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ERIC Number: EJ989389
Record Type: Journal
Publication Date: 2013-Jan
Pages: 21
Abstractor: As Provided
Reference Count: 50
ISSN: ISSN-1558-6898
Comparing Analysis Frames for Visual Data Sets: Using Pupil Views Templates to Explore Perspectives of Learning
Wall, Kate; Higgins, Steve; Remedios, Richard; Rafferty, Victoria; Tiplady, Lucy
Journal of Mixed Methods Research, v7 n1 p22-42 Jan 2013
A key challenge of visual methodology is how to combine large-scale qualitative data sets with epistemologically acceptable and rigorous analysis techniques. The authors argue that a pragmatic approach drawing on ideas from mixed methods is helpful to open up the full potential of visual data. However, before one starts to "mix" the stages of analysis one needs to be aware of the strengths and weaknesses provided by the various qualitative and quantitative perspectives. This article therefore provides a methodological discussion based on empirical research experiences with one visual data set: Pupil Views Templates (Wall and Higgins). The authors investigate two different approaches to the analysis of these data: inductive and deductive processes. The two approaches are applied separately to the same data set and observations are made regarding the affordances and constraints of each process, and the findings and implications for developing visual analysis in this area are presented. The authors show how both processes provide useful insight, but without clear strategy as to how they can be combined to achieve the intent of the research, the true potential of visual data will remain unlocked. (Contains 2 figures and 4 tables.)
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Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom (England)