D. Technique of Data Collection
The writer used a non-test and test techniques. Non-test technique was questionnaire and a test of reading comprehension was the test technique.
In answering the questionnaire, the students were asked to put cross X or checklist √. To find the students’ learning style, the writer counted the mean score
of the styles. The data of students’ reading comprehension was collected by giving them a test.
The test consisted of 25 questions. The alternative answer is A, B, C and D. they were
asked to choose the best answer of the options. 1. Questionnaire
In this research, Perceptual Learning Style Preference Survey by Joy M Reid in Understanding Learning Style in the Second Language Classroom was adapted as the
questionnaire. There were four alternatives five items of each learning style indicator. The questionnaire was distributed to the students to get the data of their
learning style preference. The questionnaire was based on characteristic of each learning style visual, auditory and kinesthetic. The questionnaire was written in
Bahasa to avoid misunderstanding and to ease the students in answering the questions. There are four alternatives based on Lickert Scale type. Likert scale is used
to measure attitude, opinion, perception based on the certain object or phenomena.The four points are Strongly Agree SangatSetuju, SS, Agree Setuju, S,
Disagree TidakSetuju, TS, and Strongly Disagree SangatTidakSetuju, STS.
Table 3.1 Questionnaire Item Scoring
Scale Score
Strongly Agree 4
Agree 3
Disagree 2
Strongly Disagree 1
The research used two instruments to get the data. The first data was about students’ learning style. The statement of the questionnaire was set in these ways:
statement number of 1,2,3,4,5,6,7,8,9, and 10were dealing with visual learning style type; statement of 11,12,13, 14, 15, 16,17,18,19, and 20 were dealing with auditory
learning style types; and the statement number of. 21, 22, 23,24,25,26,27,28,29, and 30 were dealing with kinesthetic learning style. Moreover, the data that was gotten
from reading comprehension test was used as the second data for Y variable.
Table 3.2 Learning Style Questionnaire Key Number
No. Indicator
Total Key Number
1. Visual Learning Style
10 1,2,3,4,5,6,7,8,9, 10
2. Auditory Learning Style
10 11,12,13,14,15,16,17,18,19,20
3. Kinesthetic Learning Style
10 21,22,23,24,25,26,27,28,29,30
Total 30
2. Test
To get the data as dependent variable or Y variable, a test was used. The test is reading comprehension test of narrative text. The researcher distributed narrative text
test which had been validated in different school. The testconsists of 25 questionsthat taken from students’ work book LKS for class VII published by CV Arya Duta. It
was multiple choices test. There were four options A, B, C, and D. The writer gives score 4 for the correct answer and 0 for the wrong answer. It means that students will
get 100 score if they answer all questions correctly.
E. Technique of Data Analysis
Before calculating the relationship between students’ learning style and their
reading comprehension of narrative text using Pearson Product Moment Correlation Formula, the writer will conduct the testing requirement analysis; namely normality
and linearity. 1. Normality
Normality test is done to determine a normal distribution of data. The data in this research will be analyzed by SPSS version 22. In SPSS, there are two kinds of
normality test: Kolmogrov Smirnov Test and Shapiro Wilk Test. The criterion of SPSS:
a. If respondents 50, the normality test uses Kolmogrov Smirnov. b. If respondents 50, the normality test used Shapiro Wilk.
Because the respondents of this study were below 50, the normality test used Shapiro Wilk Test.
The variable is: a. A normal data distribution if the value of significance sig 0.05.
b. An abnormal data distribution if the value of significance sig 0.05.
2. Linearity
After computing normality test then the writer did linearity test. Thus, linearity test is used to know the relation between dependent and independent variable. The
variables have linearity based on the testing criteria, as follows:
a. If the value of significance sig 0.05, it means that the variable is linear. b. If the value of significance sig 0.05, it means that the variable is not linear.
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