Experience of Change Interview (EoC) App(c)2019-2022 bdc & abc @ ECU
EoC Interview App
We recently completed Phase 1 successfully. Thanks to Lottery West for sponsorship, Brightwater Care Group for the setting and ECU for the research and publicity support. Phase 2 is next…
- Effective with small and large interview numbers? 100% 100%
- Suits multimodal research models or single mode? 100% 100%
- Speed of analysis after interview under 2 min? 90% 90%
- Interviewee Enjoyment of Interview? 99% 99%
- Effort required to Export data from App 10% 10%
Single question interview instrument
Imagine a single question that will allow your respondents to provide a wide range of expression. By providing two dozen individual emotion cards, they can explain how important each card is. Result: plumb a wide range of your inteviewees’ feelings with a single question. By rating each card for its relevance to the question, you can identify just the critical concerns and feelings they have at that point. And as the cards themselves have already been rated, their choices generate a numeric rating for each interviewee.
Yields Qualitative and Quantitative data
Collect their qualitative explanations as they react to each card, and later look for synchronicity between these rich textual descriptions and that subset of cards they chose to represent the feelings they rated as important. Each card they choose carries a single numeric value that adds up to their quantitative EoC score.
The ability to use the power of both qualitative and quantitative data is unusual and is another reason the Experience of Change Interview App is a powerful tool for researchers.
Only simple interviewing skills
The interview has them focus on your question in front of them. As a single card is presented, they react to that card, by giving it a relevance grading. The interviewer need only prompt for first reactions and subsequent comments. More experienced interviewers can draw more from the interview, with practise, but the basic skills have been enough for generations of PhD, Masters and Honours students at ECU to feel comfortable with the App.
Self-triangulating simplifies analysis
Each respondent identifies some feelings are important, which provides their numeric score for that interview. Next, as they explain why, they are providing textual support for that score. One should expect some alignment between their individual explanations taken as a whole and the block of feelings they chose to represent those explanations. Furthermore, if the single question is seen as impactful, the EoC results (comprising a score and all related explanations) can contribute to evaluating the impact of the research.
Team Member 1
Team Member 1
Team Member 1