Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 6 |
Descriptor
Adaptive Testing | 18 |
Item Banks | 18 |
Models | 18 |
Computer Assisted Testing | 14 |
Test Items | 8 |
Test Construction | 6 |
Measurement Techniques | 5 |
Computation | 4 |
Evaluation Methods | 4 |
Item Response Theory | 4 |
Psychometrics | 4 |
More ▼ |
Source
Author
Rizavi, Saba | 2 |
Way, Walter D. | 2 |
Weiss, David J. | 2 |
Arendasy, Martin E. | 1 |
Ariel, Adelaide | 1 |
Bejar, Isaac I. | 1 |
Berger, Martijn P. F. | 1 |
Cho, Youngmi | 1 |
Clark, Cynthia L., Ed. | 1 |
Davey, Tim | 1 |
Dodd, Barbara | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 3 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
California Achievement Tests | 2 |
Graduate Management Admission… | 1 |
Law School Admission Test | 1 |
Medical College Admission Test | 1 |
What Works Clearinghouse Rating
Han, Kyung T.; Rudner, Lawrence M. – Graduate Management Admission Council, 2014
This study uses mixed integer quadratic programming (MIQP) to construct multiple highly equivalent item pools simultaneously, and compares the results from mixed integer programming (MIP). Three different MIP/MIQP models were implemented and evaluated using real CAT item pool data with 23 different content areas and a goal of equal information…
Descriptors: Item Banks, Programming, Computer Assisted Testing, Adaptive Testing
Arendasy, Martin E.; Sommer, Markus – Learning and Individual Differences, 2012
The use of new test administration technologies such as computerized adaptive testing in high-stakes educational and occupational assessments demands large item pools. Classic item construction processes and previous approaches to automatic item generation faced the problems of a considerable loss of items after the item calibration phase. In this…
Descriptors: Item Banks, Test Items, Adaptive Testing, Psychometrics
Jiao, Hong; Macready, George; Liu, Junhui; Cho, Youngmi – Applied Psychological Measurement, 2012
This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback-Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions. When item separation was…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Identification
Thompson, Nathan A.; Weiss, David J. – Practical Assessment, Research & Evaluation, 2011
A substantial amount of research has been conducted over the past 40 years on technical aspects of computerized adaptive testing (CAT), such as item selection algorithms, item exposure controls, and termination criteria. However, there is little literature providing practical guidance on the development of a CAT. This paper seeks to collate some…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Construction, Models
Huebner, Alan – Practical Assessment, Research & Evaluation, 2010
Cognitive diagnostic modeling has become an exciting new field of psychometric research. These models aim to diagnose examinees' mastery status of a group of discretely defined skills, or attributes, thereby providing them with detailed information regarding their specific strengths and weaknesses. Combining cognitive diagnosis with computer…
Descriptors: Cognitive Tests, Diagnostic Tests, Computer Assisted Testing, Adaptive Testing
Patelis, Thanos – College Entrance Examination Board, 2000
Because different types of computerized tests exist and continue to emerge, the term "computer-based testing" does not encompass all of the various models that may exist. As a result, test delivery model (TDM) is used to describe the variety of methods that exist in delivering tests to examinees. The criterion that is used to distinguish…
Descriptors: Computer Assisted Testing, Adaptive Testing, Models, Delivery Systems
Stocking, Martha L. – 1993
In the context of paper and pencil testing, the frequency of the exposure of items is usually controlled through policies that regulate both the reuse of test forms and the frequency with which a candidate may retake the test. In the context of computerized adaptive testing, where item pools are large and expensive to produce and testing can be on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Models

Koch, William R.; Dodd, Barbara G. – Educational and Psychological Measurement, 1995
Basic procedures for performing computerized adaptive testing based on the successive intervals (SI) Rasch model were evaluated. The SI model was applied to simulated and real attitude data sets. Item pools as small as 30 items performed well, and the model appeared practical for Likert-type data. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Item Response Theory
Gorin, Joanna; Dodd, Barbara; Fitzpatrick, Steven; Shieh, Yann – Applied Psychological Measurement, 2005
The primary purpose of this research is to examine the impact of estimation methods, actual latent trait distributions, and item pool characteristics on the performance of a simulated computerized adaptive testing (CAT) system. In this study, three estimation procedures are compared for accuracy of estimation: maximum likelihood estimation (MLE),…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computation, Test Items
Revuelta, Javier – Journal of Educational and Behavioral Statistics, 2004
This article presents a psychometric model for estimating ability and item-selection strategies in self-adapted testing. In contrast to computer adaptive testing, in self-adapted testing the examinees are allowed to select the difficulty of the items. The item-selection strategy is defined as the distribution of difficulty conditional on the…
Descriptors: Psychometrics, Adaptive Testing, Test Items, Evaluation Methods
van der Linden, Wim J.; Ariel, Adelaide; Veldkamp, Bernard P. – Journal of Educational and Behavioral Statistics, 2006
Test-item writing efforts typically results in item pools with an undesirable correlational structure between the content attributes of the items and their statistical information. If such pools are used in computerized adaptive testing (CAT), the algorithm may be forced to select items with less than optimal information, that violate the content…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Item Banks
Weiss, David J. – 1973
This report describes the stratified adaptive (stradaptive) test as a strategy for tailoring an ability test to individual differences in testee ability; administration of the test is controlled by a time-shared computer system. The rationale of this method is described as it derives from Binet's strategy of ability test administration and…
Descriptors: Adaptive Testing, Branching, Computer Assisted Testing, Individual Testing
Veerkamp, Wim J. J.; Berger, Martijn P. F. – 1994
Items with the highest discrimination parameter values in a logistic item response theory (IRT) model do not necessarily give maximum information. This paper shows which discrimination parameter values (as a function of the guessing parameter and the distance between person ability and item difficulty) give maximum information for the…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Hambleton, Ronald K. – 1989
A brief overview of item response theory is provided, and a 186-item bibliography of books and articles on the subject dating from 1953 to June 1989 is presented. The overview includes a definition of the theory, a discussion of its development and application, and comparisons with classical test theory. All publications in the bibliography were…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Software, Equated Scores
Bejar, Isaac I.; And Others – 1977
The applicability of item characteristic curve (ICC) theory to a multiple choice test item pool used to measure achievement is described. The rationale for attempting to use ICC theory in an achievement framework is summarized, and the adequacy for adaptive testing of a classroom achievement test item pool in a college biology class is studied.…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Biology
Previous Page | Next Page »
Pages: 1 | 2