Classifying Data Reducing Selecting

30 If we pay attention to this column, it gives information that since each datum did not always answer all the research questions, the overall data should be classified to help the writer find the supporting data for each research question easily. This step was called classifying data which would be explained in the following sub-chapter.

3.4.6 Classifying Data

In this step, the overall data were classified based on the research problems. The data classification gives information that could be seen as follows. Table 3.2 Data Classification No. Statements of the problem 3 Supporting Data Total 1. How are the vigilant actions shown in The Punisher movie? 5b, 7b, 8b, 10b, 15b, 16b, 17b, 19b, 20b, 21a, 21b, 22b, 23a, 23b,24b, 25b, 26b, 27b, 28b, 29b, 30b, 31b, 32b, 33b, 34a, 34b, 35b, 38a, 38b, 39a 30 2. What are the reasons for the main character to do the vigilant actions in The Punisher movie? 1b, 2b, 3b, 4a, 6a, 9a, 11b, 12a, 13a, 14a, 18a, 21a, 21b, 23a, 23b, 36b, 37a, 17 31 3. What should the main character do to get justice instead of doing the vigilant actions in The Punisher movie? 1b, 6a, 8b, 40a, 41b, 42b, 43b 7 From the list of classified data above, the writer could see that sometimes a datum answered more than one question. Since not all data were manageable to be analysed, the process of reducing was considered to be necessary.

3.4.7 Reducing

There are many techniques of how to reduce the data; but this research would reduce the classified data into 32. This was done because it will take much time if the writer has to explain all of the data. Because of that, the data for question number one, two, and three, the supported data were reduced by only taking 17, 30, and 70 of the classified data since there were too many revealed data with the same context. It needed more time and energy to analyse when it was not reduced. So to make it analysable, the writer reduced it until 32. The result of the reducing step would be demonstrated in the following table: Table 3.3 Simplified Data Question number Simplified Data Total 1 30 x 17 5 2 17 x 30 5 3 7 x 70 5 32 To begin the research, for all questions, from problem one, two, and three; 5 from 30, 5 from 17, and 5 from 7; the data have to be selected. The next thing to do was selecting the data for all questions.

3.4.8 Selecting

In selecting the data, the techniques that would be applied were maintaining the most relevant data, omitting less relevant data, and omitting repetitive data. Finally, the data that had already gone through selecting process were bolded to facilitate the identification of the selected data. The result of this procedure could be seen in the following table. Table 3.4. Data Selection for analysis Question number Classified Data 4 Selected Data Total 1 5b, 7b, 8b, 10b, 15b, 16b, 17b, 19b, 20b, 21a, 21b, 22b, 23a, 23b, 24b, 25b, 26b, 27b, 28b, 29b, 30b, 31b, 32b, 33b, 34a, 34b, 35b, 38a, 38b, 39ª 5b, 21a, 23a, 24b, 34a 5 2 1b, 2b, 3b, 4a, 6a, 9a, 11b, 12a, 13a, 14a, 18a, 21a, 21b, 23a, 23b, 36b, 37ª 3b, 4a, 13a, 18a, 36b 5 3 1b, 6a, 8b, 40a, 41b, 42b, 43b 1b, 6a, 8b, 40a, 42b 5 Finally, the selected data displayed on the third column were ready to be analysed. The overall procedures above needed to be reported through several appendices. 33

3.4.9 Reporting