The suitability of the data for structure detection, respectively the appropriateness of the factor analysis is tested by Kaiser-Meyer-Olkin (KMO) index, and Bartlett's Test
Secondly, Bartlett's test
of sphericity is employed to test whether correlation matrix is an identity matrix.
###KMO and Bartlett's Test
for Quality Management Factors Model
Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's Test
of Sphericity were performed which confirms the appropriateness of the sample data, where sample adequacy (.919) is above the cut off and the p-value is less than .001 for sphericity.
In this study, Kaiser-Meyer-Olkin (KMO) value was found to be 0.660 and Bartlett's test
was determined as [X.sup.2]=5888.904 and p=0.000.
Factorability was also tested using the Bartlett's test
Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (KMO) and Bartlett's test
of sphericity were used to investigate the adequacy of the sample size.
and KMO value used to check the factor analysis appropriateness.
When the correlations were verified with Bartlett's test
of Sphericity for the biometric traits, the results were significant (P<0.01, Chi-square value 182.865) which was supportive for the rationality of the factor analysis of the data as indicated in Table-4.
* Correlation Matrix, Kaiser-Meyer-Olkin (KMO) Measure and Bartlett's Test
Descriptive statistics, Reliability, KMO and Bartlett's test
, factor loading, correlation regression performed on the data for inferences.
Two tests, the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) and Bartlett's Test
of Sphericity, were run to determine the appropriateness of including factor analysis in this research.