Physician Assistant National Research Articles

Comparative analysis of Physician Assistant/Associate National Certifying Examination (PANCE) performance trends: pre and during COVID-19 era

BackgroundCOVID-19 significantly impacted physician assistant/associate (PA) education programs. Most programs transitioned didactic and clinical education from in-person to remote, and clinical training opportunities diminished. Graduates of accredited PA programs take the Physician Assistant National Certifying Examination (PANCE), a five-hour exam with 300 multiple-choice questions, and must attain or exceed the scaled passing score of 350 (range: 200–800). We examined first-time examinees’ trends in PANCE scores and passing rates three years prior to the pandemic and three years during.MethodsWe analyzed data (N = 59,459) from the National Commission on Certification of Physician Assistants. The two primary outcomes were PANCE scores and pass rates. The main exposure was the timeframe: three years pre-pandemic (2017–2019) and three years during the pandemic (2020–2022). The 2017–2018 scores were equated to the new passing standard implemented in 2019. Covariates included age, gender, years the PA program has been accredited, program region, and rural-urban setting. Analyses consisted of descriptive, bivariate, and multivariate statistics.ResultsThe mean PANCE score and pass rate during the six-year study period were 463 and 93%, respectively. In unadjusted analyses comparing each year individually, mean PANCE score was highest in 2020 and lowest in 2022 than in all other years except for 2017. When comparing each pandemic year to the pooled three pre-pandemic years and adjusting for test-taker and PA program covariates, examinees scored significantly higher in 2020; there was no difference in 2021, and they scored lower in 2022. When controlling for covariates, examinees had 1.24 higher odds of failing in 2022 compared to the pooled pre-pandemic period.ConclusionFindings suggest that PANCE scores and pass rates were impacted during the third year of the pandemic. PANCE assesses if examinees have the essential clinical knowledge to enter the PA profession. It is crucial to determine whether the pandemic affected PANCE scores and pass rates to ensure PAs provide safe and high-quality patient care.

Analyzing the Changes to the 2025 Physician Assistant National Certifying Examination Blueprint.

Analyzing the Changes to the 2025 Physician Assistant National Certifying Examination Blueprint.

Implications of Requiring the Physician Assistant College Admissions Test on Physician Assistant Program Applicant Pool: Lessons Learned.

To present a physician assistant (PA) program's experience and lessons learned by requiring a new standardized test as an admissions requirement. A state academic PA program changed an admission requirement by requiring the Physician Assistant College Admissions Test (PA-CAT) instead of the Graduate Record Examination. The admissions requirement change correlated with a 72% drop in the applicant pool. Data from previous literature present background information on standardized testing and predictors of student success. The program-specific data retrospectively evaluate changes in application numbers. Several studies have evaluated various preadmission metrics and their correlation to student success. However, the PA-CAT and its predictor of student success in the program and passing the Physician Assistant National Certifying Exam still need to be evaluated. Requiring standardized testing increases the barrier to applicant PA school admissions. Despite its potential, the PA-CAT has yet to be extensively studied to predict success in matriculated PA students and should be used cautiously. The implications of using the PA-CAT as an admissions requirement are a potential decrease in the strength of applicants, the number of total applicants, and the overall decline in the quality of graduating PAs. This cautionary note is crucial for maintaining the quality and integrity of our PA programs.

Mock Board Exam Writing Groups in Physician Assistant Education: A Method to Enhance Curriculum and Mentor Junior Faculty.

Ensuring students are prepared for the Physician Assistant National Certification Exam (PANCE) is an institutional priority for all physician assistant programs. While many factors predicting PANCE performance have been investigated, exploration and discussions of interventions to improve PANCE performance are limited. Repeated exposure to board-style questions has been shown to improve board scores in similar populations. Currently, existing question banks cannot be used to generate secure summative examinations, and commercial question banks may perpetuate inequitable access among physician assistant (PA) students. To address this issue, the University of Oklahoma Physician Assistant program used a community of practice model to create a mock board exam writing group. The group was created to facilitate the development of 9 PANCE-style exams to bolster students' clinical preparedness and PANCE performance. These writing groups also provided a platform for junior faculty to receive feedback and guidance from senior colleagues, thus facilitating and promoting mentorship. This article highlights the potential benefits of mock board exam writing groups in PA education and provides insight into their development and implementation.

