Thursday, 4 July 2013

Analysis of sample data:



I predict that I am going to find more talk of feeling in the Ellen Degeneres' interview, due to Tannen's difference theory and my experience of watching her show has shown me she uses these techniques when talking to someone, as a multiple guest show Graham Norton may have more humour and other guests interrupting.

ethical:
as my data is from a public source is may not be necessary to ask for permission to use, as it has been broadcast on TV, but i will state in my final piece that these are not my own transcripts, they have been made by me watching a ready recorded source. privacy is not really an issue in this area for the same reasons as stated above.

reliable:
to make my data reliable, I will get about 4 transcripts from each interviewer, for the sample data I used Ellen and Graham Norton, this may not be reliable as previously stated, Graham Norton is a multiple guest show and Ellen is not which although i picked interviews with the same person, is not in the same situation. i used the same time frame (2:31) for both interviews, one was exactly this length so i matched it to the other one (which was considerably longer)

comparable:
again, I might have to change the interviewers I am using, due to the difference in their formats. this would make the data comparable. As well as this, I will use the same guest (male) and another guest (female) to compare the interviewers techniques only, and how they change with gender, and for genders. 


1 comment:

  1. Good. With reliablity, consider using the whole interview and looking at the effect of taking a section to make them the same length - that may not be an issue or it may be an issue you can consider in your discussion of the two interviews (that one is considerably longer). If gender is a factor to consider, what part might homosexuality play in adhering or diverging from gender stereotypes, including language use? Is there any research? It is a good idea to keep the interviewee the same, but other comparability factors (e.g. time frame) might also be significant.

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