Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Models | 3 |
Test Validity | 3 |
Test Construction | 2 |
Test Items | 2 |
Achievement Tests | 1 |
Cognitive Tests | 1 |
Computer Assisted Testing | 1 |
Content Validity | 1 |
Difficulty Level | 1 |
Elementary Secondary Education | 1 |
Engineering | 1 |
More ▼ |
Source
Journal of Applied Testing… | 3 |
Author
Bergstrom, Betty | 1 |
Dickison, Philip | 1 |
Jiao, Hong | 1 |
Kim, Doyoung | 1 |
Li, Ying | 1 |
Lissitz, Robert W. | 1 |
Luecht, Richard M. | 1 |
Luo, Xiao | 1 |
Muntean, William | 1 |
Woo, Ada | 1 |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 2 |
Reports - Research | 1 |
Education Level
Elementary Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Luecht, Richard M. – Journal of Applied Testing Technology, 2013
Assessment engineering is a new way to design and implement scalable, sustainable and ideally lower-cost solutions to the complexities of designing and developing tests. It represents a merger of sorts between cognitive task modeling and engineering design principles--a merger that requires some new thinking about the nature of score scales, item…
Descriptors: Engineering, Test Construction, Test Items, Models
Dickison, Philip; Luo, Xiao; Kim, Doyoung; Woo, Ada; Muntean, William; Bergstrom, Betty – Journal of Applied Testing Technology, 2016
Designing a theory-based assessment with sound psychometric qualities to measure a higher-order cognitive construct is a highly desired yet challenging task for many practitioners. This paper proposes a framework for designing a theory-based assessment to measure a higher-order cognitive construct. This framework results in a modularized yet…
Descriptors: Thinking Skills, Cognitive Tests, Test Construction, Nursing
Li, Ying; Jiao, Hong; Lissitz, Robert W. – Journal of Applied Testing Technology, 2012
This study investigated the application of multidimensional item response theory (IRT) models to validate test structure and dimensionality. Multiple content areas or domains within a single subject often exist in large-scale achievement tests. Such areas or domains may cause multidimensionality or local item dependence, which both violate the…
Descriptors: Achievement Tests, Science Tests, Item Response Theory, Measures (Individuals)