"More Than Meets The Eye" Animated VR Experience

Notes: Lots of interpretations but keep research questions in mind Can code text on emotional, descriptive of a particular thing, frequency, historical, sequence of events with one word etc Coding depends on guiding concerns of research Can code passages in multiple ways - as the first past, then revisit and clean up Qualitative coding is subjective Recording of process and documenting how your coding progressed is key (memo writing) Memos will prove that you were transparent, honest and thorough Check coding against literature review and research questions Notes: In order to code you are writing summative statements (codes) on the text. Clarifying statements A memo is a reminder about your process. Did I learn something that I expected to see? Did I notice contradictions. A memo is important as a log and allows how to write about data. Coding is a slow process. Read, think and step back Your memos record how you've built up your theory Memos help the ...

First sweep of the transcript (Sally Booth) and extracted segments that I found interesting. Placed randomly on powerpoint slides. Slides then shuffled randomly, so the sentences become abstracted and out of sequence. Beginning to apply a loose colour code to sentences that are similar in content.

The beginnings of data coding. Immersing myself in the transcripts Placing extracts into powerpoint slides - slides can be re-ordered to create random groupings and there is the option of creating smart-art.

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Punctuation for verbatim transcription http://support.onespace.com/training-resources/transcription-style-guide

Qualitative analysis of interview data: A step-by-step guide for coding/indexing  https://youtu.be/DRL4PF2u9XA Notes: Step 1: Scan transcripts as a whole Make notes about first impressions Re-read carefully, line by line Step 2: Label relevant codes. What to code? It's repeated. It surprises you. The participant states that it's important. You have read about something similar in previously published reports/articles. It reminds you of a theory or concept. For some other reason that you think it's relevant. You can aim for a description of things that are superficial or you can aim for a conceptualisation of underlying patterns. It's your study and your choice of methodology. You are the interpreter and these phenomena are highlighted because you consider them to be important. Make sure to explain and reveal your methodology and the choices you make. Do that under the he...

https://youtu.be/5zFcC10vOVY  - Victoria Clarke Notes: Familiarise yourself with the data. Read and re-read. Do not advance immediately to theme generation. It's not about being an expert data analyst, or an inexperienced data analyst. It's a process of time and reflection that has to unfold Reflexive TA thinks of codes as things - analytic entities. Coding produces little things and then themes are generated from those clustered codes. A code is a label that captures something interesting in the data. Avoid one word and really get into data. Code labels need to work independently from the data - they need to evoke data and be clear, when the data is not present. Go through systematically and go through each data item individually. Then view subsequent data items through the lens of the first. Codes can get bigger and then break up into different codes It's a flexible and organic process and therefore a couple of coding sweeps are recommended. The main disti...