Classifying Data Reducing Data

19 appear on the same line, they would be explained in the last column of the table that is ‘explanation column’. After all the data were identified; finally, he got the final result of his data collection activity from both the script and the video. The data are called inventorized data that can be seen in Appendix A. Through the inventorization, there were 46 data found in Brokeback Mountain film. The example of the result of the procedures can be seen on the table below: Table 3.4.1 Result of Data Inventorization Script Video Found in Data no. Form of the data Pg Ch p Lin e Data no. Form of the data Duration Minute And Minute Ab out Ans w ering ques ti o n n o. ex planat ion 32a. Dialogue 82 9 35 - - 01.36.29- 01.36.39 Homo phobia 3 Support no.19a 33a. Dialogue 83 9 49 33b. Gesture 01.37.55- 01.38.00 Homo sexuality 3 Similar to no.7b - - - - - 34b. Gesture 01.38.57- 01.39.03 Homo sexuality 1,2 Similar to no.5b And so on If we pay attention to the 4th column of Appendix A, it can be seen that each datum did not always answer all of the research questions. Accordingly, the overall data should be classified in order to facilitate the writer in finding the supporting data for each question.

3.4.4 Classifying Data

In this step the overall data were classified based on the research problems. The result of data classification could be seen as follows: 20 Table 3.4.2 Data Classification No. Statements of the problem Supporting Data Total 1. Is there any problem of sexual disorientation found in the film? 2b,3b,4a,5b,10a,11b,13a,14a,15a, 16a,17a,29a,30a,34b,37a,38a,39a, 40b,41a 19 2. What is the type of the sexual disorientation described in the film? 1a,2b,3b,4a,5b,6a, 8b,9b, 10a,11b, 13a,14a,15a,16a,17a, 28a,29a,30a, 34b,37a,38a,39a,40b,41a 24 3. What are the effects of sexual disorientation towards the life of the main characters in the film? 3b,4a,7b,12b,18b,19a,20a,21a, 21b,22a,22b,23a,24b,25a,26a,27a, 27b,29a,30a,31a,32a,33a,33b,35a, 35b,36a,40b 27 From the list of classified data above, there were 19 data supporting the first problem, 24 data supporting the second problem, and 27 data supporting the third problem. All of the data for question number one would be analyzed straight away since this data did not require detailed analysis. However, for questions number two and three, reducing the number of data was necessary to be conducted because the data were qualitative and needed detailed description in analysis. Moreover, some of them were similar and repetitious.

3.4.5 Reducing Data

As the writer stated above, reducing the number of data was necessary to be conducted . However, based on the fact that the last column of Appendix A explained the relationship or relevancy of each data to another, the data for 21 question number one were not reduced as all of them were used for the analysis. Thus, reduction is applied only for questions number two and three by taking 30 of the classified data. The result of the reducing step would be demonstrated in the following table: Table 3.4.3 Simplified Data Question number Simplified Data Total 1 19 x 100 19 2 24 x 30 7 3 27 x 30 9 The data for question number one were ready to be analyzed. However, for questions number two and three, selection process must be done. For question number two, 7 from 24 data were needed to be selected, and for question number three, 9 from 27 data were also needed to be selected.

3.4.6 Selecting Data