Ontology highlight
ABSTRACT:
SUBMITTER: Kohler C
PROVIDER: S-EPMC5978672 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature
Applied psychological measurement 20170301 5
Testing item fit is an important step when calibrating and analyzing item response theory (IRT)-based tests, as model fit is a necessary prerequisite for drawing valid inferences from estimated parameters. In the literature, numerous item fit statistics exist, sometimes resulting in contradictory conclusions regarding which items should be excluded from the test. Recently, researchers argue to shift the focus from statistical item fit analyses to evaluating practical consequences of item misfit. ...[more]