Table 4.14 KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .896
Bartlett's Test of Sphericity Approx. Chi-Square 4.120E3 df 528 Sig. .000
Bartlett's test of sphericity indicates whether the correlation matrix is an identity matrix, which would indicate that the variables are unrelated. The significance level gives the result of the test. Very small values (less than .05) indicate that there are probably significant relationships among the variables. A value higher than about .10 or so may indicate that this data are not suitable for factor analysis. Hence, the researcher concludes the data is suitable for factor analysis since Kaiser-Meyer-Olkin Measure of Sampling Adequacy value is .896. …show more content…
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 27