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Packrat pance predictor1/31/2024 Profession by defining the standards for PA education and evaluating PA educational The ARC-PA protects the interests of the public and PA While programs differ inĭesign, sequencing, content, and degree, they all must comply with minimal benchmarksįor accreditation by the Accreditation Review Commission on the Education of PhysicianĪssistants (ARC-PA). Today, there are more than 134 programs offering professionalĬertificates, baccalaureate degrees, and master’s degrees. Credentials and standards of education is a hallmark of the Healthcare providers who perform evaluative, diagnostic and therapeutic skills under the Today, Physician Assistants (PAs) are formally educated, nationally certified PACKRAT appears to predict student outcome on the PANCE. ![]() Significant relationship between PACKRAT scores and PANCE performance (P<0.001).Ĭonclusion: PACKRAT scores are strongly correlated with PANCE performance. PACKRAT and PANCE scores showed correlation coefficients of 0.602 (P<0.001) for Results: Combined correlations of the class of 2003-2004 between Of PACKRAT results with respect to passing the PANCE was accomplished using linear The relationship between the scores wasĮvaluated by determination of the correlation coefficient. Raw scores (administered after graduation). The data of interests included PACKRAT 1 (administered at the end of theįirst year), PACKRAT 2 (administered at the end of the second year), and PANCE exam Scores served as a predictor of PANCE scores for Wichita State University PA classesĢ003-2004. Methodology: The purpose of this study was to evaluate whether PACKRAT exam PA, practice exams like the Physician Assistant Clinical Knowledge Rating andĪssessment Tool (PACKRAT) may be a good predictor for PANCE performance. Knowing that program completion and PANCE completion are required to practice as a In addition, programs must adequately prepare students for successfulĬompletion of the Physician Assistant National Certifying Examination (PANCE). Future research should examine which specific noncognitive traits measured in interviews can add value to predictability.Introduction: The ultimate goal for physician assistant programs is to provide the rightĪmount of education and clinical experience for preparation of their students for clinical Years of health care experience, grades on prerequisites, and demographics were not significant predictors across programs but did have significance in certain individual institutions. Each of these four predictors can be plugged into predictability tables to estimate the probability of achieving various score intervals on the PANCE.Ī model of equations and predictors can be used to project how successful a physician assistant (PA) graduate will be on PANCE performance. ![]() The PACKRAT scores were consistently the best predictors of performance on the PANCE. Expectancy tables were developed to provide estimation of PANCE performance, given the various score ranges on each of the predictor variables.įour predictors made a significant contribution to the final regression equation: GPA, GRE-verbal, GRE-quantitative, and PACKRAT scores. Multiple regression analysis was used to develop prediction equations. While PACKRAT scores are not applicable to admission selection, they are a strong midpoint predictor of PANCE performance. Multiple predictors were measured: undergraduate grade point average (uGPA), graduate GPA, prerequisite grades, Graduate Record Exam (GRE)-verbal, GRE-quantitative, GRE combined, interview scores, years of health care experience, age, gender, and first-year scores on the Physician Assistant Clinical Knowledge Rating and Assessment Tool (PACKRAT). ![]() The purpose of this study was to create a model of cognitive and noncognitive measures that could estimate the probability of achieving a given level of performance on the Physician Assistant National Certifying Examination (PANCE).Ī retrospective records review of admissions information used by six universities was conducted to discover which factor had the most impact on the dependent variable of the PANCE score.
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