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Peer reviewedVan Der Flier, Henk; And Others – Journal of Educational Measurement, 1984
Two strategies for assessing item bias are discussed: methods comparing item difficulties unconditional on ability and methods comparing probabilities of response conditional on ability. Results suggest that the iterative logit method is an improvement on the noniterative one and is efficient in detecting biased and unbiased items. (Author/DWH)
Descriptors: Algorithms, Evaluation Methods, Item Analysis, Scores
PDF pending restorationKogut, Jan – 1986
Methods and indices based on item response theory (IRT) for detecting and diagnosing aberrant response patterns are reviewed. These indices are divided into three groups: (1) residuals-based; (2) likelihood-based; and (3) ratio of covariances-based (extended cautions). For each index, the determination of its sampling distribution as well as its…
Descriptors: Algorithms, Computer Simulation, Foreign Countries, Latent Trait Theory
Peer reviewedStocking, Martha L.; Swanson, Len – Applied Psychological Measurement, 1993
A method is presented for incorporating a large number of constraints on adaptive item selection in the construction of computerized adaptive tests. The method, which emulates practices of expert test specialists, is illustrated for verbal and quantitative measures. Its foundation is application of a weighted deviations model and algorithm. (SLD)
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Expert Systems
The Comparability of the Statistical Characteristics of Test Items Generated by Computer Algorithms.
Download full textMeisner, Richard; And Others – 1993
This paper presents a study on the generation of mathematics test items using algorithmic methods. The history of this approach is briefly reviewed and is followed by a survey of the research to date on the statistical parallelism of algorithmically generated mathematics items. Results are presented for 8 parallel test forms generated using 16…
Descriptors: Algorithms, Comparative Analysis, Computer Assisted Testing, Item Banks
Knol, Dirk L. – 1989
Two iterative procedures for constructing Rasch scales are presented. A log-likelihood ratio test based on a quasi-loglinear formulation of the Rasch model is given by which one item at a time can be deleted from or added to an initial item set. In the so-called "top-down" algorithm, items are stepwise deleted from a relatively large…
Descriptors: Algorithms, Item Banks, Latent Trait Theory, Mathematical Models
Dimitrov, Dimiter M. – 1994
An approach is described that reveals the hierarchical test structure (HTS) based on the cognitive demands of the test items, and conducts a linear trait modeling by using the HST elements as item difficulty components. This approach, referred to as the Hierarchical Latent Trait Approach (HLTA), employs an algorithm that allows all test items to…
Descriptors: Algorithms, Cognitive Processes, Difficulty Level, Higher Education
