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There has been considerable criticism over the individual use of factor extraction methods.
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In accord with prior psychometric research with clinical populations (e.g., Chou and O'Rourke 2012), the likelihood method of factor extraction with varimax rotation was used.
Parallel analysis, Kaiser's criterion and the scree test were used for factor extraction.
The prominent common viewpoints, known as factors, were extracted using centroid factor extraction and varimax rotation.
A principle components extraction method with Varimax rotation was used, restricting factor extraction to an Eigenvalue greater than one.
Exploratory factor analyses (EFA) were used to test the psychometric properties of the questionnaire and included the following steps: assessment of the factorality of the data, factor extraction by Principal Component Analysis (PCA), oblimin (oblique) factor rotation, and interpretation.
An eigenvalue of 1 was used as a criterion for factor extraction.
We then conducted the factor analysis on the tetrachoric correlation matrix using principal axis factoring extraction with oblique factor rotation, and determined the number of factors to be retained using the scree test [ 25].
It was shortened by exploratory factor analysis, using principal-axis factoring extraction with Varimax rotation.
Construct validity of VES-13 was also explored with exploratory factor analysis, with factor extraction using principal components; and the model described for VES-13 revealed the appropriateness of the one factor solution and the unidimensionality hypothesis.
An unweighted least squares factor analysis (ULS) was the method for factor extraction used in our exploratory factor analysis (EFA) in view of its robustness to failure of normality and heteroscedasticity of the data.
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