NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Wyse, Adam E.; McBride, James R. – Journal of Educational Measurement, 2021
A key consideration when giving any computerized adaptive test (CAT) is how much adaptation is present when the test is used in practice. This study introduces a new framework to measure the amount of adaptation of Rasch-based CATs based on looking at the differences between the selected item locations (Rasch item difficulty parameters) of the…
Descriptors: Item Response Theory, Computer Assisted Testing, Adaptive Testing, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Jinming; Li, Jie – Journal of Educational Measurement, 2016
An IRT-based sequential procedure is developed to monitor items for enhancing test security. The procedure uses a series of statistical hypothesis tests to examine whether the statistical characteristics of each item under inspection have changed significantly during CAT administration. This procedure is compared with a previously developed…
Descriptors: Computer Assisted Testing, Test Items, Difficulty Level, Item Response Theory
Peer reviewed Peer reviewed
Yen, Wendy M. – Journal of Educational Measurement, 1980
A study of the context effects on item parameters for one- and three-parameter latent trait models showed that: (1) changes in context affected their item difficulties; and (2) context effects were more important in making predictions for single items than for groups of items. (Author/RL)
Descriptors: Achievement Tests, Context Effect, Difficulty Level, Grade 4
Peer reviewed Peer reviewed
Bejar, Isaac I. – Journal of Educational Measurement, 1980
Two procedures are presented for detecting violations of the unidimensionality assumption made by latent trait models without requiring factor analysis of inter-item correlation matrices. Both procedures require that departures from unidimensionality be hypothesized beforehand. This is usually possible in achievement tests where several content…
Descriptors: Achievement Tests, Bayesian Statistics, Cluster Grouping, Content Analysis