From the validity and reliability test, there were 25 significant questions of 40 questions. The writer then chose 20 questions based on some consideration to be
tested in experimental and control class as pretest and posttest.
E. Technique of Collecting Data
In order to get the data, the writer used tests and questionnaire as the technique of collecting data. The tests were divided into pretest and posttest.
Pretest was provided by the writer to find out students’ achievement in reading
narrative text before the research was conducted. The writer gave the treatment to one class and gave no treatment to another class. Then after four meetings of
treatment, the writer gave the posttest to both the classes. Posttest was performed to measure the acquisition of learning outcomes by the end of the treatment.
Afterward, the results of both the classes were compared by the writer. The questionnaire was conducted to gain the information about learning
narrative text using mind mapping technique in various aspects. There were 10 questions that were asked to the students about learning narrative text before and
after using mind mapping technique.
F. Technique of Data Analysis
Data analysis was the last procedure of the quasi experimental design used by the writer. In order to obtain the result of this study, the data was analyzed
using statistical analysis. The data on the pretest and posttest were collected, and analyzed with the SPSS 15.0 for Windows Evaluation Version program. To find
the final result of this study, several tests should be passed, such as normality test, homogeneity test, and hypothesis testing.
The purpose of normality test was to make sure that the data were normally distributed. The population of this study could be said as normal population
because they have received narrative text material at the first grade. And when the writer distributed a test about narrative text, they could pass it and succeed to
understand the test and answer the questions. Normality test is done with requirement as follows: If the significance score 0.05, so the data is come from
the normal population, but if it is not fulfilled this requirement, so the data is not come from normal population. Normality test is formulated as follows:
Where:
= normality = data from every sample
= deviation standard = mean
15
After that the homogeneity test was done in order to find out the similarity between experimental class and control class with the requirement as follows: If
the significance score 0.05, so the data is similar, but if it is not fulfilled this requirement, so the data is not similar. To know the homogeneity of the data, the
following formula is used:
Where:
= variance of sample = data from every sample
= mean = number of population
16
After the homogeneity test was done, the writer used T-test formula as a technique to draw conclusion from the data obtained during this study. T-test was
used to find out whether there were the differences between experimental class and control class that used different method in learning narrative text. Hypothesis
testing is formulated as:
15
Sugiyono, op. cit., p. 77.
16
Ibid., p. 57.
