Table 2.
Reliability testing
1st method
k/k – 1
1.011235955
Sum_Variance
53.52173913
Variance_Total
885.1748792
Cronbach's alpha = (k/k − 1)
(1 − sum variance/ variance total)
0.950091984
2nd method (ANOVA TABLE)
Cronbach’s alpha = 1 − (mean square error/mean square rows)
0.952168534
Interpretation: excellent data consistency
1st method
k/k – 1
1.011235955
Sum_Variance
53.52173913
Variance_Total
885.1748792
Cronbach's alpha = (k/k − 1)
(1 − sum variance/ variance total)
0.950091984
2nd method (ANOVA TABLE)
Cronbach’s alpha = 1 − (mean square error/mean square rows)
0.952168534
Interpretation: excellent data consistency
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