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Meijer, Rob R. – 2001
Recent developments of person-fit analysis in computerized adaptive testing (CAT) are discussed. Methods from statistical process control are presented that have been proposed to classify an item score pattern as fitting or misfitting the underlying item response theory (IRT) model in a CAT. Most person-fit research in CAT is restricted to…
Descriptors: Adaptive Testing, Certification, Computer Assisted Testing, High Stakes Tests
Nandakumar, Ratna; Roussos, Louis – 2001
Computerized adaptive tests (CATs) pose major obstacles to the traditional assessment of differential item functioning (DIF). This paper proposes a modification of the SIBTEST DIF procedure for CATs, called CATSIB. CATSIB matches test takers on estimated ability based on unidimensional item response theory. To control for impact-induced Type I…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Identification
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
Thomas, William R. – 2003
This report, based on a survey completed by testing directors in states that are members of the Southern Regional Education Board (SREB), describes the status of online testing in SREB states. Overall, SREB states are paying limited attention to online testing. Only Virginia is moving systematically to implement online testing. By spring 2004, all…
Descriptors: Adaptive Testing, Computer Assisted Testing, Online Systems, Standardized Tests
Zhu, Renbang; Yu, Feng; Liu, Su – 2002
A computerized adaptive test (CAT) administration usually requires a large supply of items with accurately estimated psychometric properties, such as item response theory (IRT) parameter estimates, to ensure the precision of examinee ability estimation. However, an estimated IRT model of a given item in any given pool does not always correctly…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
Glas, Cees A. W.; Vos, Hans J. – 2000
This paper focuses on a version of sequential mastery testing (i.e., classifying students as a master/nonmaster or continuing testing and administering another item or testlet) in which response behavior is modeled by a multidimensional item response theory (IRT) model. First, a general theoretical framework is outlined that is based on a…
Descriptors: Adaptive Testing, Bayesian Statistics, Classification, Computer Assisted Testing
Drasgow, Fritz, Ed.; Olson-Buchanan, Julie B., Ed. – 1999
Chapters in this book present the challenges and dilemmas faced by researchers as they created new computerized assessments, focusing on issues addressed in developing, scoring, and administering the assessments. Chapters are: (1) "Beyond Bells and Whistles; An Introduction to Computerized Assessment" (Julie B. Olson-Buchanan and Fritz Drasgow);…
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Scoring
Peer reviewedBerger, Martijn P. F.; Veerkamp, Wim J. J. – Journal of Educational and Behavioral Statistics, 1997
Some alternative criteria for item selection in adaptive testing are proposed that take into account uncertainty in the ability estimates. A simulation study shows that the likelihood weighted information criterion is a good alternative to the maximum information criterion. Another good alternative uses a Bayesian expected a posteriori estimator.…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Peer reviewedChang, Hua-Hua; Ying, Zhiliang – Applied Psychological Measurement, 1996
An item selection procedure for computerized adaptive testing based on average global information is proposed. Results from simulation studies comparing the approach with the usual maximum item information item selection indicate that the new method leads to improvement in terms of bias and mean squared error reduction under many circumstances.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Error of Measurement, Item Response Theory
Peer reviewedAdema, Jos J. – Journal of Educational Measurement, 1990
Mixed integer linear programing models for customizing two-stage tests are presented. Model constraints are imposed with respect to test composition, administration time, inter-item dependencies, and other practical considerations. The models can be modified for use in the construction of multistage tests. (Author/TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Equations (Mathematics), Linear Programing
Peer reviewedHetter, Rebecca D.; And Others – Applied Psychological Measurement, 1994
Effects on computerized adaptive test score of using a paper-and-pencil (P&P) calibration to select items and estimate scores were compared with effects of using computer calibration. Results with 2,999 Navy recruits support the use of item parameters calibrated from either P&P or computer administrations. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Estimation (Mathematics)
Peer reviewedStocking, Martha L.; Swanson, Len – Applied Psychological Measurement, 1993
A method is presented for incorporating a large number of constraints on adaptive item selection in the construction of computerized adaptive tests. The method, which emulates practices of expert test specialists, is illustrated for verbal and quantitative measures. Its foundation is application of a weighted deviations model and algorithm. (SLD)
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Expert Systems
Peer reviewedGierl, Mark J. – Applied Psychological Measurement, 1998
This book documents the research, development, and implementation efforts that allowed the U.S. Department of Defense to initiate the Computerized Adaptive Testing Armed Services Vocational Aptitude Battery Program for enlistment testing. Traces the history of this program over 30 years. (SLD)
Descriptors: Adaptive Testing, Aptitude Tests, Armed Forces, Computer Assisted Testing
Peer reviewedEggen, T. J. H. M.; Straetmans, G. J. J. M. – Educational and Psychological Measurement, 2000
Studied the use of adaptive testing when examinees are classified into three categories. Established testing algorithms with two different statistical computation procedures and evaluated them through simulation using an operative item bank from Dutch basic adult education. Results suggest a reduction of at least 22% in the mean number of items…
Descriptors: Adaptive Testing, Adult Education, Algorithms, Classification
Peer reviewedClark, Linda – T.H.E. Journal, 2004
Most educators today would agree that the mission of the teaching profession has become more complex and much more challenging than ever before. Changes in district demographics, societal pressures that require more personalized student attention, evermore stringent governmental demands, and constant budgetary concerns all have an impact on…
Descriptors: Teaching (Occupation), Adaptive Testing, Computer Assisted Testing, Academic Achievement


