Techniques of Data Collection Techniques of Data Analysis

32 of the data, the process of collecting the data, analyzing the data, interpreting the data, and making the conclusion. Furthermore, to support data analysis, the researcher also used a secondary instrument. The secondary instrument was a data sheet which was used to collect the data from the dialogues of Money Ball. C. Form, Context and Source of Data According to Bogdan and Taylor in Moleong 2001: 3 qualitative research is a research which produces descriptive data including written and spoken words and behavior. The data of this research were in the form of words and phrases which were taken from the film Money Ball. The context of the data was the dialoguesconversations performed by the characters in the movie. The data were taken from the movie, entitled Money Ball. According to Denscombe 2007: 289, the data of qualitative research can be taken from fieldwork notes, interview transcript, texts, photographs, etc. The source of the data was taken from the transcript of the film. The transcript was taken from http:www.springfieldspringfield.co.ukmovie_script.php?movie=MoneyBall

D. Techniques of Data Collection

Vanderstoep and Johnston 2009: 189 state that there are several techniques in collecting data, such as interview, ethnographic observation, analysis of documents, and visual analysis. The steps of collecting the data were: 1. watching the film Money Ball as the primary source of data, 2. retrieving the script as the secondary source of data from www.springfieldspringfield.co.ukmovie_script.php?movie=Money Bal 33 3. checking the accuracy between the film and the script, 4. re-watching the film to find the relevant data, 5. collecting the data which reflected sport jargon, and 6. classifying the data which were in accordance with the objectives of this study into the data sheet.

E. Techniques of Data Analysis

Steinbeck in Sugiyono 2012: 244 states that data analysis is an an important aspect to the qualitative research process. It is a recognition, study and understanding of the research concept. In a qualitative research, the data can be obtained from various sources. The data are arranged systematically. Bogdan in Sugiyono 2012: 244 states that data analysis is the process of systematically searching and arranging accumulated data to increase the researcher‟s understanding. The steps of the data analysis were mentioned in the following. 1. First, the researcher collected the data. After that, the collected data would be transferred systematically into a categorization process which was drawn to a table. The table was used to categorize the word formation processes and the functions of jargon. The format of the data sheet was illustrated in the table below. 34 Table 1. The example of Data Sheet ofA Sociolinguistics Analysis of Baseball Jargon in Money Ball Movie No Code Dialogue Functions Word Formation Processes Explanation F1 F2 Co Br Com Bl Cl- El Bf Con Acr Der M P 1 JM1F1 Con Announcer : He had four hits in the series opener.   The word hit is used as noun in this sentence. Four hits means four time successful of hitting ball. Note: F1 : It is the function of jargon as a technical or specialist language for precise and economical communication. F2 : It is the function of jargon which is used to promote in- group solidarity and to exclude out-groupers those who do not use jargon. JM : Jargon in Money Ball Co : Coinage Br : Borrowing Com : Compounding Bl : Blending Cl-El : Clipping and Ellipsis Bf : Backformation Con : Conversion Acr : Acronym Der : Derivation MP : Multiple Processes 2. Second, the data were classified in the data sheet based on the classification of the two objectives of the study through the characters dialogues in the film transcript. 35 3. Third, jargons which were uttered by the characters in the film were described in order to answer the formulation of the problem. 4. Fourth, the trustworthiness of the data was checked during the process of data analysis. 5. Finally, the conclusion of the research was made based on the result of the research.

F. Data Trustworthiness