procedures in analyzing the data. The procedures to analyze the data were how to analyze the test, how to analyze the field note, and how to analyze the
questionnaire. Those procedures are explained as follows:
3.6.1 How to Analyze the Test
The following steps are taken in order to analyze the test: 1
each students‟ answer is assessed using the rubric of assessment below: Table 3.1 Rubric of Assessment
Score Indicator
1 Correct irregular past form
Incorrect irregular past form
2 the correct items are counted;
3 the final score for each student in every test is counted using the following
formula: Student‟s score
= x 100
After calculating of the students‟ score was done, the mean of score was calculated by using this following formula:
∑
Sugiyono 2012: 49 where,
M = mean
∑x =
the total of students‟ score n
= total number of the students
4 Then calculating the t-test using SPSS. This t-test measures the significant difference between the two set of data that gathered. Statistically, the result
compare between t-value and the t-table. When the t-value higher than t- table, it means that there is significant difference between the two data. On
the other hand, if the t-table higher than the t-value, it means that the data is not significant difference.
3.6.2 How to Analyze the Field Notes
All of the important things in the field note that the researcher noted were ana
lyzed. The field notes were interpreted to find out students‟ participant and attitude during the research. The students‟ participant and attitude were assessed
using scale see appendix 13 and 14.
3.6.3 How to Analyze the Questionnaire
There were some ways in analyzing the students‟ questionnaire answer. They
were explained as follow. 1
the options of the questionnaire were graded using Likert scale as the following:
score 1 for strongly disagree score 2 for disagree
score 3 for neutral, score 4 for agree,
score 5 for strongly agree. Mertler 2011: 218
2 The questionnaire items score were determined using the table below:
Table 3.2 Questionnaire Items Score
Code Questionnaire item
1 2
3 4
... 30
S-01 S-02
… S-36
Total Score
3 calculating the score of each student using the following formula:
S = where,
S = the scores of each student, A = the total answers, and
N = the number of test items. 4
Then calculating the t-test using SPSS. This t-test measures the significant difference between the two set of data that gathered. Statistically, the result
compare between t-value and the t-table. When the t-value higher than t- table, it means that there is significant difference between the two data. On
the other hand, if the t-table higher than the t-value, it means that the data is not significant difference.
3.7 Technique of Reporting Data
