Xcalibre: Item Response Theory Analysis Made Easy
Xcalibre makes item response theory (IRT) easy to implement so you can apply the same psychometric technology used by the major testing companies of the world. Automatically create item analysis and tech reports in MS Word, with hundreds of embedded tables, graphs, and narratives.
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Xcalibre: A Smarter Approach to Item Response Theory Analytics
User-Friendly
All options are displayed in a clean, simple interface. No coding skills required. Select IRT model and other analytic options with a click of the mouse.
Automated Reports
Save hours of time – Xcalibre copies and pastes all the tables/graphs into a narrative MS Word report for you!
Visualize Performance
Full of the analytic graphics you need to interpret the psychometric performance: IRFs, model fit, Test response function, test information function…
Secure: Cloud or Downloaded
Download Xcalibre to run on your laptop, or leverage the cloud version within our online ecosystem, integrated with item banking and online delivery
Flag and fix poor items
Automatically flag poorly performing items so that you can inspect for confusing distractors and other problems.
Modern Psychometrics
Move beyond oversimplified stats like P-value and top/bottom discrimination, and use the approach used by the leading orgs of the world.
Try Xcalibre for free, and start implementing IRT today
Xcalibre 4 is available as a trial version for evaluation, limited to 50 data points. This allows you to get familiar with the program immediately, and start learning the basic methods of item response theory.
Fill out the form with a legitimate email address and you will be sent an email with a download link. Be sure to check your spam folder.
Designed to help more practitioners implement Item Response Theory
The point-and click interface is a game-changer for IRT analysis software: spend more time on evaluating and improving your assessment, not fighting with code errors. Simply select your files, IRT models, and other options, then click Run. Supports both dichotomous and polytomous items, including both at the same time.
Diagnose items with Xcalibre’s easy-to-read output
Clear, concise tables, embedded graphics, and explanatory narratives allow you to easily understand IRT calibration. Includes comprehensive item response theory analysis at both the item and test level (TIF, TRF, etc.). Classical statistics are added where useful.
Moreover, it is all in Word so you can easily annotate results! Save hours of copy-and-paste from ASCII tables and manually created graphs from other software.
New to item response theory analytics? Click below to learn more about this powerful, modern approach to psychometrics.
What does Xcalibre do to help you implement item response theory?
IRT Calibration
1PL/Rasch, 2PL, 3PL, Rasch Partial Credit Model (RPCM), Generalized Partial Credit Model (GPCM), Rasch Rating Scale Model (RRSM), Generalized Rating Scale Model (GRSM), Graded Response Model (GRM).
Data Visualization
Item response function (IRF), item information function (IIF), test response function (TRF), test information function (TIF), conditional standard error of measurement (CSEM), person-item plot, and more.
Scoring
Classical number-correct, percentile rank, maximum likelihood estimation (MLE), Bayesian maximum a posteriori (MAP), Bayesian expectation a posteriori (EAP), scaled scoring transformations, subscores.
Item Analysis
P, Rpbis, Pbis, IRT parameters, alpha-without, option statistics, differential item functioning (DIF), flagging of each item.
Equating
Merge your data files for concurrent calibration, or read in anchor item parameters from previous test forms.
Report Creation
Xcalibre takes everything you see on this page (CTT and IRT), and creates a draft Technical Report in Word, for you to edit.
What is item response theory, and why do I need it?
What is item response theory (IRT)?
IRT is a family of machine learning models to analyze assessment data. It is based on the notion of an underlying trait or ability, generally called theta, and how the probability of a response is a nonlinear function of that. For multiple choice items on a knowledge test, this means that the probability of a correct answer is higher if you are smarter. For multi-point (polytomous) items, the item response function is more complex.
Why is IRT important?
There are some major theoretical advantages, most notably that it is sample independent, whereas classical test theory is framed around a single test form on a single sample.
When first running an IRT analysis, IRT is used to evaluate the test and the questions, more effectively than CTT. However, it provides solutions to many more big questions in assessment, such as how to ensure scores stay comparable across forms (equating), set cutscores (Bookmark Method), link across grade levels (vertical scaling), deal with sparse data matrices, and build adaptive tests.
Get in touch with one of our psychometricians to learn more.
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