Xcalibre

Xcalibre empowers any organization to implement item response theory (IRT) – a machine learning approach used by all large-scale assessment organizations to make their tests more accurate and defensible.

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What is Xcalibre?

Complete the item response theory analysis with a user-friendly interface that allows anyone to learn IRT. Also, automatically create reports as a Word document, with all images and tables already inserted.

Xcalibre empowers any organization to implement item response theory (IRT) – a machine learning approach used by all large-scale assessment organizations to make their tests more accurate and defensible.

What is Xcalibre?

User's friend

All options are displayed in a simple and clean interface. No coding skills are required!

Automated reporting

Save hours of your time: Xcalibre copies and pastes all the tables/graphs into a narrative report for you

IRT Models

Supports all major out-of-the-box IRT models - dichotomous or polytomous

Flexible and powerful

Analyze large data sets, perform equation studies, and improve items with classic distractor analysis

How is IRT better than Classical Test Theory?

Stronger science

Specifically designed to solve important psychometric problems

Best Equation

Superior in equating various forms/years

Allows CAT

IRT enables computerized adaptive testing (CAT)

Sample Independent

The results of classical test theory are notoriously sample-specific

Better measurement

More accurate scores, for more examinees

Designed to help more professionals implement IRT

The point-and-click interface means you spend more time improving your assessment, not struggling with code errors

Output that is easy to read

Clear and concise tables, embedded charts, and explanatory narratives – plus, it's all in Word so you can easily jot down the results!

System Requirements

Windows

2 Mb of free RAM

1 Mb of free disk space

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