Statistical analysis provides essential insights for quality assurance and assessment improvement in the grading process. The feature generates both real-time and summative analytics, including:
- Score Distribution: Histograms and descriptive statistics (mean, median, standard deviation) for individual questions and overall exam performance
- Grader Analysis: Consistency metrics across different graders and identification of potential scoring discrepancies
- Item Analysis: Difficulty and discrimination indices for questions, helping identify potentially problematic items
- Time Analysis: Grading speed and patterns to optimize workflow
- Rubric Usage: Frequency analysis of rubric criteria application
While not directly reducing grading workload, these analytics support consistency in grading and provide valuable data for improving future assessments.
Prerequisites
None