Goldman-Segall, R.: Interpreting video data : introducing a 'significance measure' to layer description (1993)
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- Abstract
- Proposes a new approach for researchers who analyze video data, recommending that data be layered in as many ways as possible as they are selected, coded, and annotated. Although video has become an important source of data over the past decade, the problem facing researchers is that interpreting video is fundamentally different from interpreting text. Examines some of the theoretical issues underlying the inherent complexity of working with video data. Describes the video ethnography of a particular graduate student user who is working with video data. Explains the use of a toll called a 'significance measures' which allows users to layer or weigh the relative importance of topics. Layered structures will enable users to see which data are most significant and for whom, to the total body of data
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