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|Workshop Name||Visual Analytics and Techniques for Content Analysis|
|About Workshop||Content analysis is a diverse, multimodal, nonreactive research method, and analytical approach for collecting and analyzing quantitative or qualitative data. Typically, it involves a systematic examination of text, documents, audio, videos, images, diagrams, social media, newspapers, or other nonmaterial forms of evidence (e.g. cultural relics, semantics, anagrams, etc.), all of which might have been collected for different purposes.
In this workshop, participants will explore various visual analytical techniques used in content analysis, and the general steps involved in effectively performing content analysis. Furthermore, participants will become familiar with a different software package(s) and tools for analysis, visualization, and presentation of outcomes of coded data.
What will be covered?
Issues of theoretical sampling of content for examination, unit of analysis, reliability, and validity of coding data, will be discussed. The following data visualization techniques will be explored.
• Thematic tables
• Concept mapping
• Tag Cloud
• Semantic trees
• Root-cause analytic trees
• Sociograms and social networks
|Who Should Attend||Staff and postgraduate students working with content analysis or interested in learning about this research method and analytical approach|
|Date & Time||
20/09/2017 Wednesday 09:00AM - 12:00PM
HEDC Seminar Room, Level 1, HEDC, 65/75 Union Place West, Dunedin
|Facilitators||Dr Ben Daniel, HEDC|