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Further, from the observation of Assumption#4- Equality of variances
Histograms of readiness scores of male (Non parametric)
and female participants it is clear that For testing this assumption, Non
the density of distribution is located parametric levene’s test for equal
more at the right side of both the graphs variance was used. In non-parametric
along with the tail skewed negatively. levene’s test, absolute deviation of
Therefore, it is clear that scores of rank of each score from average
dependent variables at both the groups rank of group is calculated and then f
of dependent variables are negatively value is obtained applying ANOVA on
skewed in the same manner.
distribution of these deviations. If this
F value is not significant at the decided
level of significance, it is assumed that
assumption of equality of variances is
satisfied.
Table-4: ANOVA to check the assumption of equality of variances
(Non-parametric) on the basis of Gender

Criterion Variable: Readiness towards Blended Learning Approach

Sum of Squares df Mean F Sig.
Square
Between Groups 189.179 1 189.179 .038 .845
Within Groups 2428492.766 488 4976.420
Total 2428681.945 489 100

Table-4 shows that the F- value of significant at 0.05 level of significance.
ANOVA test is 0.038 whose probability The null hypothesis “the readiness
of significance (df=1, 488) is 0.845 scores of male and female participants
which is greater than 0.05, hence not towards a blended learning approach

Indian Journal of Educational Technology 63
Volume 3, Issue 2, July 2021