Unknown

Dataset Information

Factor structure of the convergence insufficiency symptom survey questionnaire.


ABSTRACT: 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

SUBMITTER: Nunes AF 

PROVIDER: S-EPMC7039507 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature