01
Entry profile
Test developers, assessment managers and researchers who need to interpret and communicate operational test data.
02
Learning outcomes
- Summarise score distributions and diagnose data-quality issues.
- Interpret item difficulty, discrimination and distractor performance.
- Estimate and explain reliability, measurement error and decision consistency.
- Build a proportionate validation and monitoring plan.
03
Programme structure
Module hours include tutor-led input, guided study, applied work and the related assessment activity.
- 01Measurement Data and Descriptive Statistics6h
- 02Classical Item Analysis8h
- 03Reliability and Measurement Error8h
- 04Validity, Comparability and Fairness8h
- 05Operational Monitoring and Reporting10h
04
Learning model and workload
Online technical workshops with guided datasets, spreadsheet-based analysis and interpretation clinics.
05
Assessment and award
Analysis of an operational dataset and a concise validation report explaining findings, limitations, risks and recommended action.
A successful outcome receives a final credential and a unique public verification code. A grade appears where one is issued, while public display of holder data follows the applicable consent settings. The online record is the authoritative evidence of current status.
