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Green, Bert F. – 2002
Maximum likelihood and Bayesian estimates of proficiency, typically used in adaptive testing, use item weights that depend on test taker proficiency to estimate test taker proficiency. In this study, several methods were explored through computer simulation using fixed item weights, which depend mainly on the items difficulty. The simpler scores…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Simulation
Chung, Gregory K. W. K.; Herl, Howard E.; Klein, Davina C. D.; O'Neil, Harold F., Jr.; Schacter, John – 1997
This report examines issues in the scale-up of assessment software from the Center for Research on Evaluation, Standards, and Student Testing (CRESST). "Scale-up" is used in a metaphorical sense, meaning adding new assessment tools to CRESST's assessment software. During the past several years, CRESST has been developing and evaluating a…
Descriptors: Computer Assisted Testing, Computer Software, Concept Mapping, Educational Assessment
Weiss, David J.; Suhadolnik, Debra – 1982
The present monte carlo simulation study was designed to examine the effects of multidimensionality during the administration of computerized adaptive testing (CAT). It was assumed that multidimensionality existed in the individuals to whom test items were being administered, i.e., that the correct or incorrect responses given by an individual…
Descriptors: Adaptive Testing, Computer Assisted Testing, Factor Structure, Latent Trait Theory
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Bennett, Randy Elliot; Persky, Hilary; Weiss, Andrew R.; Jenkins, Frank – National Center for Education Statistics, 2007
The Problem Solving in Technology-Rich Environments (TRE) study was designed to demonstrate and explore innovative use of computers for developing, administering, scoring, and analyzing the results of National Assessment of Educational Progress (NAEP) assessments. Two scenarios (Search and Simulation) were created for measuring problem solving…
Descriptors: Computer Assisted Testing, National Competency Tests, Problem Solving, Simulation
Chung, Gregory K. W. K.; Baker, Eva L. – 1997
This report documents the technology initiatives of the Center for Research on Evaluation, Standards, and Student Testing (CRESST) in two broad areas: (1) using technology to improve the quality, utility, and feasibility of existing measures; and (2) using technology to design and develop new assessments and measurement approaches available…
Descriptors: Computer Assisted Testing, Constructed Response, Educational Planning, Educational Technology
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission
Huynh, Huynh; Saunders, Joseph C. – 1980
A basic technical framework is provided for the design and use of mastery tests. The Mastery Testing Project (MTP) prepared this framework using advanced mathematics supplemented with computer simulation based on real test data collected by the South Carolina Statewide Testing Program. The MTP focused on basic technical issues encountered in using…
Descriptors: Ability Identification, Annotated Bibliographies, Bayesian Statistics, Computer Assisted Testing