The International Cognitive Ability Resource (ICAR)
ICAR, a public-domain and opensource tool, is to provide a large and dynamic bank of cognitive ability measures for use in a wide variety of applications. By encouraging the use, revision and ongoing development of these measures among qualified research groups around the world, the ICAR will further understanding about the holistic structure of cognitive abilities as well as the nature of associations between cognitive ability constructs and other variables. ICAR will build heavily on automatic item generation techniques, which yield items with predictable psychometric qualities. The item generators developed for the ICAR will be distributed as functions in psychometrically-informed, easily implemented, open-source software. In addition, suitable statistical methodology will be developed and subprojects will use ICAR items to explore specific research questions. The impact of this international collaboration will be the creation of a platform for more standardized assessment and more rapid scientific progress among the disciplines and research groups around the world which use cognitive ability measures to diagnose impairments, evaluate the correlates of various abilities and predict important life outcomes.
Information for ICAR users
You need to fill in the registration form to gain access.
At the moment, you will be able to find the following item types from the ICAR project
- Three-Dimensional Rotation
- Letter and Number Series
- Matrix Reasoning
- Verbal Reasoning
- Progressive Matrices
- Number Series
- Perceptual Maze
- Face Detection
- Figural Analogies
- Melodic Discrimination
- Numerical Reasoning
- Abstract Reasoning
- Situational Judgement
Click to view our Sample tests
Citing ICAR scales
If not specified by authors of specific item types, you are encouraged to acknowledge the ICAR project by citing our website: The International Cognitive Ability Resource Team (2014). http://icar-project.com/.
Information for ICAR collaborators
- If you have thoughts, ideas or hypotheses about the ways that existing items could be improved, we encourage you to test them and share the results of your efforts with the larger community.
- If you have items which you would like to contribute, please contact us so that we can share this information with other researchers (your authorship would, of course, be maintained). For the foreseeable future, we do not intend to set forth formal procedures for including new item types with the exception that new items must have been validated in some generalizable context.