Abstract: In this article the author explores the potential and challenges of PPI in quantitative research - from the perspective of a statistician. She notes that a high-quality statistical analysis depends on having a representative sample in terms of the people taking part in the research. PPI can help achieve that by increasing participation of under‐represented or seldom-heard groups. Statisticians develop mental models of how things work to design their analysis, and these models are based on those individuals’ assumptions. PPI could challenge those assumptions if necessary, and so improve the model that forms the basis of the statistician’s thinking. The challenge is knowing how best to involve people in this work and statisticians may benefit from training and support to develop their practice.
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Categories: all Designing research Undertaking research Analysing and interpreting impact on research impact on researchers nature and extent of public involvement in research impact of public involvement journal article Recruitment
Date Entered: 2019/02/19
Date Edited: 2019/02/19