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Kreiner, Svend – Applied Psychological Measurement, 2011
To rule out the need for a two-parameter item response theory (IRT) model during item analysis by Rasch models, it is important to check the Rasch model's assumption that all items have the same item discrimination. Biserial and polyserial correlation coefficients measuring the association between items and restscores are often used in an informal…
Descriptors: Item Analysis, Correlation, Item Response Theory, Models
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Kane, Michael T.; Moloney, James M. – 1976
The Answer-Until-Correct (AUC) procedure has been proposed in order to increase the reliability of multiple-choice items. A model for examinees' behavior when they must respond to each item until they answer it correctly is presented. An expression for the reliability of AUC items, as a function of the characteristics of the item and the scoring…
Descriptors: Guessing (Tests), Item Analysis, Mathematical Models, Multiple Choice Tests
Warm, Thomas A. – 1978
This primer is an introduction to item response theory (also called item characteristic curve theory, or latent trait theory) as it is used most commonly--for scoring multiple choice achievement or aptitude tests. Written for the testing practitioner with minimum training in statistics and psychometrics, it presents and illustrates the basic…
Descriptors: Ability Identification, Achievement Tests, Adaptive Testing, Aptitude Tests
Sympson, James B. – 1979
Development of The Assessment of Basic Competencies (ABC), a test battery based on the three-parameter logistic model, is described. Eleven dimensions of intellectual growth are measured, from the pre-kindergarten level through ninth grade. An educationally relevant skill domain is represented by each test. Unique properties of the test, based on…
Descriptors: Academic Ability, Cognitive Processes, Cognitive Tests, Elementary Education