from this test. So, the final post-test used in this research consisted 25 multiple choice questions.
F. Technique of Data Analysis
1. Questionnaire The writer used statistical analysis to analysed the data in this research.
Firstly, the writer determined the scale of questionnaire used a Likert scale. The questionnaires were divided into two parts; the positive and negative statements.
Second, the writer analysed the result of the questionnaire and gave the frequency for each questionnaires. Next, the writer compared the score of questionnaire
between pre-questionnaire and post-questionnaire in the treatment and controlled class. The last, the writer decided the maximum, minimum, median, quartile I, and
quartile III. After that, the writer interpreted the score of questionnaire with this category Table 3.5.
7
Table 3.7 Interpretation Score of Questionnaire
Categories Interpretation
Quartile III Score Maximum Success
Median Score Quartile III Success enough
Quartile I Score Median Less success
Minimum Score Quartile I Unsuccess
2. Reading Comprehension test The writer compared the score of pre-test and post-test in the treatment
and controlled class. After that, the writer analyzed the gained score between the pre-test and post-test. Before analyzing the hypothesis, the writer had to analyze
the normality of the data. This analysis is used to see whether the data got in the
7
http:graphics8.nytimes.compackagespdfnational13apply_questionnaire.pdf It was
accessed on 23rd December 2013
research normally distributed or not.
8
The writer used the Lyllifors formula to test the normality.
Next, the writer used T-test formula to calculate the data. It is because the writer wanted to find out the degree of significant different between the growth
score of pre-test and post-test from both classes also between the achievement in experiment class and control class. The purpose of this calculation is to find out
whether the English teens magazine is effective towards students’ reading interest
as the cognitive aspect. Two classes were compared, the experiment class was X variable and the controlled class was Y variable.
The formula of T-test was expressed as follows:
9
M
1
= Mean of Variable X M
2
= Mean of variable Y SE = Standard Error
In order to get the calculation of T-test, there are several steps to be taken, they are as follows:
1. Determining Mean of variable X, with formula:
∑
2. Determining Mean of variable Y, with formula:
∑
3. Determining Standard of Deviation Score of Variable X, with formula:
√∑
8
Budi Susetyo, Statistika Untuk Analisis Data Penelitian, Bandung: PT Refika Aditama, 2010, p. 148.
9
Anas Sudijono, Pengantar Statistik Pendidikan, Jakarta: PT. Raja Grafindo Persada, 2006, p. 314.
4. Determining Standard of Deviation Score of Variable Y, with formula:
√∑
5. Determining Standard Error Mean of Variable X, with formula:
√
6. Determining Standard Error Mean of Variable Y, with formula:
√
7. Determining Standard Error of different Mean of Variable X and Mean of Variable Y, with formula:
√
8. Determining t
o
with formula:
9. Determining Degrees of Freedom df, with formula:
G. Statistical hypotheses
The statistical hypothesis of this research can be seen as: Ho
: There is no significant progress in using Teens Magazine to improve the students’ reading interest
Ha : There is a significant progress in using Teens Magazine to improve
the students’ reading interest. Ho :
µ
1
=
µ
2
H
a
:
µ
1
≠
µ
2
And then, the criteria used as follows: 1. If t-test t
o
t-table t
t
in significant degree of 0.05, Ho null hypothesis is rejected. It means that the rates of mean score of the
experimental group are higher than the controlled group. The using of English teens magazine is effective towards
students’ reading interest. 2. If t-test t
o
t-table t
t
in significant degree of 0.05, Ho the null hypothesis is accepted. It means that the rates of the means score of the
experimental group are same as or lower than the controlled group. The using of English teens magazine is not effective towards student
s’ reading interest.
Kategori