2020
DOI: 10.1371/journal.pone.0229511
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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, factor… Show more

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Cited by 21 publications
(20 citation statements)
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“…When the Kaiser-Meyer-Olkin (KMO) value is above 0.50, EFA can be carried out, and the Kaiser-Meyer-Olkin (KMO) value of 0.80 or above is considered to be very suitable for EFA. When the Bartlett Test of Sphericity (BTS) has signi cant statistical signi cance (p < 0.05), it shows that there is su cient correlation among the variables, and EFA can be performed [45]. Then the principal component method was used to extract three potential dimensions, three factors with eigenvalue greater than 1 were obtained, which explained the cumulative variance was 90.84% of the total variance.…”
Section: Discussionmentioning
confidence: 99%
“…When the Kaiser-Meyer-Olkin (KMO) value is above 0.50, EFA can be carried out, and the Kaiser-Meyer-Olkin (KMO) value of 0.80 or above is considered to be very suitable for EFA. When the Bartlett Test of Sphericity (BTS) has signi cant statistical signi cance (p < 0.05), it shows that there is su cient correlation among the variables, and EFA can be performed [45]. Then the principal component method was used to extract three potential dimensions, three factors with eigenvalue greater than 1 were obtained, which explained the cumulative variance was 90.84% of the total variance.…”
Section: Discussionmentioning
confidence: 99%
“…In the current study, the I-CVIs were between 0.83 and 1.00. The S-CVI/UA was found to be 0.63 and the S- [45]. Then the principal component method was used to extract three potential dimensions, three factors with eigenvalue greater than 1 were obtained, which explained the cumulative variance was 90.84% of the total variance.…”
Section: Discussionmentioning
confidence: 99%
“…Second, the sample size was not inadequate since KMO was 0.64, but a larger sample size might strengthen data integrity. [ 25 ] Thirdly, this study was conducted at only a single level of the delivery system of rehabilitation medicine in Korea, that is, the intensive rehabilitation hospitals in the subacute phase. Larger and longitudinal studies are necessary for the precise evaluation of reliability and validity.…”
Section: Discussionmentioning
confidence: 99%