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This assumption holds whether the Assumption#4 Equality of variances
distribution of scores of dependent (Non parametric)
variables for all the groups of For testing this assumption non
independent variables (Teacher parametric levene’s test for equal
Educators, Research Scholars and Pupil variance was used. The results of
Teachers) have the same shape. For ANOVA related to this assumption are
testing it, graphical representation was presented in the following table-10.
used and Uniformity found.
Table-9: Tests of Normality for Readiness Scores of teacher educators,
research scholars and pupil teachers towards blended learning approach

Criterion Variable: Readiness towards blended learning approach

Sum of Squares Df Mean Square F Sig.
Between 1927.727 2 963.863 .194 .823
Groups
Within Groups 2416070.186 487 4961.130
Total 2417997.913 489

Table-10 shows that the F- value of Assumption#5 Assumption of sample
ANOVA test is 0.194 whose probability of size
significance (df=2, 487) is 0.823 which is This assumption holds that sample size
greater than 0.05, hence not significant should not be less than four in all the
at 0.05 level of significance. Hence, the three groups of IV. In the present study,
null hypothesis “The readiness scores sample size is more than 4 in each
of teacher educators, research scholars group of IV. Hence, the fifth assumption
and pupil teachers’ participants towards of Kruskal Wallis H Test is also fulfilled.
blended learning approach do not After testing and fulfilling all the
differ significantly from non-parametric statistical assumptions related to
variance. is not rejected. Therefore, it Kruskal Wallis H Test, the data related to
can be concluded that the assumption of the second objective were analysed with
equality of variances (Non-Parametric), the help of Kruskal Wallis H Test. The
is satisfied.
results are presented below through
fig-4.

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