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Ho, James K. – Collegiate Microcomputer, 1987
Explains how spreadsheet software can be used in the design and grading of academic tests and in assigning grades. Macro programs and menu-driven software are highlighted and an example using IBM PCs and Lotus 1-2-3 software is given. (Author/LRW)
Descriptors: Computer Assisted Testing, Data Processing, Grading, Menu Driven Software
Peer reviewedColberg, Magda – Personnel Psychology, 1985
Logic-based measurement brings into verbal reasoning tests the inferential objectivity of numerical reasoning tests. Implications for personnel selection include performance prediction, legal defensibility of personnel selection tests, design of economical tests, and test taxonomies which sample basic inferential processes. The linkage of…
Descriptors: Computer Assisted Testing, Influences, Logic, Objective Tests
Wedman, John F.; Stefanich, Greg P. – Educational Technology, 1984
Offers guidelines for designing computer-based testing which demands high-level cognitive functioning of students using computer-assisted instruction as a learning mode. Examples of conceptual, principle, and procedural learning evaluation approaches, strengths and weaknesses within the formats described, and suggestions for improving the…
Descriptors: Cognitive Objectives, Computer Assisted Instruction, Computer Assisted Testing, Evaluation Methods
Schmidt, Steve; Strachota, Elaine; Conceicao, Simone – Online Submission, 2006
This paper examines two empirical studies that used online surveys to collect data to measure satisfaction in job training and workforce development. A description of each study, findings related to response rate, the processes used in online survey development and implementation, as well as recommendations for the future use of online surveys…
Descriptors: Job Training, Internet, Test Construction, Job Satisfaction
Weissman, Alexander – 2003
This study investigated the efficiency of item selection in a computerized adaptive test (CAT), where efficiency was defined in terms of the accumulated test information at an examinee's true ability level. A simulation methodology compared the efficiency of 2 item selection procedures with 5 ability estimation procedures for CATs of 5, 10, 15,…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Maximum Likelihood Statistics
van der Linden, Wim J. – 2002
The Sympson and Hetter (SH; J. Sympson and R. Hetter; 1985; 1997) method is a method of probabilistic item exposure control in computerized adaptive testing. Setting its control parameters to admissible values requires an iterative process of computer simulations that has been found to be time consuming, particularly if the parameters have to be…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Law Schools
van der Linden, Wim J.; Veldkamp, Bernard P. – 2002
Item-exposure control in computerized adaptive testing is implemented by imposing item-ineligibility constraints on the assembly process of the shadow tests. The method resembles J. Sympson and R. Hetter's (1985) method of item-exposure control in that the decisions to impose the constraints are probabilistic. However, the method does not require…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Law Schools
Reese, Lynda M.; Schnipke, Deborah L. – 1999
A two-stage design provides a way of roughly adapting item difficulty to test-taker ability. All test takers take a parallel stage-one test, and based on their scores, they are routed to tests of different difficulty levels in the second stage. This design provides some of the benefits of standard computer adaptive testing (CAT), such as increased…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Difficulty Level
Wiggers, Thomas B. – Educational Computer Magazine, 1982
Describes the Examination Question System, a computer-assisted testing system developed by and used at the University of Mississippi School of Health Related Professions. Individual programs within the system are described and ordering information is included. (JJD)
Descriptors: Computer Assisted Testing, Computer Oriented Programs, Higher Education, Item Banks
Peer reviewedAndrich, David – Psychometrika, 1995
This book discusses adapting pencil-and-paper tests to computerized testing. Mention is made of models for graded responses to items and of possibilities beyond pencil-and-paper-tests, but the book is essentially about dichotomously scored test items. Contrasts between item response theory and classical test theory are described. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Scores
Peer reviewedStocking, Martha L.; And Others – Applied Psychological Measurement, 1993
A method of automatically selecting items for inclusion in a test with constraints on item content and statistical properties was applied to real data. Tests constructed manually from the same data and constraints were compared to tests constructed automatically. Results show areas in which automated assembly can improve test construction. (SLD)
Descriptors: Algorithms, Automation, Comparative Testing, Computer Assisted Testing
Peer reviewedDu, Yi; And Others – Applied Measurement in Education, 1993
A new computerized mastery test is described that builds on the Lewis and Sheehan procedure (sequential testlets) (1990), but uses fuzzy set decision theory to determine stopping rules and the Rasch model to calibrate items and estimate abilities. Differences between fuzzy set and Bayesian methods are illustrated through an example. (SLD)
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Assisted Testing, Estimation (Mathematics)
Halkitis, Perry N.; Leahy, Julia M. – Nursing and Health Care, 1993
Explains computerized adaptive testing (CAT) and its basis in item response theory. Describes a CAT program in pharmacology. (SK)
Descriptors: Adaptive Testing, Computer Assisted Testing, Higher Education, Individualized Instruction
Kolen, Michael J. – Educational Assessment, 1999
Develops a conceptual framework that addresses score comparability for performance assessments, adaptive tests, paper-and-pencil tests, and alternate item pools for computerized tests. Outlines testing situation aspects that might threaten score comparability and describes procedures for evaluating the degree of score comparability. Suggests ways…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Performance Based Assessment
Huitzing, Hiddo A. – Applied Psychological Measurement, 2004
This article shows how set covering with item sampling (SCIS) methods can be used in the analysis and preanalysis of linear programming models for test assembly (LPTA). LPTA models can construct tests, fulfilling a set of constraints set by the test assembler. Sometimes, no solution to the LPTA model exists. The model is then said to be…
Descriptors: Mathematical Applications, Simulation, Item Sampling, Item Response Theory

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