Based on the findings the adequacy of the model is confirmed for each of the dimensions and for Bartlett's test
Exploratory factor analysis was done on the employer attractiveness variables and the results of communalities table, KMO Value, Bartlett's Test
of Sphericity, factor loading were checked.
The suitability for factor analysis is tested using two analysis namely KMO test and Bartlett's test
3 100 Table 3: KMO & Bartlett's Test
of Sphercity Kaiser-Meyer-Olkin .
of KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
The KMO and the Bartlett's test
of sphericity were found to be significant amongst both the respondent groups (KMO value = 0.
Also check for the factor analysis to identify the structure (factor model) is appropriate, Bartlett's test
50 (See Tables 2 & 3), and Bartlett's Test
of Sphericity was statistically significant at p< 0.
60) and Bartlett's Test
of Sphericity was significant (Table 2).
Factor analysis was redone according to the indexes presented, with the results of the Kaiser-Meyer-Olkin test and Bartlett's test
Table 2: KMO and Bartlett's Test
and Table 3: Factor loadings after rotation: Component Matrix) to a more manageable number, prior to using them in other analyses such as multiple regression or multivariate analysis of variance (MANOVA) [Fidell (2009)].
A different type of test, the Bartlett's test
, which compares the weighted arithmetic average of the sample variances to the weighted geometric average of the sample variances also can be used, but is not robust to violations of normality.