Item Analysis
Identify questions that are too easy, too difficult, confusing or poorly discriminating, and determine whether each item is performing as intended.
Psychometric Assessment & Analysis
Measure Better.
Assess Fairly.
Decide with Confidence.
We provide Psychometric Assessment, Analysis & Reporting to help organisations understand not only how candidates perform, but how effectively the assessment itself performs.
- Candidate-Response Data
- Real response patterns across every item and option.
- Statistical Analysis
- Difficulty, discrimination, reliability and fairness.
- Expert Item Review
- Domain alignment, clarity and answer-key integrity.
Item II.E.069
Multiple ChoiceResponse distribution across 61 candidates.
- A9 candidates · 14.8%
- B5 candidates · 8.2%
- C7 candidates · 11.5%
- D40 candidates · 65.6%
What We Analyse
Every dimension of assessment quality.
Using candidate-response data, statistical analysis and expert item review, we evaluate the quality, reliability, validity and fairness of every assessment.
Distractor Analysis
Analyse how candidates interact with incorrect options to identify effective, weak, non-functioning or potentially misleading distractors.
Domain & Content Alignment
Evaluate whether each question accurately measures the intended domain, competency, skill level and assessment objective.
Clarity & Item Quality
Review questions for ambiguity, language quality, technical accuracy, cognitive level, answer-key integrity and option quality.
Reliability & Score Analysis
Evaluate score distributions, item-total relationships, internal consistency, Cronbach's Alpha and Standard Error of Measurement to determine the reliability of assessment results.
Cut Score & Standard Setting
Assess whether passing standards are fair and defensible, using recognised approaches such as Angoff and decision-consistency analysis.
Fairness & Bias
Identify unusual response patterns and potential indicators of Differential Item Functioning (DIF), bias or unfair item behaviour.
Drift & Equating
Monitor whether item statistics change over time and help ensure that scores remain comparable across different test forms and administrations.
Advanced Psychometrics
For deeper assessment programmes, we support Item Response Theory (IRT), item fit, candidate ability analysis, DIF, test equating and item-parameter drift.
From Response Data to Actionable Insight
Sample Item Analysis.
Item Difficulty
0.656Moderate
Total Rpbis
0.323Good Discrimination
Domain Rpbis
0.482Strong Domain Alignment
Candidates
61Responses analysed
Correct Answer
D40 candidates · 65.6%
Distractors
3 / 3All functioning
Psychometric Insight
Recommended Action: RetainThe item demonstrates an appropriate difficulty level and good discrimination, with stronger alignment to its intended domain. All three distractors attracted responses, indicating that they are functioning rather than being obviously incorrect.
Every Item Gets a Clear Decision
One outcome for every item.
- ✓1Retain
- ⌕2Review
- ✎3Revise
- ?4Investigate
- ×5Remove
Our reporting transforms complex assessment statistics into practical answers:
- Is the question relevant?
- Is it appropriately difficult?
- Is the wording clear?
- Are the distractors effective?
- Does it differentiate candidate ability?
- Is it aligned with the intended domain?
- Does it improve the reliability of the assessment?
The Outcome
Better Questions. Reliable Assessments. Data-Driven Decisions.
We combine psychometric statistics, candidate-response behaviour and expert question review to help organisations build assessments that are relevant, reliable, fair and defensible.