SOWK 2501 Lecture Notes - Lecture 11: Internal Validity, Nvivo, Word Processor
6 Dec 2016
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Purpose is to sift and sort the masses of words collected so that we can derive patterns related to our research questions. Similarities, differences & links between data. must be aware of human frailties when drawing unwarranted conclusions and to organize our data so these frailties are minimized. Must also be aware of all unique responses, context and preconceptions. Differences from analysis of quantitative and qualitative data. Distinction among data collection, data analysis and data organization. Role of context in analysis (context more important in qual. ) Minimize the possibility of drawing unwarranted conclusions. Do not ignore uniqueness of the data. Tacit: doi(cid:374)g so(cid:373)ethi(cid:374)g (cid:271)e(cid:272)ause you k(cid:374)o(cid:449) that"s just ho(cid:449) it"s do(cid:374)e. Plan how analysis will be done (how to transcribe, rules to fit pieces of data together in a meaningful way, decide theory type) Analyse within rules set in the beginning. Draw meaning from analysis; identify relationships and themes.
