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Lewis, Jennifer; Lim, Hwanggyu; Padellaro, Frank; Sireci, Stephen G.; Zenisky, April L. – Educational Measurement: Issues and Practice, 2022
Setting cut scores on (MSTs) is difficult, particularly when the test spans several grade levels, and the selection of items from MST panels must reflect the operational test specifications. In this study, we describe, illustrate, and evaluate three methods for mapping panelists' Angoff ratings into cut scores on the scale underlying an MST. The…
Descriptors: Cutting Scores, Adaptive Testing, Test Items, Item Analysis

Sireci, Stephen G.; Robin, Frederic; Patelis, Thanos – Applied Measurement in Education, 1999
Presents a procedure for standard setting that involves the cluster analysis of test takers to discover examinee groups that are useful for envisioning marginally competent performance or defining borderline or contrasting groups. Illustrates use of the procedure with a statewide mathematics test, and concludes that cluster analysis is useful in…
Descriptors: Cluster Analysis, Mathematics Tests, Standard Setting (Scoring), Standards
Sireci, Stephen G.; Patelis, Thanos; Rizavi, Saba; Dillingham, Alan M.; Rodriguez, Georgette – 2000
Setting standards on educational tests is extremely challenging. The psychometric literature is replete with methods and guidelines for setting standards on educational tests; however, little attention has been paid to the process of setting standards on computerized adaptive tests (CATs). This lack of attention is unfortunate because CATs are…
Descriptors: Adaptive Testing, College Bound Students, Computer Assisted Testing, Higher Education

Sireci, Stephen G. – 1995
This paper presents and evaluates a new procedure to classify examinees into meaningful categories based on their responses to (performance on) items comprising a test instrument. The proposed procedure uses the data analytic technique of cluster analysis to partition the examinee population into homogeneous groupings. This procedure was applied…
Descriptors: Classification, Cluster Analysis, Equated Scores, High School Equivalency Programs
Sireci, Stephen G.; Robin, Frederic; Patelis, Thanos – 1997
The most popular methods for setting passing scores and other standards on educational tests rely heavily on subjective judgment. This paper presents and evaluates a new procedure for setting and evaluating standards on tests based on cluster analysis of test data. The clustering procedure was applied to a statewide mathematics proficiency test…
Descriptors: Cluster Analysis, Cutting Scores, Educational Testing, Evaluation Methods