Semi‐parametric proportional hazards models with crossed random effects for psychometric response times

The semi‐parametric proportional hazards model with crossed random effects has two important characteristics: it avoids explicit specification of the response time distribution by using semi‐parametric models, and it captures heterogeneity that is due to subjects and items. The proposed model has a proportionality parameter for the speed of each test taker, for the time intensity of each item, and for subject or item characteristics of interest. It is shown how all these parameters can be estimated by Markov chain Monte Carlo methods (Gibbs sampling). The performance of the estimation procedure is assessed with simulations and the model is further illustrated with the analysis of response times from a visual recognition task.     

THE BEST AND THE REST: REVISITING THE NORM OF NORMALITY OF INDIVIDUAL PERFORMANCE

We revisit a long‐held assumption in human resource management, organizational behavior, and industrial and organizational psychology that individual performance follows a Gaussian (normal) distribution. We conducted 5 studies involving 198 samples including 633,263 researchers, entertainers, politicians, and amateur and professional athletes. Results are remarkably consistent across industries, types of jobs, types of performance measures, and time frames and indicate that individual performance is not normally distributed—instead, it follows a Paretian (power law) distribution. Assuming normality of individual performance can lead to misspecified theories and misleading practices. Thus, our results have implications for all theories and applications that directly or indirectly address the performance of individual workers including performance measurement and management, utility analysis in preemployment testing and training and development, personnel selection, leadership, and the prediction of performance, among others.     

Unrecognized Posttraumatic Stress Disorder as a Treatment Barrier for a Gang-Involved Juvenile Offender

This study examines the case of GH, an 18-year-old Latino male participating in an employment-based delinquency intervention for gang-affiliated youth. Although postintervention measures revealed that GH showed gains on key outcomes (i.e., delinquency, employment), he experienced sporadic treatment setbacks (e.g., work absenteeism, fighting) that disrupted his progress. A comprehensive psychological assessment suggested that his aggressive, illegal behavior and difficulty maintaining employment could have been influenced by previously undiagnosed posttraumatic stress disorder (PTSD). Excerpts from counseling sessions illustrated how reactive aggression, hypervigilance, sleep disruptions, and emotional numbing could have interfered with treatment gains and ultimately contributed to GH's re-arrest. Implications for early, accurate identification of PTSD in delinquency interventions for gang youth are discussed.     

Concealing negative evaluations of a romantic partner's physical attractiveness

Two studies provided evidence that people hide their negative evaluations of their romantic partner's physical attractiveness. This pattern was found using self‐reports of concealment (Study 1) and a behavioral observation measure (Study 2). Participants who engaged in this deception also exhibited elevated speech disfluencies, which is a deception cue. Moderators of concealment were examined. Concealment was especially pronounced for participants high in care for the partner's welfare (Studies 1 and 2), low in commitment (Studies 1 and 2), and high in attractiveness ideals (Study 2). Results suggest that people use deception to regulate their romantic partner's feelings, but that long‐term orientation or desire to maintain closeness may curtail use of this strategy.     

DETERMINATION AND EVALUATION OF RATE MEASUREMENTS IN THE ANALYSIS OF SPACE MEDICAL DATA

Measures of rate of change and of rate of rate of change are developed for application to physiological and psychological data. Examples are given of the use of these measures with heart-rate data for comparisons within and between subjects. It is shown that the measures provide information over and above that offered by means and variances, and that the measures appropriately reflect the impact of external variables.     

FEMALE VS. MALE ABSENCE RATES: A TEMPORAL ANALYSIS

The purpose of this research is to test the importance of temporal trends within absenteeism data for males and females. The data support previous findings of higher absenteeism rates for women when compared to men. The data also indicate the importance of temporal trends as suggested by Dansereau, Alutto, and Markham (1978). Conclusions are drawn concerning the use of absence rates as dependent variables.