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CW 10 Homework
Hi all,
The Coding Exercise document states regarding CW 10 Homework:
Due CW 10 (2017-06-25),
submit your 1-2 page conclusion to StudOn
– Submit as a PDF file
– State which research question you are answering
– Maximum of 2 pages
Where can i find the research questions? Should we pick one ourselves or is the research question some where hidden in the slides?
have a nice weekend and best regards,
Chris
Hi Chris,
the general research question is (and you could use that) “What are the best practices of user experience design in software product lines?”
You’re free to formulate a different question though, if you feel that there is some interesting information in the interviews that would help answer your question.
Have a nice weekend,
Andreas
thank you for your fast response, I have 4 more questions
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Regarding handing in the HW for the CWs leading up to CW10, is there some sort of submit button in QDAcity or is it enough to just code the interviews and leave them like that, since you have access to our coding anyways?
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In which form should we present our 1-2page Conclusion (Bullet points and tabelles or continuous text)?
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Who is the target audience of this report about our conclusions?
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Should we keep the identity of the interviewees hidden in our conclusion paper by not mentioning them at all, should we directly reference them or should we use reference that can not be used to identify these persons such as: “The Team leader of the usability team of major software developing company stated best practice XYZ…” ?
Thank you for your time, schöne Grüße,
Chris
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Re: 1) there is no submit button. Just code it in qdacity, that’s all.
Re: 2) Prose text. Imagine you’d be writing it as part of a paper on this topic that answers the selected research question.
Re: 3) Ideally both researchers and practitioners. But it should be written more like a research paper than as a practitioner report.
Re: 4) Now, the interviews you got are already anonymized, but imagine they weren’t and you want to protect your participants privacy as much as possible while still publishing your results. In a real life scenario the level of how much you can reveal is part of the informed consent that the participants agree to, and also agreed upon with the management of these companies. Since here, you’re not doing the full cycle of sampling, data gathering and analysis, just assume the participants are OK with quotes as long as their names are not directly revealed.