Utility of Noncognitive Admission Variables in the Prediction of Academic Success

Background: Graduate healthcare education programs commonly rely on cognitive measures such as grade point average for admission to their programs. Noncognitive measures are also collected at the time of application, with less information known about their utility in prediction of academic outcomes. This analysis observed the following noncognitive admission domains and their relationship with PA student academic success: employment hours, shadowing experience hours, research hours, hours spent in extracurricular activities, healthcare related activity hours, leadership experience, patient care experience hours, teaching hours, and volunteerism hours.
 Objective: This archival analysis aims to determine if noncognitive admission variables are predictive of Physician Assistant National Certifying Examination (PANCE) failure or academic attrition at a West Texas Physician Assistant (PA) Program.
 Methods: Institutional Review Board exemption was obtained; then a series of univariate logistic regression models were constructed to predict using applicant self-reported cumulative experience hours. Five cohorts (n=235) were evaluated by noncognitive variables using R statistical software (version 4.1.2).
 Results: Patient care experience hours showed a positive association with PANCE failure, while healthcare and teaching experience had positive trends with attrition. High GPA was protective against attrition when controlled for employment, research, and shadowing experiences, and also when controlled for leadership and patient care experience. High GPA was not a protective factor for PANCE failures.
 Conclusion: Contrary to our hypotheses, increased self-reported experiences did not show a protective effect against PANCE failure or attrition but were instead detrimental.

Path Analysis of Admission and Program Achievement Variables to Predict Physician Assistant National Certifying Examination Performance: Results of a 6-Year Study

Introduction The primary aim of this study was the examination of relationships between students' preadmission achievement, intraphysician assistant (PA) program achievement, and Physician Assistant National Certifying Examination (PANCE) performance using path analysis regression. Second, this study explored the extent to which the theoretical model differed based on several key demographic variables: sex and undergraduate major. Methods This retrospective, single-institution study examined data from 2015 to 2022 (n = 322). Analysis included descriptive statistics, bivariate correlations, and path analysis using structural equation modeling to examine direct, indirect, and total effects of all predictors on the primary outcome variable, PANCE. Results PACKRAT-I demonstrated the largest total effect size on PANCE total score (β = .45). Total effect size on PANCE was small yet significant for prerequisite grade point average (GPA), Graduate Record Exam verbal and quantitative subscores, a comprehensive didactic cardiology examination, didactic and clinical year GPAs, and End of Rotation examination mean score (β < .25). The relationship between mean preceptor evaluation score and PANCE was nonsignificant. Subgroup analyses showed differences between female and male in the relationship between several didactic variables and preceptor evaluations. No differences were detected between groups based on undergraduate major. Discussion This PANCE analysis revealed relationships among pre-PA and intra-PA performance metrics that may subsequently support data-informed strategies for programs to identify at-risk students, aid student success, and support the assessment of curriculum. Future studies should replicate the approach using a larger, multi-institution sample that examines additional preprogram and intraprogram achievement variables.

Physician Assistant Program Accreditation Analysis and Survey of Program Directors.

To inform physician assistant program directors through citation analysis after implementation of the Accreditation Review Commission on Education for the Physician Assistant (ARC-PA) Accreditation Standards, 5th edition. This research used descriptive statistics, Pearson correlation, and the coefficient of determination to analyze the citations reported by ARC-PA during January 2021 to February 2023. Concurrent first-time taker Physician Assistant National Certifying Exam (PANCE) results were used to determine whether a correlation exists between pass rates and citations. In addition, a survey was sent to each institution's current program director to investigate leadership concerns and differences between programs placed on a provisional, continued, or probation status by ARC-PA. Of the 98 program submissions for accreditation, 13 submissions resulted in a probation status outcome. For these 13 programs placed on probation, 46.2% and 30.8% were cited for being noncompliant with leadership Standards A2.09 and A1.02, respectively. Pearson correlation analysis indicates a significant negative correlation between ARC-PA citations and first-time taker PANCE pass rates ( P = .023, 95% confidence interval [CI] = [-0.49 to -0.04]). This is particularly true for programs with continued accreditation ( P = .007, 95% CI = [-0.67 to -0.13]) and programs that performed below the 85% benchmark ( P = .013, 95% CI = [-0.94 to -0.22]) for first-time taker PANCE pass rates. Although a negative correlation is observed between the number of levied citations and PANCE pass rates, the coefficient of determination does not indicate that the number of citations can predict PANCE pass rates ( R2 = 0.0368). Regarding survey data, 42.86% of programs placed on probation cited institutional support as their biggest program weakness or threat. Conversely, 22.22% of programs with provisional status and 12.5% of programs with continued status reported institutional support as their biggest weakness or threat. This research identifies leadership as a deficit of concern associated with programs placed on probation. In addition, a significant negative correlation exists between the number of citations and first-time taker PANCE pass rates-especially for programs with first-time taker PANCE pass rates below 85% or for programs with continued accreditation status.

