White, David, Guilbert, Daniel, Varela, Victor P L et al. (2 more authors) (2022) GFMT2:A psychometric measure of face matching ability. Behavior research methods. pp. 252-260. ISSN 1554-351X
Abstract
We present an expanded version of a widely used measure of unfamiliar face matching ability, the Glasgow Face Matching Test (GFMT). The GFMT2 is created using the same source database as the original test but makes five key improvements. First, the test items include variation in head angle, pose, expression and subject-to-camera distance, making the new test more difficult and more representative of challenges in everyday face identification tasks. Second, short and long versions of the test each contain two forms that are calibrated to be of equal difficulty, allowing repeat tests to be performed to examine effects of training interventions. Third, the short-form tests contain no repeating face identities, thereby removing any confounding effects of familiarity that may have been present in the original test. Fourth, separate short versions are created to target exceptionally high performing or exceptionally low performing individuals using established psychometric principles. Fifth, all tests are implemented in an executable program, allowing them to be administered automatically. All tests are available free for scientific use via www.gfmt2.org .
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Psychonomic Society, Inc. 2021. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 01 Sep 2021 09:00 |
Last Modified: | 02 Feb 2025 00:07 |
Published Version: | https://doi.org/10.3758/s13428-021-01638-x |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.3758/s13428-021-01638-x |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177641 |
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