PA practice analysis: Multidisciplinary tasks, knowledge, and skills.

In conducting its practice analysis, the National Commission on Certification of Physician Assistants incorporated new approaches in 2015. Twelve groups of PAs identified knowledge, tasks, and skills required for practice not only in primary care, but also in 11 practice focus areas (specialties). In addition, a list of diseases and disorders likely to be encountered was identified for each specialty. A representative sample of 15,771 certified PAs completed an online algorithm-driven survey and data were analyzed to determine how practice is the same for all PAs and how it differs depending on the practice focus. Larger differences between PAs in different specialties were seen in the frequency ratings of diseases and disorders encountered than for ratings of task, knowledge, and skill statements. Distinctions between PAs in primary care and those in other specialties were more pronounced, as the specialty was more divergent from primary care.

A Retrospective Review of Physician Assistant Education Association End of Rotation Examinations.

The PAEA End of Rotation™ exams were developed to assess medical knowledge of the 7 core supervised clinical practice experiences, including Emergency Medicine, Family Medicine, Internal Medicine, General Surgery, Pediatrics, Women's Health, and Psychiatry and Behavioral Health. The examinations were created by experienced PA educators and national exam experts with continual review and content updates. This paper summarizes changes since the inception of the exam program, including test construction and development, reliability, validity, and scale scoring. They are built using content blueprints and topic lists that were developed by experienced PA educators and national examination experts. All examination items are peer reviewed by PA educators and statistically validated for accuracy and consistency by psychometricians who specialize in examination development. This article will review the changes since the inception of the exam program including test construction and development, reliability, validity and scale scoring. Also addressed is an update on the PAEA End of Curriculum™ examination.

Survey analysis with mixture Rasch models.

This research provides a demonstration of the utility of mixture Rasch models (MRMs) for the analysis of survey data. Specifically, a framework based on a mixture partial credit model (MPCM) will be presented. MRMs are able to provide information regarding latent classes (subpopulations without manifest grouping variables) and separate item parameter estimates for each of these latent classes. Analyses can provide insight into how a survey scale is functioning and how survey respondents differ from one another. The paper provides a detailed example with real survey data from a higher education survey administered to college seniors through all stages of model estimation and selection, description of model results, and follow-up analyses using the MRM results. The results found three distinct classes and discussed each class in terms of the pattern of item parameter estimates within class. The paper also investigated differences of class assignment based on the college the student belongs to on campus.