Psychometric Analytics: Improve Item & Test Performance
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What is Psychometric Analytics?
Psychometric analytics refers to the statistical analysis of test data to evaluate the quality of measurement, by closely examining the performance of items, subscores, and the test as a whole. For example:
- If the correct answer is C but lots of the smart students chose B?
- Did the smarter students choose C or B?
- Is the item biased with differential item functioning?
Unlike most platforms that provide a perfunctory analysis, we provide a deep, professional level report, with options for item response theory, which is the paradigm for all modern assessment.
Key aspects of psychometric analytics
Partner with industry-leading experts to ensure your testing program meets international standards and best practices.
Option Statistics
What proportion/number of students selected each answer, and what was the point-biserial?
Item Statistics
What was the overall difficulty and discrimination? IRT parameters? Poor items are automatically flagged for you.
Subscore Statistics
What was the mean, standard deviation, reliability, standard error, and other key stats for each subscore?
Test Statistics
Descriptive stats, multiple reliability indices, test information function, CSEM function, and much more.
Automated reporting to help you validate your exams
Partner with industry-leading experts to ensure your testing program meets international standards and best practices.
CTT Analysis
Automatically pull classical test theory analytics, which is based on simple mathematics like proportions, averages, and correlations. This allows you to quickly and effectively improve items, especially via discussion with subject matter experts.
IRT Calibration
IRT is far more complex than CTT, but solves some more advanced psychometric issues far more effectively. This includes adaptive testing, automated test assembly of parallel forms, and equating.
Not sure which one you need? Talk to one of our psychometricians.
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