Factor structure of the convergence insufficiency symptom survey questionnaire

The purpose of this study is to analyze the factorial structure of the Convergence Insufficiency Symptom Survey questionnaire with 15 items, in order to identify latent dimensions that can contribute to a more focused implementation. The questionnaire was self-administered in paper by 183 university...

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Bibliographic Details
Published in:PloS one 2020-02, Vol.15 (2), p.e0229511-e0229511
Main Authors: Nunes, Amélia Fernandes, Monteiro, Pedro Lourenço, Nunes, António Santos
Format: Article
Language:English
Subjects:
Adolescent
Adult
Biology and Life Sciences
Cognitive ability
College students
Confidence
Consistency
Convergence
Diagnosis
Eigenvalues
Factor analysis
Factor Analysis, Statistical
Factorization
Female
Health sciences
Humans
Male
Medicine and Health Sciences
Multivariate statistical analysis
Ocular Motility Disorders - diagnosis
Physical Sciences
Physiological aspects
Polls & surveys
Psychometrics - methods
Questionnaires
Reliability aspects
Reproducibility of Results
Research and Analysis Methods
Rotation
Social Sciences
Statistical analysis
Structure (Literature)
Surveys and Questionnaires - statistics & numerical data
Variables
Vision disorders
Young Adult
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Summary:The purpose of this study is to analyze the factorial structure of the Convergence Insufficiency Symptom Survey questionnaire with 15 items, in order to identify latent dimensions that can contribute to a more focused implementation. The questionnaire was self-administered in paper by 183 university students, in the age span of 18 to 30. Both Kaiser-Meyer-Olkin measure and Bartlett's sphericity test were performed to ensure the validity of the factorization. In order to analyze the principal components, factors which obtained eigenvalues greater than 1 were chosen. The extraction of factors was performed after computing a Promax rotation and a Kaiser criterion. In each extracted factor, the internal consistency was used to prove its reliability. Bartlett's sphericity test was statistically significant (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0229511