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.
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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