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      Data Cultures in Higher Education : Emergent Practices and the Challenge Ahead 

      Data Centres in the University: From Tools to Symbols of Power and Transformation

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          Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research.

          Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be used most commonly in implementation research. However, combining sampling strategies may be more appropriate to the aims of implementation research and more consistent with recent developments in quantitative methods. This paper reviews the principles and practice of purposeful sampling in implementation research, summarizes types and categories of purposeful sampling strategies and provides a set of recommendations for use of single strategy or multistage strategy designs, particularly for state implementation research.
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            Sampling Knowledge: The Hermeneutics of Snowball Sampling in Qualitative Research

            Chaim Noy (2008)
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              The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences

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                Book Chapter
                2023
                March 08 2023
                : 329-353
                10.1007/978-3-031-24193-2_14
                3d210ee3-f075-461f-832f-0c4051164cd4
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