The Main Score Report provides a high-level view of learner performance across scenarios, evaluations, and question categories. Use this report to identify trends, monitor learner outcomes, compare performance across simulation activities, and evaluate whether learners are meeting established passing requirements.

This article explains how to interpret passing cutoffs, understand report statistics, use filters to focus your analysis, and export meaningful performance data for further review.

When to Use the Main Score Report

The Main Score Report is useful when you need to:

• Review overall learner performance across a course
• Compare results across multiple scenarios or evaluations
• Identify learners who may require additional support
• Analyze performance trends by question category
• Determine whether learners are meeting passing requirements
• Review class-level performance data for curriculum evaluation or accreditation activities

Understanding the Main Score Report

The report combines learner performance data from scenarios, evaluations, and question categories into a single view.

Key Areas of the Report

Together, these sections help educators understand both individual learner achievement and overall program effectiveness.

Understanding Passing Cutoffs

Passing cutoffs are displayed throughout the report to help you quickly determine which learners met established performance expectations.

Passing requirements are defined within the associated course or scenario evaluations and provide a clear benchmark when reviewing learner outcomes.

Use passing cutoffs to:

• Identify learners who passed or failed
• Compare learner results against established expectations
• Evaluate overall cohort performance
• Determine whether remediation or additional training may be necessary

Understanding Scenario Statistics

The Main Score Report includes scenario-level statistics that help you evaluate performance trends across a group of learners.

The exported report includes:

• Mean (Points)
• Standard Deviation (Points)
• Mean (%)
• Standard Deviation (%)

Mean (Points)

The average number of points earned by learners within a scenario.

A higher mean indicates stronger overall performance.

Mean (%)

The average percentage score earned by learners.

This metric allows you to compare performance across scenarios that may have different total point values.

Standard Deviation (Points)

Measures how much learner point totals vary from the average.

• Lower values indicate more consistent learner performance.
• Higher values indicate greater variation between learners.

Standard Deviation (%)

Measures variation in percentage scores.

This statistic can help identify whether learners performed similarly or whether substantial performance differences exist across the group.

Example

If a scenario has:

• Mean (%) = 92%
• Standard Deviation (%) = 3%

Most learners performed similarly and achieved high scores.

If a scenario has:

• Mean (%) = 78%
• Standard Deviation (%) = 18%

Learner performance varied significantly, which may indicate inconsistent understanding of the material or potential opportunities for curriculum improvement.

Using Filters to Customize Your Report

The Main Score Report includes several filters that allow you to focus on specific data sets.

Available filters include:

• Scenario
• Evaluation
• Question Categories

Applying filters helps reduce unnecessary information and allows you to focus on the performance data that matters most.

Filter Use Cases

Scenario Filter

Use this filter when you want to:

• Review performance for a specific simulation activity
• Compare outcomes between scenarios
• Analyze results from a newly introduced scenario

Example

An administrator wants to review learner performance only for a Pediatric Emergency scenario without including unrelated simulations.

Evaluation Filter

Use this filter when you want to:

• Analyze a specific evaluation
• Review scoring patterns
• Investigate assessment outcomes

Example

A course director wants to review only the Final Assessment evaluation to determine whether learners achieved required competencies.

Question Category Filter

Use this filter when you want to:

• Evaluate specific competency areas
• Identify strengths and weaknesses
• Review curriculum effectiveness

Example

Filtering by a Communication category may reveal whether learners consistently struggle with communication-focused questions despite performing well in clinical categories.

Exporting Filtered Results

When you export the Course Scores report, any applied filters are preserved.

This means the exported report will include only the selected:

• Scenarios
• Evaluations
• Question categories

Exported reports can be used for:

• Program reviews
• Accreditation preparation
• Curriculum analysis
• Learner performance tracking
• Faculty reporting

Example Report Views

Without Filters Applied

The report includes all available data across all scenarios, evaluations, and question categories.

This view is useful when you want a broad overview of course performance.

With Filters Applied

The report displays only the data associated with the selected filters.

This view is useful when you need to investigate a specific learner group, scenario, evaluation, or competency area.

When to Use the Main Score Report vs. Other Reports

Use the Main Score Report When You Need To:

• Review overall learner performance
• Compare results across multiple scenarios
• Analyze question category performance
• Review passing rates
• Evaluate scenario-level statistics
• Export summarized performance data

Consider Other Reports When You Need To:

• Detailed question-by-question learner responses
• Individual evaluation review
• Evaluation alignment analysis
• Session-specific recordings or observations
• Portfolio-level learner reporting