Make your tests personalized with IRT, CAT, MST, and LOFT
Personalized assessment is more secure, engaging, and accurate. Leverage computerized adaptive testing (CAT), and multistage testing (MST), and linear on the fly testing (LOFT) – with item response theory (IRT) to ensure fairness & validity.
Make your test smarter and shorter with adaptive testing
CAT operates by adapting the difficulty of each new item that someone sees, based on machine learning. It can produce shorter tests (up to 90% reduction) with stronger security, more accuracy, and increased student engagement.
Our easy-to-use interface means that you can roll out personalized assessment in minutes.
Linear-on-the-fly testing (LOFT)
LOFT will assemble a randomly parallel form for each examinee. FOr example, you might have a pool of 200 questions, and everyone will see 20 items from each of 5 domains, balanced to equivalent difficulty. This greatly increases security while maintaining fairness.
Multistage Testing: Best of Both Worlds
FastTest also supports multistage testing, where the adaptation happens after blocks of items (e.g., 20) rather than after every single item. This provides a number of advantages from a test development perspective.
Both CAT and MST are based on item response theory (IRT), the modern psychometric paradigm.
The psychometric foundation: Item response theory (IRT)
IRT is the modern psychometric paradigm that’s behind most large-scale and high-stakes exams. Based on advanced machine learning methods, it is what allows you to provide scores on the same latent scale no matter which items are used – hence MST, CAT, and LOFT.
Learn more about IRT
Validating your personalized assessments
CAT requires validation research studies to simulate the algorithms and determine the need for item exposure controls or other enhancements (see Thompson & Weiss, 2011). Either you need a psychometrician on your staff, or we can help you
Learn more about the CAT algorithmNeed help implementing? Get in touch to discuss with a psychometrician.
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