Following the supplemental guide working through the quantitative data in excel my average calculation resulted in 4 instead of 4.43. I remembered that you must format the cells to include decimal points when using numbers. If you keep the format general, then you would get decimals in your answer. I tried to recreate the pie chart in excel but had difficulty selecting the appropriate data. I’ve included a screenshot to show my error. I used Excel frequently during my undergraduate degree in Chemistry however that was many years ago, Excel has changed over the years and the data I was using at the time was based on experimental measurements, as opposed to survey data from people. Coming from a numbers background I see the value of quantitative data analysis and the types of responses that it is appropriate for. Demographic data and simple responses fit best with quantitative data analysis.
Reading through the qualitative analysis supplemental guide and data transcript I can see how time consuming this process could be. I’m curious on the technology that was used to transcribe the interview. If it was a person listening to a recording and typing out what was said, would you include the “ums and uhs”? My experience reviewing surveys with written responses is to highlight key points and take notes on themes. I understand when to use qualitative data analysis but would like to know approximate timelines on these kinds of interviews. I also wonder about the bias we have as the researcher interpreting the data and don’t know if Morris (2015) addressed that issue with enough depth to fully comprehend. Sources: Aidley, D. (2018). Introducing quantitative methods: A practical guide. Red Globe. Chapter 6: Basic concepts of data description and analysis (pp. 155-190). Morris, A. (2015). A practical introduction to in-depth interviewing (pp.121-137). Sage. Chapter 8: Transcribing, analysing and writing up the interviews.
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AuthorTanya Kerr is a current student of Queen's University Graduate studies. Archives
September 2023
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