TY - JOUR
AU1 - Camilli, Gregory
AB - This article focuses on the topic of how item response theory (IRT) scoring models reflect the intended content allocation in a set of test specifications or test blueprint. Although either an adaptive or linear assessment can be built to reflect a set of design specifications, the method of scoring is also a critical step. Standard IRT models employ a set of optimal scoring weights, and these weights depend on item parameters in the two-parameter logistic (2PL) and three-parameter logistic (3PL) models. The current article is an investigation of whether the scoring models reflect an intended set of weights defined as the proportion of item falling into each cell of the test blueprint. The 3PL model is of special interest because the optimal scoring weights depend on ability. Thus, the concern arises that for examinees of low ability, the intended weights are implicitly altered.
TI - IRT Scoring and Test Blueprint Fidelity
JF - Applied Psychological Measurement
DO - 10.1177/0146621618754897
DA - 2018-07-01
UR - https://www.deepdyve.com/lp/sage/irt-scoring-and-test-blueprint-fidelity-M37CAulu0L
SP - 393
EP - 400
VL - 42
IS - 5
DP - DeepDyve