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) | 3 |
Descriptor
Adaptive Testing | 6 |
Computation | 6 |
Scores | 6 |
Computer Assisted Testing | 4 |
Comparative Analysis | 3 |
Test Items | 3 |
Accuracy | 2 |
Bayesian Statistics | 2 |
Context Effect | 2 |
Error of Measurement | 2 |
High Stakes Tests | 2 |
More ▼ |
Source
ETS Research Report Series | 3 |
Educational Testing Service | 1 |
Journal of Speech, Language,… | 1 |
Psychometrika | 1 |
Author
Davey, Tim | 2 |
Herbert, Erin | 2 |
Rizavi, Saba | 2 |
Way, Walter D. | 2 |
Fergadiotis, Gerasimos | 1 |
Hsiung, Chao A. | 1 |
Hula, William D. | 1 |
Kellough, Stacey | 1 |
Kim, Sooyeon | 1 |
Lin, Miao-Hsiang | 1 |
Moses, Tim | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Reports - Evaluative | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 1 | 1 |
Grade 3 | 1 |
Kindergarten | 1 |
Primary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Early Childhood Longitudinal… | 1 |
What Works Clearinghouse Rating
Hula, William D.; Kellough, Stacey; Fergadiotis, Gerasimos – Journal of Speech, Language, and Hearing Research, 2015
Purpose: The purpose of this study was to develop a computerized adaptive test (CAT) version of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996), to reduce test length while maximizing measurement precision. This article is a direct extension of a companion article (Fergadiotis, Kellough, & Hula, 2015),…
Descriptors: Computer Assisted Testing, Adaptive Testing, Naming, Test Construction
Kim, Sooyeon; Moses, Tim; Yoo, Hanwook Henry – ETS Research Report Series, 2015
The purpose of this inquiry was to investigate the effectiveness of item response theory (IRT) proficiency estimators in terms of estimation bias and error under multistage testing (MST). We chose a 2-stage MST design in which 1 adaptation to the examinees' ability levels takes place. It includes 4 modules (1 at Stage 1, 3 at Stage 2) and 3 paths…
Descriptors: Item Response Theory, Computation, Statistical Bias, Error of Measurement
Rock, Donald A. – ETS Research Report Series, 2007
This paper presents a strategy for measuring cognitive gains in reading during the early school years. It is argued that accurate estimates of gain scores and their appropriate interpretation requires the use of adaptive tests with multiple criterion referenced points that mark learning milestones. It is further argued that two different measures…
Descriptors: Scores, Cognitive Development, Computation, Test Interpretation

Lin, Miao-Hsiang; Hsiung, Chao A. – Psychometrika, 1994
Two simple empirical approximate Bayes estimators are introduced for estimating domain scores under binomial and hypergeometric distributions respectively. Criteria are established regarding use of these functions over maximum likelihood estimation counterparts. (SLD)
Descriptors: Adaptive Testing, Bayesian Statistics, Computation, Equations (Mathematics)
Rizavi, Saba; Way, Walter D.; Davey, Tim; Herbert, Erin – ETS Research Report Series, 2004
Item parameter estimates vary for a variety of reasons, including estimation error, characteristics of the examinee samples, and context effects (e.g., item location effects, section location effects, etc.). Although we expect variation based on theory, there is reason to believe that observed variation in item parameter estimates exceeds what…
Descriptors: Test Items, Computer Assisted Testing, Computation, Adaptive Testing
Rizavi, Saba; Way, Walter D.; Davey, Tim; Herbert, Erin – Educational Testing Service, 2004
Item parameter estimates vary for a variety of reasons, including estimation error, characteristics of the examinee samples, and context effects (e.g., item location effects, section location effects, etc.). Although we expect variation based on theory, there is reason to believe that observed variation in item parameter estimates exceeds what…
Descriptors: Adaptive Testing, Test Items, Computation, Context Effect