 80.2, Cohen’s d = 4.63, p < .001). This suggests that the conventional approach to predicting sexual reoffending is superior to a model considering dynamic risk factors’ interrelationships at the group level. Future research should explore whether nodewise predictability’s accuracy improves by incorporating temporal effects, subject variances, and centrality indices of individualized networks.

2d:T4ac,

This study evaluated the psychometric properties of the modified brief Personality Inventory for DSM-5 (PID5BF + M) in primary care (PC) using data from n = 1,030 German patients. Furthermore, differences in maladaptive personality traits between PC patients and the general population were explored. Confirmatory factor analysis su