Analyzing the Five Questions Vol 5

Analyzing the Five Questions Vol 5

July 08, 20264 min read

Glad to see you back with me. Today, I’ll conclude the series on the five questions required by ARC-PA Standard C1.01 by examining the final two questions. In many ways, these questions bring everything together. They ask programs to step back and evaluate whether the educational experiences they provide ultimately prepare graduates for clinical practice.

Like the previous questions, these require thoughtful analysis rather than simple reporting. The goal is not merely to collect data, but to determine what those data tell us about program effectiveness.

Evaluating Clinical Curriculum Effectiveness

The fourth C1.01 question asks:

Is the clinical curriculum effective in preparing graduates for clinical practice?

At this point in a student's educational journey, the focus shifts from classroom preparation to real-world application.

Clinical education provides students with the opportunity to integrate knowledge, skills, and professional behaviors in patient-care settings. Because of this, evaluating clinical effectiveness requires programs to consider multiple performance indicators and determine whether those experiences produce the desired outcomes.

Potential sources of evidence may include:

  • End-of-Rotation (EOR) examination performance

  • Preceptor evaluations

  • Clinical competency assessments

  • Summative evaluations

  • Clinical readiness measures

  • Other indicators of student performance during the clinical phase

As with every C1.01 question, no single data point should drive the conclusion. A strong EOR score may be encouraging. A positive preceptor evaluation may be meaningful. However, programs should look for consistency across multiple measures.

These are the types of questions that help transform data into meaningful analysis:

  1. Do different data sets tell a similar story?

  2. Do trends remain stable over time?

  3. Do the results support the conclusion that students are developing the knowledge, skills, and professional behaviors necessary for clinical practice?

Looking for Alignment

One of the most useful concepts when evaluating clinical curriculum effectiveness is alignment.

Programs invest considerable effort in developing learning outcomes, designing clinical experiences, and establishing assessment methods. The purpose of evaluation is to determine whether those components are working together effectively.

In other words:

  • Are students receiving the experiences they need?

  • Are they being evaluated appropriately?

  • Do assessment results support the conclusion that learning objectives are being achieved?

This is where critical analysis becomes particularly important. Our goal is to determine whether the educational process is producing the outcomes it was designed to achieve.

When multiple measures align, programs can have greater confidence in their conclusions.

Evaluating Overall Program Effectiveness

The fifth and final C1.01 question asks:

Overall, does the program effectively prepare graduates for clinical practice?

This is perhaps the broadest question in the entire framework. Unlike the previous questions, which focus on specific components of the program, this one asks us to evaluate the program as a whole.

At this stage, programs should step back and consider the larger picture.

Potential evidence may include:

  • PANCE performance

  • Graduation rates

  • Attrition rates

  • Graduate surveys

  • Employer feedback

  • Clinical outcomes

  • Didactic outcomes

  • Other indicators of program success

The objective is not to average these data together or focus on a single metric. Instead, programs should ask whether the collective evidence supports the conclusion that graduates are prepared for clinical practice.

This holistic perspective often provides valuable context for understanding strengths, identifying opportunities for improvement, and determining whether the program is fulfilling its mission.

Thinking Like an Evaluator

Throughout the webinar, I encouraged participants to think of each C1.01 question as a hypothesis.

That perspective can be remarkably helpful.

Instead of asking:

How do I prove my program is effective?

Programs can ask:

Does the available evidence support the conclusion that this aspect of the program is effective?

This subtle shift changes the nature of the analysis. We aim to evaluate the evidence objectively and determine what conclusion is most strongly supported. Sometimes the data confirm what we expected; sometimes they reveal areas that deserve additional attention. Either outcome provides valuable information.

The Process Still Matters

Although the questions differ, the evaluation process remains remarkably consistent.

Programs should continue to:

  1. Identify relevant data sources.

  2. Establish appropriate benchmarks.

  3. Review trends over time.

  4. Compare related data sets.

  5. Use triangulation whenever possible.

  6. Consider contextual factors.

  7. Develop improvement strategies when necessary.

These steps help transform raw information into meaningful program assessment.

More importantly, they help create conclusions that are thoughtful, evidence-based, and defensible.

Conclusion

As we conclude this series, one theme continues to stand out: the 6th Edition Standards ask programs not only to collect data, but to think critically about what those data mean. While the five questions of C1.01 may initially seem daunting, approaching them through a consistent process of analysis, triangulation, contextualization, and professional judgment can make them far more manageable.

My hope is that this series has helped clarify both the intent behind these questions and the practical steps programs can take to answer them thoughtfully and defensibly.

That's it for this series—but not for long. I'm already looking ahead to future webinars and emerging topics within PA education, and I look forward to continuing the conversation with you soon. Looking forward to seeing you again.

ARC-PA 6th EditionARC-PA 6th Edition StandardsFive Questions
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Scott Massey, PhD, PA-C

Scott Massey, PhD, PA-C, is the founder and principal consultant of Massey & Associates Consulting Solutions, with more than three decades in physician assistant education. A former PA program director (Central Michigan University) and research chair in the Department of PA Studies at the University of Pittsburgh, he has guided numerous programs through ARC-PA accreditation and self-study. His work in predictive statistical risk modeling helps programs anticipate student outcomes, and he has published on predictive modeling, educational outcomes, and stress among graduate health-science students. He is an active contributor to PAEA committees and councils.

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