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What is Saturation

Encyclopedia of Information Science and Technology, Fourth Edition
A point where nothing new is forthcoming.
Published in Chapter:
Challenges in Collecting Qualitative Data for Information Systems Studies
Tiko Iyamu (Cape Peninsula University of Technology, South Africa) and Irja Naambo Shaanika (Namibia University of Science and Technology, Namibia)
Copyright: © 2018 |Pages: 10
DOI: 10.4018/978-1-5225-2255-3.ch389
Abstract
In recent years, there has been shift towards understanding why things happen in the way that they do, from the qualitative perspectives. However, the qualitative methods are sometimes considered either too trivial or difficult by many postgraduate students. This is attributed to fact that there is lack of formula or specific procedure in the application of the methods, which manifest from its subjective nature. The subjectivism makes it even more difficult during data collection and analysis, mainly because it requires special skills and knowledge to interrogate the subject within context. Many postgraduate students falls short in their attempts to exhume quality and rich data from the participants in their natural settings as they develop, implement, use and interact with systems. This is the main reason why two empirical studies of the same objectives could possibly produce different results.
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An Introduction to Survey Research
The point at which further qualitative data collection is unnecessary and likely to yield any additional data.
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International Undergraduate Student Choice of Alberta for Post-Secondary Education
The concept of determining whether data collected from focus groups or surveys is presenting any new information. If no new information is being collected, saturation has been achieved and no more data collection is required.
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On-Chip Networks for Modern Large-Scale Chips
A state at which the network cannot accept offered traffic and therefore buffer occupancy at the injection points constantly increases.
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Methodology and Method in Case Study Research: Framing Research Design in Practice
To the fullest extent and/or beyond the point regarded as fundamentally necessary.
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