adaptiertest
Adaptiertest refers to an assessment approach in which the items presented to a test taker are chosen adaptively based on the person’s previous responses. Instead of a fixed sequence of questions, an algorithm estimates the test taker’s ability and selects subsequent items of appropriate difficulty. The goal is to achieve comparable measurement precision with a shorter test duration. Adaptiertests are most commonly implemented as computer-based tests, collectively known as computer adaptive testing (CAT).
The underlying methodology typically relies on item response theory (IRT) or Bayesian approaches. Items in a
Applications and examples vary, but adaptiertests are widely used in education, professional licensure, and large-scale assessments.
Limitations and considerations include the complexity of item bank construction and calibration, ensuring test security, and