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Difficulty Index
Measures how difficult each question was based on student performance.
Accreditation Intelligence
Psychometric Analysis
Evidence-based item analysis, difficulty, discrimination and distractor review.
Institutional challenge
Institutions need to ensure that exam items are valid, fair, reliable, and academically defensible. Without psychometric insight, poor questions may affect student grades and assessment credibility.
The DigiAssess solution
DigiAssess supports item quality analysis including difficulty index, discrimination index, distractor analysis, item revision, and report-based decision-making.
Capabilities
What Psychometric Analysis Includes
7 capabilities, each with the value it brings. Use the index to jump between them.
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Discrimination Index
Shows how well an item differentiates between high-performing and low-performing students.
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Distractor Analysis
Analyzes incorrect answer choices to determine whether distractors are functioning effectively.
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Reliability Analysis
Supports evaluation of assessment consistency and confidence in results.
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Validity Analysis
Helps academic teams review whether items align with intended learning outcomes, topics, and taxonomy levels.
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Item Revision
Allows authorized users to revise answer keys, discard problematic items, redistribute marks, and compare original versus revised results.
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Question Quality Monitoring
Supports continuous improvement of the question bank over time.
How to read the results
The Analysis Methods, in Plain Language
General definitions of each measure and how academic teams normally act on it. They describe the measures listed above, not a certification of any specific formula.
- Difficulty index
- The share of students who answered an item correctly. A very low value flags an item that may be too hard, ambiguous or off-syllabus; a very high value flags one that no longer separates students.
- Discrimination index
- How well an item separates students who did well overall from those who did not. Items that discriminate weakly, or in the wrong direction, are the first candidates for review because strong students are missing them.
- Distractor analysis
- How often each wrong option was chosen. A distractor nobody picks adds nothing; a distractor that attracts high performers often points to a wording problem or a wrong answer key.
- Reliability analysis
- Whether the assessment as a whole produces consistent results, which tells you how much confidence to place in the scores when making progression and grading decisions.
- Validity analysis
- Whether the items actually measure what the course intends, by reviewing alignment to learning outcomes, topics and taxonomy levels.
- Item revision
- What an authorized user can do once a problem item is found: correct the answer key, discard the item, redistribute its marks, and compare the original and revised results before they are released.
- Question quality monitoring
- Tracking these measures across exam sittings so the question bank improves over time instead of repeating weak items.
See how item evidence feeds learning outcome analytics, assessment quality management and accreditation reporting, or manage the items themselves in question bank management.
Turning assessment evidence into outcomes and accreditation reports? See Academic Intelligence, outcome-based assessment and competency-based assessment.
See Psychometric Analysis in Your Context.
Show us how your institution assesses today. We'll walk you through the workflows that matter to your programs.