3.4 Procedure of Collecting Data
To collect the data, there are five procedural steps applied. They are as follow:
3.4.1 Watching the Film
The very basic step in analyzing a film is watching. I watch the film for several times in order to get deeper ideas which are related to the topic and to understand
the whole content of the film clearly. I ripped the utterances and act the characters in the film by pushing play and pause button.
3.4.2 Identifying
The word identifying means the activity of separating between data and non-data by marking, underlying, and bracketing from both of dialogue and narrator which
are related to the problems stated and then numbering them. Since I cannot find the script of the film from the internet, I try to write down the dialogue after
watching the film and then identify it. Let us see examples of data below: Grandma Josephine: Every one has chance Datum 6
Grandpa Joe : Don’t worry Brother Charlie, that man spoils his
daughter. And no good ever comes who is spoiling child like that Datum 11
The above data are number 6 and 11. They represent the identified data for the problem. The rest of the data can be found in appendix A.
3.4.3 Inventorying
The word of inventorying means to list all the identified data and put them into a table. The table contents number of data, types of data, quotation, location,
explanation, and answering question number. It will be presented as below:
Location Datum
Types of Data
Quotation Page Disc Minute
Explanation Answer
Question Number
.
3.4.4 Classifying
In order to find qualified data, there is a certain technique which is usually used in classifying the data, a relevancy technique. It means that only relevant data will be
selected to answer the problem. The classified data will be put in the table of appendix B1, B2, and B3.
3.4.5 Reporting the Data
After selecting, the data are then reported in the appendices. If the readers want to see the collected data, they can see Appendix A, if they want to see some
identified data to answer problem, they can just see Appendix B1, B2 and B3.
3.5 Technique of Data Analysis
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