Impact of Integrated Pharmacology Instruction by Principal Faculty Pharmacists in Two Physician Assistant Programs: A Retrospective Study.

In recent years, there has been a growing trend toward integrating pharmacology instruction into physician assistant (PA) programs by dedicated PA faculty pharmacists. Pharmacists train to become medication experts. Incorporating pharmacist instruction in a PA program during the didactic year provides PA students with an early opportunity to experience interprofessional education and interdisciplinary synergy through clinical application. This article presents a retrospective study that aims to evaluate the impact of integrated pharmacology instruction by principal PA faculty pharmacists on student satisfaction and standardized assessment metrics. Student satisfaction was measured by course evaluations and exit/alumni surveys. Standardized metrics included Physician Assistant Clinical Knowledge Rating and Assessment Tool and Physician Assistant National Certifying Exam assessments. The findings indicate that having a principal faculty member with specialized expertise in pharmacology has improved the overall course satisfaction, knowledge, and competence of PA students and perceptions of the relevance and effectiveness of pharmacology instruction in their clinical practice. The results of this study support the value of using pharmacist faculty members in PA programs to enhance the quality of pharmacology instruction and ultimately contribute to the success of PA students in their professional careers.

The Application of Adaptive Minimum Match k-Nearest Neighbors to Identify At-Risk Students in Health Professions Education.

When learners fail to reach milestones, educators often wonder if any warning signs could have allowed them to intervene sooner. Machine learning can predict which students are at risk for failing a high-stakes certification examination. If predictions can be made well before the examination, educators can meaningfully intervene before students take the examination to reduce their chances of failing. The authors used already-collected, first-year student assessment data from 5 cohorts in a single Master of Physician Assistant Studies program to implement an "adaptive minimum match" version of the k-nearest neighbors algorithm using changing numbers of neighbors to predict each student's future examination scores on the Physician Assistant National Certifying Exam (PANCE). Validation occurred in 2 ways by using leave-one-out cross-validation (LOOCV) and by evaluating predictions in a new cohort. "Adaptive minimum match" version of the k-nearest neighbors algorithm achieved an accuracy of 93% in LOOCV. "Adaptive minimum match" version of the k-nearest neighbors algorithm generates a predicted PANCE score for each student one year before they take the examination. Students are classified into extra support, optional extra support, or no extra support categories. Then, one year remains to provide appropriate support to each category of student. Predictive analytics can identify at-risk students who might need additional support or remediation before high-stakes certification examinations. Educators can use the included methods and code to generate predicted test outcomes for students. The authors recommend that educators use predictive modeling responsibly and transparently, as one of many tools used to support students. More research is needed to test alternative machine learning methods across a variety of educational programs.

Characteristics of Hybrid Learning Among Health Professions Programs: A Mixed-Methods Study.

To characterize current trends in hybrid education within the physician assistant (PA) profession, specifically program design, drivers, and outcomes in comparison with physical therapy hybrid education. This was a mixed-methods study involving secondary data analysis and focused interviews with stakeholders to triangulate the data. Compared with traditional PA programs, hybrid programs have similar admission requirements, higher cost of tuition, larger class size, and higher attrition rate than national mean. Physician Assistant National Certifying Exam outcome data are in line or slightly lower than national scores. Technological advancements and need for faculty/learner flexibility by time and location are frequently cited driving forces. There is a growing trend toward hybrid education among health professions. Other than cost, attrition rate, and immersion experiences, characteristics of hybrids are similar to traditional programs. It is relevant for PA educators to understand how this educational design may shape the future of PA graduates. Long-term impact should be evaluated with future studies.

Professionalism in Physician Assistant Education as a Predictor of Future Licensing Board Disciplinary Actions.

