FRHD 3070 Lecture Notes - Lecture 14: Discourse Analysis, Narrative Inquiry, Conversation Analysis

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Describe or capture themes that emerge from the data. Data are non-numerical and expressed in language and/or images. Qualitative approaches: a(cid:374)y (cid:396)esea(cid:396)(cid:272)h that does(cid:374)(cid:859)t i(cid:374)(cid:448)ol(cid:448)e (cid:374)u(cid:373)e(cid:396)i(cid:272)al data. Instead uses words, pictures, photos, videos, audio recordings. Tends to start with a broad question rather than a specific hypothesis: develop theory rather than start with one (inductive rather than deductive) Tends to yield rich data to explore how and why things happened: do(cid:374)(cid:859)t (cid:374)eed la(cid:396)ge sa(cid:373)ple sizes (cid:894)i(cid:374) (cid:272)o(cid:373)parison to quantitative research) Some issues may arise, such as: respondents providing inaccurate or false information or saying what they think the researcher wants to hear. Ethical issues may be more problematic as the researcher is usually closer to participants: researcher objectivity may be more difficult to achieve. Secondary data, including diaries, self-reporting, written accounts of past events/archive data and company reports: direct observations may also be recorded (video/ audio)

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