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| Shermis, Mark D. | 5 |
| Brown, Mike | 1 |
| Bublitz, Scott T. | 1 |
| Lillig, Clo | 1 |
| Mzumara, Howard | 1 |
| Mzumara, Howard R. | 1 |
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Shermis, Mark D.; Mzumara, Howard; Brown, Mike; Lillig, Clo – 1997
An important problem facing institutions of higher education is the number of students reporting that they are not adequately prepared for the difficulty of college-level courses. To meet this problem, a computerized adaptive testing package was developed that permitted remote placement testing of high school students via the World Wide Web. The…
Descriptors: Adaptive Testing, Adolescents, Computer Assisted Testing, High Schools
Peer reviewedShermis, Mark D.; Mzumara, Howard R.; Bublitz, Scott T. – Journal of Educational Computing Research, 2001
This study of undergraduates examined differences between computer adaptive testing (CAT) and self-adaptive testing (SAT), including feedback conditions and gender differences. Results of the Test Anxiety Inventory, Computer Anxiety Rating Scale, and a Student Attitude Questionnaire showed measurement efficiency is differentially affected by test…
Descriptors: Adaptive Testing, Computer Anxiety, Computer Assisted Testing, Gender Issues
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
Peer reviewedShermis, Mark D.; And Others – Journal of Research on Computing in Education, 1996
Describes a pilot study of computerized adaptive testing in the Michigan Educational Assessment Program's tenth-grade mathematics problem-solving and applications subtests. Comparisons are made to pencil-and-paper tests, and student reactions as determined by a posttest survey are discussed. (LRW)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Grade 10


