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Principal factor analyses indicated that there was considerable overlap between the new scale and the physical subscales of the SF-36.
Sequential principal factor analyses of the APSA resulted in a subscale which included 20 (APS20) of the original 30 items and two correlated subscales (AP-F1, AP-F2) defined by 9 items each.
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Principal Factors Analyses showed that a factor solution consistent with the two-category classification of preventive measures in the 2002 national guideline only explained 13.1% of the variance of the construct we measured.
Our Principal Factors Analyses therefore have to be regarded as confirmatory, in that they were intended to test whether nurses' knowledge had the same classification as the classification used in the national guideline.
In order to investigate whether the classification of the nurses' answers to PUQ-2003 corresponded to the classification that was expected in terms of the categories of usefulness used in the 2002 national guideline (i.e., useful and not useful), Principal Factors Analyses (PFA) with Varimax rotation was applied to the dichotomized variables.
A Scree plot indicated a flattening of the slope with more than 3 factors, and the subsequent (fixed factor) Principal Component Analyses (data not shown) resulted in a preliminary 27-item 3-factor model, which was then subjected to a final Principal Components analysis.
The following analyses were performed to evaluate the clinimetric quality of the KOOS: Cronbach's alpha (internal consistency), principal component analyses (factor analysis), intraclass correlation coefficients (reliability), spearman's correlation coefficient (construct validity), and floor and ceiling effects.
Next, taxonomies of aggressive and cooperative drivers were developed by the use of principal component factor analyses (PCFA).
Using predictors that were significant in the stepwise regression and hypothesized item-construct relationships from principal components factor analyses, a measurement model nested within a structural model was specified.
Principal components factor analyses were performed using varimax rotation [ 14].
Principal components factor analyses, with varimax rotated and normalised factor loadings, was used to evaluate and interpret SPADI factor structure.
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