The purpose of this study was to evaluate associations between postgraduate disciplinary actions (PGDA) by state licensing boards and physician assistant (PA) school documented professionalism violations (DPV) and academic probation. This was a retrospective cohort study comprising PA graduates from 2001 to 2011 at 3 institutions (n = 1364) who were evaluated for the main outcome of PGDA and independent variable of DPV and academic probation. Random-effects multiple logistic regression and accelerated failure time parametric survival analysis were used to investigate the association of PGDA with DPV and academic probation. Postgraduate disciplinary action was statistically significant and positively associated with DPV when unadjusted (odds ratio [OR] = 5.15; 95% CI: 1.62-16.31; P = .01) and when adjusting for age, sex, overall PA program GPA (GPA), and Physician Assistant National Certifying Exam Score (OR = 5.39; 95% CI: 1.54-18.85; P = .01) (fully adjusted). Academic probation increased odds to 8.43 times (95% CI: 2.85-24.92; P < .001) and 9.52 times (95% CI: 2.38-38.01; P < .001) when fully adjusted. Students with professionalism violation or academic probation while in the PA school had significant higher odds of receiving licensing board disciplinary action compared with those who did not. Academic probation had a greater magnitude of effect and could represent an intersection of professionalism and academic performance.

An Examination of Predictors of Attrition in Physician Assistant Programs

The purpose of this study was to explore the relationship between program characteristics and attrition rates. Program graduation rates, attrition rates, and Physician Assistant National Certifying Examination (PANCE) pass rates were extracted from program websites from February-March 2021 and summarized for 2018, 2019, and 2020. Means were compared across categories of independent variables. Attrition rates and PANCE pass rates were correlated. Prerequisites and attrition rate were evaluated with multiple regression. Mean attrition rates varied little across years. Significant differences in mean attrition were limited to a few US Census Bureau regions or divisions. No significant correlation between the total number of prerequisite courses or total prerequisite credits and attrition existed. In 2020, mean attrition rate was statistically significantly greater when biochemistry was required (M = 6.89, SD = 7.04) than when not required (M = 4.91, SD = 4.75) and was statistically significantly lower when an additional chemistry course was required (M = 3.65, SD = 4.00) than when not required (M = 5.93, SD = 5.82). No significant predictors of attrition were found with regression. The mean attrition rates have been relatively stable from 2018-2020, suggesting that the presence of prerequisite coursework has no significant impact on attrition rates. This suggests that specific prerequisites may not predict success in a program, supporting the idea of decreasing or eliminating prerequisites. Additional studies are needed to understand the factors, including specific combinations of prerequisites, that predict completion of a physician assistant program.

The Predictive Strength of the End of Curriculum Exam.

To assess the value of the Physician Assistant Education Association's End of Curriculum examTM and formative and summative exams during the physician assistant program in predicting Physician Assistant National Certifying Exam (PANCE) scores. Value of the End of Curriculum exam, Physician Assistant Clinical Knowledge Rating and Assessment Tool (PACKRAT I, PACKRAT II), PANCE simulation (SUMM I), and Objective Structured Clinical Examination in predicting future PANCE scores was assessed using correlation and regression analysis of data for 27 PA students from one cohort. The End of Curriculum exam, PACKRAT I, PACKRAT II, and SUMM I are statistically significant predictors of PANCE score (p < 0.01). A combination of PACKRAT I and PACKRAT II was the best predictor of PANCE score and explained a large amount of variance (77.0%) in PANCE scores. PAEA's End of Curriculum exam is one of the strongest predictors of PANCE score (r = 0.78). It offers an additional opportunity for programs to provide PA students with another layer of academic advising and to guide their preparation for PANCE.

Examination of Similarities and Quantitative Analysis of Trends Between Admissions Variables and Academic Outcomes.

The purpose of this study was to analyze similarities and trends between admissions variables and academic outcomes of physician assistant (PA) graduate programs to better understand the correlations between them. First, multiple admissions variables were examined individually to determine whether and, if so, why they were similar to each of the following 3 academic outcomes: students' first-time Physician Assistant National Certifying Exam scores and overall and first-term graduate school grade point averages (GPAs). Afterward, trends between those individual academic outcome variables and the independent variables associated with any admissions criteria found to share similarities with individual academic outcomes were analyzed using simultaneous multiple linear regression models. Each model used at least 562 students from a sample set of 566 across 3 different PA graduate school programs. Undergraduate GPAs and Graduate Record Examination (GRE) Verbal Reasoning and Quantitative Reasoning scores shared similarities with each academic outcome, and those similarities were included in each regression model. In each model, the undergraduate GPA beta coefficient was greater than the value of the GRE beta coefficients. Based on the beta coefficient values, the undergraduate GPA variable appeared to be the nonbinary and non-age-independent variable that trended upward the strongest alongside increases in each academic outcome when other variables were controlled for.

