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Systematic process analysis

When and how to use it

Bibliographic Data

ID23337155
AuthorsPeter A Hall (0000-0001-7730-0552)
Year2006
Volume3
Issue1
Pages24-31
Publication date2006-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEuropean Management Review (JOURNAL)
Journal identifiersISSN: 1740-4754 • E-ISSN: 1740-4762
PublisherWiley (PUBLISHER • GB)
DOI10.1057/palgrave.emr.1500050
OpenAlexW2115575435
LanguageEN
Citations received76
References cited25

Challenging the contention that statistical methods applied to large numbers of cases invariably provide better grounds for causal inference, this article explores the value of a method of systematic process analysis that can be applied in a small number of cases. It distinguishes among three modes of explanation — historically specific, multivariate, and theory‐oriented — and argues that systematic process analysis has special value for developing theory‐oriented explanations. It outlines the steps required to perform such analysis well and illustrates them with reference to Owen's investigation of the ‘democratic peace’. Comparing the results available from this kind of method with those from statistical analysis, it examines the conditions under which each method is warranted. Against conceptions of the ‘comparative method’ which imply that small‐ n case‐studies provide weak grounds for causal inference, it argues that the intensive examination of a small number of cases can be an appropriate research design for testing such inferences.

Causal analysis · Causal inference · Data science · Econometrics · Economics · Epistemology · Inference · Machine learning · Management science · Operations management · Process (computing) · Process theory · Sociology · Statistical inference · Statistics · Value (mathematics) · Work in process · Artificial Intelligence · Computer Science · Electoral Systems and Political Participation · Mathematics · Political Conflict and Governance · Qualitative Comparative Analysis Research

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Unique citing works76
Citations per year4
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 64

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