Publication Date
| In 2026 | 3 |
| Since 2025 | 477 |
| Since 2022 (last 5 years) | 2435 |
| Since 2017 (last 10 years) | 6615 |
| Since 2007 (last 20 years) | 18019 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 2140 |
| Teachers | 1218 |
| Researchers | 1054 |
| Administrators | 486 |
| Policymakers | 456 |
| Students | 176 |
| Parents | 147 |
| Counselors | 100 |
| Community | 61 |
| Media Staff | 17 |
| Support Staff | 15 |
| More ▼ | |
Location
| Canada | 784 |
| Australia | 691 |
| United States | 582 |
| California | 569 |
| United Kingdom | 479 |
| Texas | 414 |
| Florida | 403 |
| Germany | 392 |
| New York | 378 |
| United Kingdom (England) | 369 |
| China | 361 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 17 |
| Meets WWC Standards with or without Reservations | 22 |
| Does not meet standards | 21 |
Swygert, Kimberly A. – 2003
In this study, data from an operational computerized adaptive test (CAT) were examined in order to gather information concerning item response times in a CAT environment. The CAT under study included multiple-choice items measuring verbal, quantitative, and analytical reasoning. The analyses included the fitting of regression models describing the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Participant Characteristics
van der Linden, Wim J. – 2002
The Sympson and Hetter (SH; J. Sympson and R. Hetter; 1985; 1997) method is a method of probabilistic item exposure control in computerized adaptive testing. Setting its control parameters to admissible values requires an iterative process of computer simulations that has been found to be time consuming, particularly if the parameters have to be…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Law Schools
van der Linden, Wim J.; Veldkamp, Bernard P. – 2002
Item-exposure control in computerized adaptive testing is implemented by imposing item-ineligibility constraints on the assembly process of the shadow tests. The method resembles J. Sympson and R. Hetter's (1985) method of item-exposure control in that the decisions to impose the constraints are probabilistic. However, the method does not require…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Law Schools
Peer reviewedReed, Suellen – State Education Standard, 2000
The increased use of large-scale assessments to measure student achievement and school performance based on defined standards has had a profound impact on state board of education members and other state policymakers. Almost any decision that involves applying standards will, at some point, be unpopular. Everyone seems to be in favor of standards,…
Descriptors: Educational Policy, Large Scale Assessment, State Programs, State Standards
PDF pending restorationGreen, Bert F. – 2002
Maximum likelihood and Bayesian estimates of proficiency, typically used in adaptive testing, use item weights that depend on test taker proficiency to estimate test taker proficiency. In this study, several methods were explored through computer simulation using fixed item weights, which depend mainly on the items difficulty. The simpler scores…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Simulation
Reese, Lynda M.; Schnipke, Deborah L. – 1999
A two-stage design provides a way of roughly adapting item difficulty to test-taker ability. All test takers take a parallel stage-one test, and based on their scores, they are routed to tests of different difficulty levels in the second stage. This design provides some of the benefits of standard computer adaptive testing (CAT), such as increased…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Difficulty Level
Plumer, Gilbert E. – 2000
In the context of examining the feasibility and advisability of computerizing the Law School Admission Test (LSAT), a review of current literature was conducted with the following goals: (1) determining the skills that are most important in good legal reasoning according to the literature; (2) determining the extent to which existing LSAT item…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Law Schools
van der Linden, Wim J.; Reese, Lynda M. – 2001
A model for constrained computerized adaptive testing is proposed in which the information on the test at the ability estimate is maximized subject to a large variety of possible constraints on the contents of the test. At each item-selection step, a full test is first assembled to have maximum information at the current ability estimate fixing…
Descriptors: Ability, Adaptive Testing, College Entrance Examinations, Computer Assisted Testing
Parshall, Cynthia G.; Kromrey, Jeffrey D.; Harmes, J. Christine; Sentovich, Christina – 2001
Computerized adaptive tests (CATs) are efficient because of their optimal item selection procedures that target maximally informative items at each estimated ability level. However, operational administration of these optimal CATs results in a relatively small subset of items given to examinees too often, while another portion of the item pool is…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
Roussos, Louis; Nandakumar, Ratna; Cwikla, Julie – 2000
CATSIB is a differential item functioning (DIF) assessment methodology for computerized adaptive test (CAT) data. Kernel smoothing (KS) is a technique for nonparametric estimation of item response functions. In this study an attempt has been made to develop a more efficient DIF procedure for CAT data, KS-CATSIB, by combining CATSIB with kernel…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Bias, Item Response Theory
Matter, M. Kevin – 1999
This digest presents seven strategies that an assessment director may use to improve test administration practices. These strategies highlight clear communication, the responsibility of the Building Test Coordinator, and rewarding and reinforcing quality. The strategies are: (1) focusing on communication; (2) designating a building test…
Descriptors: Communication (Thought Transfer), Coordination, Educational Assessment, Educational Planning
McLeod, Lori D.; Schnipke, Deborah L. – 1999
Because scores on high-stakes tests influence many decisions, tests need to be secure. Decisions based on scores affected by preknowledge of items are unacceptable. New methods are needed to detect the new cheating strategies used for computer-administered tests because item pools are typically used over time, providing the potential opportunity…
Descriptors: Adaptive Testing, Cheating, Computer Assisted Testing, High Stakes Tests
Peer reviewedEgerton, John – Change, 1973
In this interview, Leon Kamin, a prominent psychologist, rejects the theory that intelligence is transmitted by heredity. He deplores the practice of finding scientific data to support political policies, and he challenges that standardized tests-as they are now used-create social harm. (Editor/PG)
Descriptors: Higher Education, Intelligence Tests, Measurement Techniques, Student Evaluation
Peer reviewedGaldieri, Anthony A.; And Others – Psychology in the Schools, 1972
Results of the study indicate that regardless of the presence or absence of verbal approval by the examiner during the administration, there was no significant difference in children's test performance on the WISC. (Author)
Descriptors: Elementary School Students, Intelligence Tests, Lower Class Students, Performance Factors
Karas, Shawky F. – Psychol Rep, 1969
Descriptors: Academic Achievement, Achievement Tests, Educational Testing, Intelligence Tests


