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Chapter 14 Analysing Qualitative Data. Zina O’Leary. QDA. Qualitative Data Analysis (QDA) creates new understandings by exploring and interpreting complex data from: interviews group discussions observation journals archival documents, etc. without the aid of quantification.
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Chapter 14Analysing Qualitative Data Zina O’Leary
QDA • Qualitative Data Analysis (QDA) creates new understandings by exploring and interpreting complex data from: • interviews • group discussions • observation • journals • archival documents, etc. • without the aid of quantification. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
QDA • In QDA, there is a reliance on words and images to draw out rich meaning. • Analysis should be approached as a critical, reflexive, and iterative process that cycles between data and an overarching research framework. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
Data Management • Managing qualitative data involves: • familiarizing yourself with appropriate software • developing a data management system • systematically organizing your data • making overarching notes • preparing transcriptions • and finally (if using QDA software) entering the data. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
Logic and Methods • The methods and logic of QDA involve: • balancing creativity and focus while uncovering and discovering themes that run through the raw data. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
Logic and Methods • QDA involves: • identifying biases and noting impressions • reducing • organizing and coding • searching for patterns and interconnections • mapping and building themes • building and verifying theories and drawing conclusions. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
Funnelling Towards Meaning Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
Cycles of Reasoning • Qualitative data analysis often involves: • moving through cycles of inductive and deductive reasoning • thematic exploration (based on word, concepts, literary devises, and nonverbal cues) • and exploration of the interconnections among themes. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
QDA • There are a number of paradigm/ discipline based strategies for QDA including: • overarching methodologies • content, discourse, narrative, and conversation analysis • semiotics • hermeneutics • and grounded theory. • Visual analysis intersects with all of these and reminds researchers of the importance of images. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage
QDA Presentation Effective presentation of qualitative data can be a real challenge. You will need to have a clear storyline, and selectively use words and/or images to give weight to your story. Zina O’Leary (2009) The Essential Guide to Doing Your Research Project. London: Sage