A Clinical Year PACKRAT Score That Identifies Risk of Physician Assistant National Certifying Examination Failure: A 10-Year Analysis.

A 10-year analysis to identify a Physician Assistant Clinical Knowledge Rating and Assessment Tool (PACKRAT) score that identifies students at risk of poor performance on the Physician Assistant National Certifying Examination (PANCE) was performed. A total of 712 student PACKRAT scores were analyzed to identify a score that would indicate those students at risk of failing the PANCE. Students with scores of 145 or lower were identified as a risk after the completion of clinical rotations. Remediation to strengthen knowledge deficits was implemented for those with scores of 145 or lower. After 9 years of remediating those students identified as at-risk according to their PACKRAT score, the program's average PANCE pass rate increased from 92.1% to 96.7% with pass rates of 100% over the last 2 years.

The Effects of a Pass-Fail Curriculum on a Physician Assistant Program.

The grading scale for students in a physician assistant program of study is not standardized. Students may be evaluated on a traditional 5-tiered A to F scale or a pass-fail system. The decision to change from ordered grading to pass-fail at an established program in the southeast was done following a change in the affiliated School of Medicine. The purpose of this study was to review effects on student scores following such a change. The Physician Assistant National Certifying Exam (PANCE) and PACKRAT 2 exam scores for the last 2 cohorts of students scored in the 5-tiered system (2016, N = 60 and 2017, N = 59) were compared against the same for the first 2 cohorts (2018, N = 59 and 2019, N = 58) of the pass-fail system. Nonrandom sampling of all students in each cohort year was evaluated using 2-tailed t-testing. A total of 236 student scores were evaluated using a 95% confidence interval. The traditionally scored classes outperformed all pass-fail cohorts (means 460.67/491.86 versus 503.34/493.92). P values were found to be significant at all values between the 5-tier scored classes and the pass-fail cohorts in PANCE scoring, resulting in failure to reject the null hypothesis. This was also true for the PACKRAT 2 with the exception of the 2019 cohort, which was significant only for outperformance of the other pass-fail cohort. For the purpose of this study, the only analysis performed was scoring. For cohorts undergoing curricular change, unforeseen impacts on initial standardized exam scores may occur. In this study, PANCE scores for the first year of the 2 pass-fail cohorts decreased while the overall program scores remained at or above the national average. The pass-fail cohort did show an upward trend in the second year of the curriculum, suggesting that as programs become more familiar with the pass-fail system, steady improvements occur. This suggests that while an anticipated drop in initial scores may be expected, further studies are needed to evaluate the impact on stress reduction, long retention, and intraclass competition.

Comparing the Physician Assistant National Certifying Examination Pass Rate of Graduates From Programs Utilizing Distance Education to the National Average.

The goal of this study was to compare the Physician Assistant National Certifying Examination (PANCE) pass rate of graduates from physician assistant (PA) programs utilizing distance education to the national average of PANCE pass rates. The Physician Assistant Education Association online PA program directory was used to obtain the name and number of physician assistant (PA) programs that offered distance education in their curriculum. The National Commission on Certification of Physician Assistants PANCE Exam Performance Summary Report was reviewed for each PA program that offered distance education. The 5-year first-time taker mean pass rate for all PA programs offering distance education was calculated and compared to the 5-year national first-time taker average for all PA programs in the United States over the same 5-year period. The mean 5-year first-time taker pass rate for PA programs offering distance education was 96.9%. The 5-year national first-time taker average pass rate for all PA programs was 96.0%. The results of this study show that graduates from PA programs utilizing distance education are effectively prepared to pass the PANCE and do so at a rate that is higher than the national mean for all PA programs.

Correlation between physician assistant students' performance score of history taking and physical exam documentation and scores of Graduate Record Examination, clinical year grade point average, and score of Physician Assistant National Certifying Exam in the United States.

