calculation of the second pilot test showed that from 40 questions, there were 30 questions are valid and 10 questions were invalid
b. Reliability
According to Arifin, reliability is a scale to calculate the instrument consistency.
13
A test is reliable if it provides consistent and stable result.
14
Therefore, it is important to test the reliability of the instrument to see whether the instrument produces consistent result.
Just like testing the validity of the instrumen t, “ANATEST” software
version 4.0.9 which developed by Drs. Karno To, M.Pd and Yudi Wibisosno, ST. was used by the writer to test the validity of the
instrument was also used to test the reliability of the instrument. According to Sudijono, there are some criterions for considering the
item to be reliable;
If the is 0,70 or more, than the test is categorized into high
reliability If the
less than 0,70, than the test is less reliable or unreliable.
15
Based on the criterion of reliability above, it turned out that the first pilot test got 0,77 score of reliability, and the second pilot test got
0,79 score of reliability. It means the both item of the test were reliable and categorized into high reliability.
2. Trustworthiness of the Research
Analyzing the normality and homogeneity of the data was done before measuring the hypothesis in order to prove that the research is trustworthy.
13
Ibid., p. 258
14
Anas Sudijono, Pengantar Evaluasi Pendidikan, Jakarta: PT Raja Grafindo Persada, 2011, p. 95.
15
Ibid., p. 209.
a. Normality Test
Calculating the normality is important to know whether or not the data has been normally distributed. SPSS software version 22 was used
by the writer to calculate the normality of the data. There are two kinds of testing the normality in SPSS; Kolmogrov Smirnov and Shapiro
Wilk. The test was established by looking at certain criterion as follows:
“If respondents ≥ 50, the Kolmogrov Smirnov normality test is used.” “If respondents ≤ 50, the Shapiro Wilk normality test is used.”
The respondents of this study were 41 students in each class, therefore the Shapiro Wilk test was used to calculate the normality of
the data. The result of normality can be seen by comparing the significant score to α 0,05.
The criterion of hypothesis: : Significant Score 0.05
: Significant Score 0.05
b. Homogeneity Test
As the normality of the data had been obtained, the writer continued the analysis to the next step; which was testing the
homogeneity of the data. The homogeneity test was used to see whether the data in both classes were homogeneous or heterogeneous.
Based on Levene Statistical in SPSS, the significant score that can be categorized as homogeneous should be higher than 0.05.
3. Statistical Analysis
To see the effectiveness of SQ3R method on students‟ reading
comprehension, the statistical analysis with t-test formula was used to determine the final calculation; it was to measure the significance of post-
