Technique of the Data Collection

Table 10: The Form of Data Sheet for Politeness Principles Applied in the Dispreferred Second Turns by the Main Characters in the Movie The Duchess NO DATA CODE DIALOGUES TYPES OF PP EXPLANATION 1 DC01SC01INT Ext. Gardens. Althorp – Day, Scene 1 Georgiana : LOUDLYYou’d better not let me down, Charles Grey. I’ve got twenty guineas riding on you. 1 st Grey : Only twenty? I’d double that if I were you.2 nd Georgiana : Are you ready gentlemen? Twice around the track. On my count, three… two…one…go Georgiana CONT’D : Come on Grey, come on Tact Maxim This conversation takes place in Georgiana’s house and occurs in informal situation between Georgina and Charles Grey. They have been friend for a long time.Georgina shows her willingness to support Charles Grey to win the run competition. She asks him not to disappoint her. Because she has twenty guineas. The dispreffered second turn is challenge. It used to give an opportunity to Georgiana to get double benefits if Grey win the run competition. Charles grey minimize cost to Georgiana by saying I’d double if I were you. It means he also makes benefit to Georgina. If he double her bet Georgina will get more double benefit. Description: PP : Politeness Principles DC : Data Code SC : Scene INT : Internal EXT : External

D. Technique of the Data Analysis

After the data are being collected, selected, and also reduced, then they were analyzed. Wiersma 1995:216 writes that soon after the data collecting step starts, at the same time, the data analysis also begins. Thus, in this study, right after working on the raw data on the data sheets, the researcher started the analysis. Apart from this the rest of the steps in this research are: 1. Identifying The goal of this step was to make a description about the data by using a preliminary framework. The categorization was an “open coding” in which the process of identifying would keep changing so that the researcher might comprehensively identify and categorize the data based on the data sheets provided.

2. Coding

After identifying the data, the next step was called coding. This was the most difficult step in analyzing data since the researcher had to understand the data completely to gain descriptive details of the data by comparing the theories. In the data, there were many types of adjacency pairs which occured in one scene. However, the researcher only kept the main types of the data showed the appropriate adjacency pairs.

3. Interpreting

After finishing the coding step, the researcher began to interpret the data findings. The analysis of the data was in the form of qualitative approach of which the researcher counted the amount of the types of adjacency pairs and preference organization’s occurrence. Moreover, qualitative approach was used in the third problem formulation. In this reserarch, she directly interpreted the data without counting the frequency.

4. Discussing

After the findings were discovered, the data were discussed based on the theories provided. Then, she also elaborated and explained the findings to support the interpretation . The explanations showed the ranks and the implication of the data in the form of conceptual story line. This kind of discussion was done to the whole data.

5. Concluding

Finally, the researcher concluded the discussion. The researcher provided a tight close explanation while giving some additional points related to the findings. Then, she gave suggestions to the readers and future researchers.

E. Trustworthiness of the Data

The trustworthiness data research can be achieved by conforming four criterias; they are dependability, confirmability, credibility, and transferability Johnstone, 2000:61-62. Dependability means there is no change in final data, which means the data are fixed and the results of the investigation are stable. Confirmability is applied to provide the neutrality of the research interpretation. Credibility refers to the richness of the explanation provided and the analytical abilities of the researcher. It can be obtained by doing triangulation processes. The last is transferability. This refers to the ability of the researcher to give sufficient information about the findings in different setting and context. To achieve those trustworthiness’ criteria, triangulation process and peer discussion were done. Triangulation is a technique for checking the trustworthiness of data by utilizing something outside the data to verify the data or to compare them Moleong, 2001: 128. The researcher performed three types of triangulation: source triangulation, analyst triangulation, and theory triangulation. Source triangulation was done to check whether the result would not change although the data were changed several times. It used two types of sources, the movie and the script. Analyst triangulation was done to gain understanding by doing peer discussion with others, known as “member checks”. The last was theory triangulation. This type of triangulation was related to the use of several theories to avoid falsity of the result.

CHAPTER IV FINDINGS AND DISCUSSION

This chapter is divided into two sections: findings and discussion. In the first section, the researcher provides the tables of research findings. There are also brief explanations about the findings before the discussion. In the second section, the researcher provides a deeper explanation of research findings, which contains types of adjacency pairs, with dispreferred second turn and the politeness principles on dispreferred second turn used by the main characters in the movie The Duchess. She also gives examples for the analysis to make the explanations clear.

A. Findings

In this section, the researcher figures out the findings based on three problem formulations in the first chapter. The first finding is related to the types of adjacency pairs uttered by the main characters. Adjacency pairs can occur when at least two pairs of utterances appear. From the analysis of adjacency pairs’ occurrence, the researcher found sixteen types of adjacency pairs uttered by the main characters. After having peer discussion, the researcher finally got the fixed data as shown in the table below.