Item response theory uses mathematical functions to predict or explain students' test performance, and, thereby, design more accurate tests. Tests are designed to measure a test taker's set of latent traits (e.g. aptitude, achievement, or personality) that are otherwise unobservable. By assuming that one dominant factor can be attributed to test item performance, the theory explains that test takers who manifest a trait more strongly have a higher probability for answering test items... więcej

Salem Press Encyclopedia, 2021. 3p.