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Peer reviewedShermis, Mark D.; Averitt, Jason – Educational Measurement: Issues and Practice, 2002
Outlines a series of security steps that might be taken by researchers or organizations that are contemplating Web-based tests and performance assessments. Focuses on what can be done to avoid the loss, compromising, or modification of data collected by or stored through the Internet. (SLD)
Descriptors: Computer Assisted Testing, Data Collection, Performance Based Assessment, Test Construction
Shermis, Mark D.; DiVesta, Francis J. – Rowman & Littlefield Publishers, Inc., 2011
"Classroom Assessment in Action" clarifies the multi-faceted roles of measurement and assessment and their applications in a classroom setting. Comprehensive in scope, Shermis and Di Vesta explain basic measurement concepts and show students how to interpret the results of standardized tests. From these basic concepts, the authors then…
Descriptors: Student Evaluation, Standardized Tests, Scores, Measurement
Peer reviewedShermis, Mark D.; And Others – Journal of Developmental Education, 1996
Describes a study to pilot-test a new reading assessment instrument designed to function in a computerized adaptive testing (CAT) environment. Indicates that the measure showed fair internal consistency and correlated well with other tests. Discusses advantages and disadvantages of CAT systems and describes the HyperCAT testing program. (23…
Descriptors: Computer Assisted Testing, Diagnostic Tests, Higher Education, Pilot Projects
Peer reviewedShermis, Mark D.; And Others – Roeper Review, 1996
Three study cohorts involving 199 gifted fifth graders, 190 gifted sixth graders, and 683 typical sixth graders were used to construct, validate, and pilot a computerized adaptive math test for placing fifth graders in a middle school mathematics gifted program. Results suggest the adaptive test has potential for talent identification. (Author/CR)
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Evaluation Methods
Shermis, Mark D.; And Others – 1992
The reliability of four branching algorithms commonly used in computer adaptive testing (CAT) was examined. These algorithms were: (1) maximum likelihood (MLE); (2) Bayesian; (3) modal Bayesian; and (4) crossover. Sixty-eight undergraduate college students were randomly assigned to one of the four conditions using the HyperCard-based CAT program,…
Descriptors: Adaptive Testing, Algorithms, Bayesian Statistics, Comparative Analysis

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