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Rudner, Lawrence M. – Practical Assessment, Research & Evaluation, 2009
This paper describes and evaluates the use of measurement decision theory (MDT) to classify examinees based on their item response patterns. The model has a simple framework that starts with the conditional probabilities of examinees in each category or mastery state responding correctly to each item. The presented evaluation investigates: (1) the…
Descriptors: Classification, Scoring, Item Response Theory, Measurement
Peer reviewedRudner, Lawrence M. – Practical Assessment, Research & Evaluation, 2001
Provides and illustrates a method to compute the expected number of misclassifications of examinees using three-parameter item response theory and two state classifications (mastery or nonmastery). The method uses the standard error and the expected examinee ability distribution. (SLD)
Descriptors: Ability, Classification, Computation, Error of Measurement
Peer reviewedRudner, Lawrence M.; Schafer, William D. – Practical Assessment, Research & Evaluation, 1999
Discusses the common sections of a research report and describes some frequently made mistakes. The emphasis is on reports prepared for scholarly, peer-reviewed publication, but the points are applicable to other forms of research reports. (SLD)
Descriptors: Research Reports, Scholarly Journals, Scholarship

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