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The KMO index was.91, underscoring the factorability of the data.
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The final diagnostic check for the suitability of the data for factor analysis was the factorability of R. Low bivariate correlations (< .30) indicate that factor analysis could be inappropriate for the given data.
In addition, the Barlett's Test of Sphericity (Barlett 1954) also reached statistical significance (p = 0.000), supporting the factorability of the correlation matrix.
Values above 0.6 provide sufficient evidence for the factorability of the correlation matrix [9].
These confirmed the factorability of data.
Both supporting the factorability of the correlation matrix.
Finally, the factorability of the 25 items was examined.
The factorability of regulation models corresponds to log-linearity.
Several well-recognised criteria for the factorability of a correlation were used.
The Bartlett's Test of Spehericity (χ = 3969.47, p < 0.001) was statistically significant, supporting the factorability of the correlation matrix.
Bartlett's test of sphericity [ 22] was significant at p < 0.001, supporting the factorability of the correlation matrix.
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