a. Normality Test
Normality test was conducted to see whether the data of the result study were normally distributed or not. It was done towards the initial
self-confidence test Pre-Test, the final self-confidence test Post-Test, the initial learning independence test Pre-Test, and the final learning
independence Post-Test. It was done by employing Kosmogorov- Smirnov.
The summary of the result of this test was presented in the following table.
Table 48. The Summary of the Result of Normality of Self-Confidence Test
Data Source p-value
Alpha 5 Conclusion
Experimental Class Pre-Test
0.708 0.05
Normal Experimental Class
Post-Test 0.867
0.05 Normal
Control Class Pre-Test 0.751
0.05 Normal
Control Class Post-Test 0.594
0.05 Normal
Table 49. The Summary of the Result of Normality of Learning Independence Test
Data Source p-value
Alpha 5 Conclusion
Experimental Class Pre-Test
0.553 0.05
Normal Experimental Class
Post-Test 0.793
0.05 Normal
Control Class Pre-Test 0.772
0.05 Normal
Control Class Post-Test 0.441
0.05 Normal
Based on the calculation result of self-confidence, it was obtained p-value
for Pre-Test score of experimental class was 0.708 and control class was 0.751. P-value for Post-test of experimental class was 0.867
and control class was 0.594. P-value for the calculation of Pre-Test and Post-Test score of experimental and control class was p that were more
than 5 0.05 then it could be concluded that Pre-Test and Post-Test score of experimental and control class was normally distributed.
Moreover, based on the calculation result of learning independence, it was obtained p-value for Pre-Test of experimental class was 0.553 and
control class was 0.772. P-value for Post-Test score of experimental class was 0.793 and control class was 0.441. P-value for the calculation
of Pre-Test and Post-Test score of experimental and control class was p that were more than 5 0.05 then it could be concluded that Pre-Test
and Post-Test score of experimental and control class was normally distributed.
b. Homogenity Test
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