Transparent and Reproducible Data Analysis
Connelly, R; Gayle, V; Playford, C
Date: 23 September 2020
Book chapter
Publisher
SAGE Publishing
Publisher DOI
Abstract
There is increasing concern across a wide range of academic disciplines that empirical results
cannot be reproduced because of a lack of transparency in the research process (Baker, 2016).
Over the last decade there has been increasing anxiety that it is impossible to verify the results
presented in many research papers (Christensen, ...
There is increasing concern across a wide range of academic disciplines that empirical results
cannot be reproduced because of a lack of transparency in the research process (Baker, 2016).
Over the last decade there has been increasing anxiety that it is impossible to verify the results
presented in many research papers (Christensen, Freese, & Miguel, 2019).
There is a growing interest in the need for researchers to provide additional materials alongside
traditional publications to enable other researchers to understand, evaluate and build upon
previous research work. The purpose of these materials is to provide sufficient information for
a third party, that is unconnected with the original work, to reproduce results without any
additional information being provided by the original authors.
The focus of this entry is social science research that employs statistical techniques to analyse
observational data (e.g. social surveys). Many of the issues associated with undertaking
transparent and reproducible data analysis pervade other forms of social science research (e.g.
qualitative data analysis), despite the different nature of the data and the analytical techniques
that are used.
Social and Political Sciences, Philosophy, and Anthropology
Faculty of Humanities, Arts and Social Sciences
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