of the controlled class is 76 while the lowest score is 36. The median score is 52.00 and the mode score is 40. The table of frequency distribution from the data
is presented as follows:
Table 4.6 Table of Frequency Distribution of Pretest Result of Controlled Class
Controlled
Frequency Percent
Valid Percent Cumulative
Percent Valid
36 1
2.6 2.6
2.6 40
6 15.8
15.8 18.4
44 5
13.2 13.2
31.6 48
5 13.2
13.2 44.7
52 5
13.2 13.2
57.9 56
4 10.5
10.5 68.4
60 4
10.5 10.5
78.9 64
3 7.9
7.9 86.8
68 3
7.9 7.9
94.7 72
1 2.6
2.6 97.4
76 1
2.6 2.6
100.0 Total
38 100.0
100.0
The diagram from the data of the controlled class is presented as follows:
Picture 4.2 Diagram of Pretest Result of Controlled Class
1 2
3 4
5 6
36 40
44 48
52 56
60 64
68 72
76
2. Result of Posttest of Experimental and Controlled Class
The result of posttest of experimental and controlled class based on SPSS version 22 was gained from the steps as follows: Analyze
→ Descriptive Statistics → Frequencies. Insert Experimental X in variable → Click Statistics and
Checklist Mean, Median, Mode, Sum, Std. deviation, Variance, Minimum and Maximum → Continue → OK. Result gained from the pretest in class X.5 as the
experimental class of the research is presented in Table 4.7 below:
Table 4.7 Table of Data Description of Posttest Result of Experimental Class
Statistics
Experimental N
Valid 38
Missing Mean
68.74 Median
68.00 Mode
68 Std. Deviation
10.474 Variance
109.713 Minimum
48 Maximum
88 Sum
2612
Table 4.7 shows that the posttest data of the experimental class is 38 students with the sum score of the posttest 2612. Mean score from the
experimental class is 68.74, the variance score is 109.713, and the standard deviation is 10.474.The highest score of the experimental class is 88 while the
lowest score is 48. The median score is 68.00 and the mode score is 68. The table of frequency distribution from the data is presented as follows:
Table 4.8 Table of Frequency Distribution of Posttest Result of Experimental Class
Experimental
Frequency Percent
Valid Percent Cumulative
Percent Valid
48 1
2.6 2.6
2.6 52
4 10.5
10.5 13.2
56 1
2.6 2.6
15.8 60
4 10.5
10.5 26.3
64 3
7.9 7.9
34.2 68
9 23.7
23.7 57.9
72 5
13.2 13.2
71.1 76
2 5.3
5.3 76.3
80 4
10.5 10.5
86.8 84
4 10.5
10.5 97.4
88 1
2.6 2.6
100.0 Total
38 100.0
100.0
Beside the table of the frequency distribution, it also can be described by a diagram which is presented as follows:
Picture 4.3 Diagram of Posttest Result of Experimental Class
In analyzing the result of posttest has the same steps except the inserted variable is not the experimental X but the controlled Y. Result gained from the
2 4
6 8
10
48 52
56 60
64 68
72 76
80 84
88
posttest in class X.6 as the controlled class of the research is presented in Table 4.9 below:
Table 4.9 Table of Data Description of Posttest Result of Controlled Class
Statistics
Controlled N
Valid 38
Missing Mean
60.95 Median
60.00 Mode
60 Std. Deviation
9.180 Variance
84.267 Minimum
40 Maximum
88 Sum
2316
Table 4.9 shows that the posttest data of the controlled class is 38 students with the sum score of the posttest 2316. Mean score from the controlled class is
60.95, the variance score is 84.267, and the standard deviation is 9.180. The highest score of the controlled class is 88 while the lowest score is 40. The median
score is 60.00 and the mode score is 60. The table of frequency distribution from the data is presented as follows:
Table 4.10 Table of Frequency Distribution of Posttest Result of Controlled Class
Controlled
Frequency Percent
Valid Percent Cumulative
Percent Valid
40 1
2.6 2.6
2.6 48
3 7.9
7.9 10.5
52 4
10.5 10.5
21.1 56
6 15.8
15.8 36.8
60 7
18.4 18.4
55.3 64
7 18.4
18.4 73.7
68 6
15.8 15.8
89.5
Frequency Percent
Valid Percent Cumulative
Percent 72
80 2
1 5.3
2.6 5.3
2.6 94.7
97.4 88
1 2.6
2.6 100.0
Total 38
100.0 100.0
Beside the table of the frequency distribution, it also can be described by a diagram which is presented as follows:
Picture 4.4 Diagram of Posttest Result of Controlled Class
In addition, in analyzing the data, the experimental class and the controlled class were compared to one another. It was done in order to prove statistically
whether there is any significant difference between the two classes. There were two things needed to analyze before calculating statistical hypothesis; test of
normality and homogeneity. After getting the data which are the results of the students
’ reading comprehension of both classes, then the data were analyzed by using statistic calculation of the test formula.
3. Normality Test
The normality test was performed by using Kolmogorov-Smirnnov and Shapiro-Wilk. The test was done to determine if the distribution of the data from
the sample is normal or not. Thus, SPSS version 22 was used. If the normality is more than the level of significance
α 0.05, the test is normally distributed. The
1 2
3 4
5 6
7
40 48
52 56
60 64
68 72
80 88
