Validity and repeatability of a new test for aniseikonia


Downloads per month over past year




Downloads per month over past year

Antona Peñalba, Beatriz and Barra Lázaro, Francisco and Barrio de Santos, Ana Rosa and González Díaz-Obregón, Enrique and Sánchez Pérez, Isabel (2007) Validity and repeatability of a new test for aniseikonia. Investigative Ophthalmology & Visual Science, 48 (1). pp. 58-62. ISSN 0146-0404

[thumbnail of 2006_iovs-Validity[eprints].pdf]

Official URL:


PURPOSE. The Aniseikonia Inspector 1.1 (AI) is a new software product to measure aniseikonia using red-green anaglyphs. The purpose of this study was to test whether the AI is a valid and reliable test.
METHODS. There were two groups of sample subjects: one at risk of aniseikonia, with anisometropia greater than or equal to 1.00 D (n = 29), and a control group (n = 45). The validity was studied by comparing the measured aniseikonia with the aniseikonia simulated with size lenses. The reliability was estimated by the Bland-Altman statistical method.
RESULTS. The results showed that the AI underestimated aniseikonia and that the underestimation was greater in the horizontal than in the vertical direction. The reliability was low, with biases that were clinically insignificant, but the 95% limits of agreement were around +/- 2%. The behavior of the test was similar in both groups of subjects.
CONCLUSIONS. The reliability of the AI is only moderate, and professionals are therefore warned to use the results of this test with caution.

Item Type:Article
Additional Information:

Es un preprint del artículo publicado.
El artículo se encuentra en libre acceso en la web del editor.

Uncontrolled Keywords:Clinical- significance; Anisometropia; Management
Subjects:Medical sciences > Optics > Optometry
Medical sciences > Optics > Physiological optics
Medical sciences > Optics > Geometrical and instumental optics
ID Code:34250
Deposited On:15 Dec 2015 15:39
Last Modified:15 Dec 2015 15:39

Origin of downloads

Repository Staff Only: item control page