What the HEC-C? An Analysis of the Healthcare Ethics Consultant-Certified Program: One Year in

Abstract

Efforts to professionalize the field of bioethics have led to the development of the Healthcare Ethics Consultant-Certified (HEC-C) Program intended to credential practicing healthcare ethics consultants (HCECs). Our team of professional ethicists participated in the inaugural process to support the professionalization efforts and inform our views on the value of this credential from the perspective of ethics consultants. In this paper, we explore the history that has led to this certification process, and evaluate the ability of the HEC-C Program to meet the goals it has set forth for HCECs. We describe the benefits and weaknesses of the program and offer constructive feedback on how the process might be strengthened, as well as share our team’s experience in preparing for the exam.     

What is learned in sequential learning? An associative model of reward magnitude serial-pattern learning

A computational model of sequence learning is described that is based on pairwise associations and generalization. Simulations by the model predicted that rats should learn a long monotonic pattern of food quantities better than a nonmonotonic pattern, as predicted by rule-learning theory, and that they should learn a short nonmonotonic pattern with highly discriminable elements better than 1 with less discriminable elements, as predicted by interitem association theory. In 2 other studies, the model also simulated behavioral "rule generalization," "extrapolation," and associative transfer data motivated by both rule-learning and associative perspectives. Although these simulations do not rule out the possibility that rats can use rule induction to learn serial patterns, they show that a simple associative model can account for the classical behavioral studies implicating rule learning in reward magnitude serial-pattern learning.     

A confirmatory approach to the factor structure of the Boredom Proneness Scale: evidence for a two-factor short form

We analyzed previous exploratory factor analytic structures on the Boredom Proneness Scale (BPS; Farmer & Sundberg, 1986) using confirmatory factor analysis in structural equation modeling in LISREL 8 (J?reskog & S?rbom, 1993). These analyses indicated that 2 factors were generally consistent across 6 exploratory models. Items that had significant loadings on these two factors (N = 12; 6 for each factor) indicated a lack of Internal Stimulation and External Stimulation. In further analysis on these 12 items using LISREL, we found a much improved fit and provided support for a short form version of the original BPS. We also found the shortened version to be invariant across gender. We discuss implications for the more precise measurement of boredom proneness and the use of the scale in applied settings.