PurposeLearning to perform and document patient history taking and physical exam (H&P) entails a major component of the first year academic education of physician assistant (PA) students at Wayne State University, USA. The H&P is summative of multiple aspects of PA education, and students must master communication with patients and other health care providers. The objectives of this study were first, to determine if there was a correlation between scores on the Graduate Record Examination (GRE) component testing and scores on graded H&Ps. The second objective was to identify a correlation between proficiency with H&P documentation and academic and clinical year grade point average (GPA) and Physician Assistant National Certifying Exam (PANCE) score.MethodsSubjects included 147 PA students from Wayne State University from 2014–2016. PA students visited local hospitals or outpatient clinics during the academic year to perform and document patient H&Ps. Correlation between the H&P mean scores and GRE component scores, GPAs, and PANCE scores were analyzed.ResultsThe subjects were 26.5 years-old (+6.5) and 111 females (75.5%). There was no correlation between the GRE component score and the H&P mean score. The H&P score was positively correlated with GPA 1 (r=0.512, P<0.001), with GPA 2 (r=0.425, P<0.001) and with PANCE score (r=0.448, P<0.001).ConclusionPA student skill with H&P documentation was positively related to academic performance score during PA school and achievement score on the PANCE at Wayne State University, USA.

The Relationship Between Physician Assistant School Admissions Exam (PA-CAT) and Undergraduate Performance Measured by Science GPA and Cumulative GPA"

Purpose: Physician Assistant (PA) programs often set minimum GPA and graduate record examination (GRE) requirements for admission, citing that candidates with higher admission scores will perform better in the PA program. However, to date, there are limited published studies with inconsistent results that have investigated the validity of using these preadmission characteristics to predict performance in PA programs or on the Physician Assistant National Certifying Exam (PANCE). The development of a physician assistant college admission test (PA-CAT) that has predictive validity to determine PANCE success would give PA admissions committees an additional resource to make decisions. This study was conducted to determine the strength of the relationship between PA-CAT and undergraduate cumulative and science GPA. Methods: The PA-CAT is comprised of 180 questions covering 12 subject areas based on research identifying the relative importance of that subject to success in the PA curriculum. The exam was administered through a secured computer-based testing to 479 newly admitted PA students across the United States. Regression analysis was conducted with Rasch scale scores as the dependent variable and two independent variables (undergraduate GPA and undergraduate science GPA). Results: The PA-CAT Rasch scale scores are positively correlated with undergraduate GPA (r=0.16) and undergraduate science GPA (r=0.22). Although these correlation coefficients are statistically significant (pConclusion:Early results from this research study demonstrates there is a statistically significant relationship between the PA-CAT and undergraduate science GPA in newly admitted PA students. Limitations of the study include the fact that students voluntarily took this exam without consequence. Further study is needed to determine if the exam can be generalized to the entire PA applicant pool thereby providing a valid instrument for admissions decisions.

Predicting PANCE Outcomes from First Year Evaluative Measures in a PBL Curriculum

Purpose: Previous research has explored various Physician Assistant (PA) student evaluative measures to see if they have predictive validity with regard to Physician Assistant National Certifying Exam (PANCE) scores. Recent literature has begun to evaluate how measures from the first year of didactic education might be helpful in identifying at-risk individuals early in the program. The purpose of this paper was to extend work in that area within a problem-based learning (PBL) curriculum. Method: Participants included 140 students from two consecutive PA classes. Data were imported regarding each student’s evaluative measures of multiple choice question (MCQ) examinations, patient management assessments (PMA), a form of modified essay question (MEQ) examination, and facilitator evaluation ratings (FERs) from the end of each of six curricular units that comprise the didactic year. Results: Correlational analyses revealed all MCQ and MEQ (PMA) scores correlated significantly with PANCE scores. Regression analyses revealed that scores from two specific MCQ unit exams and one specific MEQ unit exam produced a three-factor model that accounted for 57% of variance in PANCE scores. FERs, though significantly correlated with PANCE scores, did not add to the predictive power. Conclusions: Use of MCQ and MEQ scores from the first year of didactic training in PA programs can successfully predict PANCE scores and may therefore be helpful in identifying students who are at risk for poor PANCE performance on their first attempt. Having such information available can direct faculty to students who need extra help early in their educational programs to increase likelihood of their success. With the significant correlations between FERs and PANCE scores, it is clear that faculty who facilitate PBL are also able to identify students who might be at risk based on their interactions during PBL sessions and can also utilize this information to assist student