Replication of Quantitative Work in Development Studies: Experiences and Suggestions

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Duvendack, Maren ORCID: https://orcid.org/0000-0002-8125-9115 and Palmer-Jones, Richard (2014) Replication of Quantitative Work in Development Studies: Experiences and Suggestions. In: Methodological Challenges and New Approaches to Research in International Development. Palgrave Macmillan, pp. 238-260. ISBN 9781137293619

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Abstract

Replication1 is seen as a key characteristic of natural science (Collins, 1985; Jasny et al., 2011); observations, especially those employing complex instruments, and experiments need to be repeated, and statistical analyses be scrutinized, before results gain credibility. This is not the case in social sciences; social science data are seldom re-produced,2 or re-analysed to check the original calculations, or analysed using alternative perspectives or frameworks.3 Hence, it is not clear that quantitative social science can advance in the same way as natural science. Nevertheless, there have often been calls among quantitative social scientists for replication (Frisch, 1933; Dewald et al., 1986; King, 1995; Gleditsch and Metelits, 2003; McCullough and Vinod, 2003; Pesaran, 2003; Bernanke, 2004; Freeze, 2007; McCullough and McKitrick, 2009; Burman et al., 2010), especially of computational4 studies (Peng, 2011). The proposed benefits include: full understanding of the computations5 and estimations, including for pedagogy; credibility; a basis for further work either assessing the robustness of the study to alternative variable constructions, model specifications, estimation methods or software, or extending or building on it; and an audit function — to identify and deter fraud and/or over-interpretation of the data (McCullough et al., 2006).

Item Type: Book Section
Faculty \ School: Faculty of Social Sciences > School of Global Development (formerly School of International Development)
UEA Research Groups: Faculty of Social Sciences > Research Groups > Gender and Development
Faculty of Social Sciences > Research Groups > Impact Evaluation
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Depositing User: Pure Connector
Date Deposited: 08 Aug 2017 05:08
Last Modified: 24 Sep 2024 08:07
URI: https://ueaeprints.uea.ac.uk/id/eprint/64389
DOI: 10.1057/9781137293626_11

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