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To test this assumption, a second order confirmatory factor model was estimated.
Results of the first order confirmatory factor analysis reveal that all WHOQOL-OLD facets are represented by sufficient significant standardized loadings above 0.5 on the associated items.
The construct validity of the WHOQOL-OLD was assessed by means of a first order and second order confirmatory factor analysis.
The construct validity of the six-facet model of the WHOQOL-OLD was supported by the first order confirmatory factor analysis for the six facets model but not by the second order model for the WHOQOL-OLD total scale.
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The results were validated by employing higher-order Confirmatory Factor Analysis to determine the final PNC and CPTED measurement models.
The psychometric properties were explored with an index of item objective congruence (IOC), Pearson correlation, second-order confirmatory factor analysis and Cronbach's alpha coefficient to estimate the quantitative data.
Table 4 Construct validity of the second-order confirmatory model Environmental Social Economic Environmental .76Social.88.73 Economic.65.62.69 Diagonal entries show the AVE by the construct and off-diagonal entries represent the variance shared (squared correlation) between constructs.
The first-order confirmatory factorial analysis indicated that the CPCI scales were homogeneous conceptually.
Second-order confirmatory factorial analysis provides support for the five composite scales described in the test manual.
In this study, we use second-order confirmatory factor analysis in structural equation modeling to test the appropriateness and authenticity of the established factors structural models.
However, by means of a second-order confirmatory factor analysis, evidence was found supporting that these two factors belong to a more general construct.
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