NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 571 to 585 of 1,350 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Connor, Carol M.; Alberto, Paul A.; Compton, Donald L.; O'Connor, Rollanda E. – National Center for Special Education Research, 2014
Reading difficulties and disabilities present serious and potentially lifelong challenges. Children who do not read well are more likely to be retained a grade in school, drop out of high school, become a teen parent, or enter the juvenile justice system. Building on the extant research and seminal studies, including the National Reading Panel and…
Descriptors: Reading Difficulties, Learning Disabilities, Reading Skills, At Risk Students
Pommerich, Mary – Journal of Technology, Learning, and Assessment, 2007
Computer administered tests are becoming increasingly prevalent as computer technology becomes more readily available on a large scale. For testing programs that utilize both computer and paper administrations, mode effects are problematic in that they can result in examinee scores that are artificially inflated or deflated. As such, researchers…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Scores
Georgiadou, Elissavet; Triantafillou, Evangelos; Economides, Anastasios A. – Journal of Technology, Learning, and Assessment, 2007
Since researchers acknowledged the several advantages of computerized adaptive testing (CAT) over traditional linear test administration, the issue of item exposure control has received increased attention. Due to CAT's underlying philosophy, particular items in the item pool may be presented too often and become overexposed, while other items are…
Descriptors: Adaptive Testing, Computer Assisted Testing, Scoring, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Penfield, Randall D. – Educational and Psychological Measurement, 2007
The standard error of the maximum likelihood ability estimator is commonly estimated by evaluating the test information function at an examinee's current maximum likelihood estimate (a point estimate) of ability. Because the test information function evaluated at the point estimate may differ from the test information function evaluated at an…
Descriptors: Simulation, Adaptive Testing, Computation, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Yi, Qing; Zhang, Jinming; Chang, Hua-Hua – Applied Psychological Measurement, 2006
In addition to its precision superiority over nonadaptive tests, another known advantage of computerized adaptive tests (CATs) is that they can be offered on a continuous basis. This is advantageous to examinees in terms of flexibility of test scheduling, as well as advantageous to schools and other testing centers in terms of both space and…
Descriptors: Adaptive Testing, Computer Assisted Testing, High Stakes Tests, Risk
van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – 1998
Person-fit research in the context of paper-and-pencil tests is reviewed, and some specific problems regarding person fit in the context of computerized adaptive testing (CAT) are discussed. Some new methods are proposed to investigate person fit in a CAT environment. These statistics are based on Statistical Process Control (SPC) theory. A…
Descriptors: Adaptive Testing, Computer Assisted Testing, Goodness of Fit, Simulation
Rizavi, Saba; Way, Walter D.; Davey, Tim; Herbert, Erin – 2002
The purpose of this study was to investigate and to quantify the tolerable error in item parameter estimates for different sets of items used in computer-based testing. The study examined items that were administered repeatedly to different examinee samples over time, examining items that were administered linearly in a fixed order each time they…
Descriptors: Adaptive Testing, Estimation (Mathematics), High Stakes Tests, Test Items
Rudner, Lawrence M. – 2000
This digest introduces ways of responding to the call for criterion-referenced information using Bayes' Theorem, a method that was coupled with criterion-referenced testing in the early 1970s (see R. Hambleton and M. Novick, 1973). To illustrate Bayes' Theorem, an example is given in which the goal is to classify an examinee as being a master or…
Descriptors: Adaptive Testing, Bayesian Statistics, Criterion Referenced Tests, Test Construction
Leung, Chi K.; Chang, Hua H.; Hau, Kit T. – 1999
An a-stratified design (H. Chang and Z. Ying, 1997) is a new concept proposed to address the issues of item security and pool utilization in testing. It has been demonstrated to be effective in lowering the test overlap rate and improving the use of the entire pool when content constraints are not main concerns. However, it cannot really solve the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Test Construction
Luecht, Richard M. – 2000
Computerized testing has created new challenges for the production and administration of test forms. This paper describes a multi-stage, testlet-based framework for test design, assembly, and administration called computer-adaptive sequential testing (CAST). CAST is a structured testing approach that is amenable to both adaptive and mastery…
Descriptors: Adaptive Testing, Computer Assisted Testing, Mastery Tests, Test Construction
Peer reviewed Peer reviewed
Chang, Hua-Hua; van der Linden, Wim J. – Applied Psychological Measurement, 2003
Developed a method based on 0-1 linear programming to stratify an item pool optimally for use in alpha-stratified adaptive testing. Applied the method to a previous item pool from the computerized adaptive test of the Graduate Record Examinations. Results show the new method performs well in practical situations. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Linear Programming
Peer reviewed Peer reviewed
Kingsbury, G. Gage; Zara, Anthony R. – Applied Measurement in Education, 1989
Several classical approaches and alternative approaches to item selection for computerized adaptive testing (CAT) are reviewed and compared. The study also describes procedures for constrained CAT that may be added to classical item selection approaches to allow them to be used for applied testing. (TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Test Length
Peer reviewed Peer reviewed
Timminga, Ellen – Applied Psychological Measurement, 1998
Discusses problems of diagnosing and repairing infeasible linear-programming models in computerized test assembly. Demonstrates that it is possible to localize the causes of infeasibility, although this is not always easy. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Linear Programming, Test Construction
Peer reviewed Peer reviewed
Cheng, Philip E.; Liou, Michelle – Applied Psychological Measurement, 2000
Reviewed methods of estimating theta suitable for computerized adaptive testing (CAT) and discussed the differences between Fisher and Kullback-Leibler information criteria for selecting items. Examined the accuracy of different CAT algorithms using samples from the National Assessment of Educational Progress. Results show when correcting for…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Peer reviewed Peer reviewed
Chang, Hua-Hua; Qian, Jiahe; Yang, Zhiliang – Applied Psychological Measurement, 2001
Proposed a refinement, based on the stratification of items developed by D. Weiss (1973), of the computerized adaptive testing item selection procedure of H. Chang and Z. Ying (1999). Simulation studies using an item bank from the Graduate Record Examination show the benefits of the new procedure. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Pages: 1  |  ...  |  35  |  36  |  37  |  38  |  39  |  40  |  41  |  42  |  43  |  ...  |  90