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Description
Introductory: Qualitative Data Analysis Workshop (Up to 90 minutes)
• Refining the Problem Statement, Research Questions, Aims and Objectives
• Linking Research paradigm to data analysis
• The Role of Theoretical and Conceptual frameworks in data analysis
• Choosing the right data collection techniques and tools
• How to develop an effective interview schedule to collect the right data.
• Data Collection processes and Interview skills
• Importance of Pre-testing and piloting
Intermediate: Qualitative Data Analysis Workshop (Up to 90 minutes)
• Philosophical foundations and assumptions
o Ontology, epistemology, axiology and methodologies
• Principles of data analysis
• Introduction to coding
• Developing code groupings/categories and themes
• Data analysis tools and software
Research Training Workshop (practicals up to 120 minutes)
• Atlas.ti as a qualitative data analysis tool
• Generating themes
• Presentation of results for your chapter
• Analysis
o Integrating results with literature review
o Contribution of your study
• Golden treat, connecting data analysis to all parts of your dissertation/Thesis
• Practical exercises on analysing data in atlas.ti.
Data Analysis Services
• Transcriptions up to 60 Minutes
• Coding 1 transcript
• Themes and visualisations (at no cost)
• Guidance and support on results chapter write up
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