the utterances, the initial name of speaker, indicated a pause in the conversation and indicated standard intonation patterns were written down. The example of this
step was seen as follows: Table 3.1 Transcript of Conversation
264. E.2 : Ehm – OK, I just mm ++ what ++ I have a question for you about
your job, you are a journalist, RIGHT? 265. I :
YES, I am 266. E.2 :
You have invited many places in Indonesia, and I want to know what are impression, your mm ++ your own
impression about Indonesian - Indonesian people 267. R :
PARDON, Eni…can you speak LOUDER? 268. E.2 :
OK, I just want to know your impression, your impression about Indonesian people
269. I : IMPRESSION? My IMPRESSION?
270. E : AHA yes
3.5 Method of Data Analysis
The data were in the form of conversation transcripts of Pro 2 English Time of RRI Semarang edition “Ingrid from Holland”. In accordance with Miles and
Huberman 1994: 429 interactive model which consisted of data display, data reduction and conclusion, the data then analyzed by using these following steps:
3.5.1 Identifying the Transcript
Identifying means that the activity of separating the data by marking and numbering. Here, the data were in clause forms. The marking activity was done
by noticing the clauses dealing with the research problem. The purpose of this activity was to enable the writer to review the datum for the inventorying process.
The step was to find parts of the participants’ clauses which were going to be analyzed. Identifying the transcript was done by underlining the relevant data,
which had some correlation with the statements of the problems. After the process of identifying had been completed, 335 data in clause forms were collected. Those
data were later broken down into 391 data in clause forms which would be classified and analyzed based on Gricean cooperative principles theory. In order
to ease the process of classifying and analyzing, those clauses were coded with the number of speaker’s turn taking in conversation T and the number of clause C
– although some of the data were not kind of completed clause. Each datum classified and analyzed in this final project was coded in a format T.XXC.XX.
The process was seen as follows: Table 3.2 The transcript before identification
1.
R: OK, hello good evening listeners –
so welcome to Pro 2 English Time - an English interactive program broadcast live to you from the news, information and music channel
of pro 2 RRI Semarang – OK welcome back here with Rosalind here -
but I’m not alone I was –mm +++ I’m accompanied by somebody - beautiful girl coming from mm ++ Holland If I’m not - mm ++
YES - I think mm - you can introduce yourself first Ingrid
Table 3.3 The transcript after identification
T u
r n
N u
m b
e r
T Participant
Clause Number
C Data
1.
R: 1.
OK, hello good evening listeners – so welcome to Pro 2 English Time - an English interactive program broadcast
live to you from the news, information and music channel of pro 2 RRI Semarang –
2. OK welcome back here with Rosalind here - but I’m not
alone I was –mm +++ I’m accompanied by somebody - beautiful girl coming from mm ++ Holland If I’m
not - mm ++
3. YES - I think mm - you can introduce yourself first
Ingrid
3.5.2 Inventorying
