Searching for success: A mixed methods approach to identifying and examining positive outliers in development outcomes

Caryn Peiffer*, Rosita Armytage

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

18 Citations (Scopus)
205 Downloads (Pure)

Abstract

Increasingly, development scholars and practitioners are reaching for exceptional examples of positive change to better understand how developmental progress occurs. These positive outlying cases are often referred to as ‘positive exceptions’, but also ‘positive deviants’ and ‘pockets of effectiveness’. Studies in this literature promise to identify and examine positive developmental change occurring in otherwise poorly governed states. However, to identify success stories, such research largely relies on the reputations of cases, and, by doing so, overlooks cases that have not garnered a reputation for their developmental progress. This paper presents a novel three-stage methodology for identifying and examining positive outlier cases that does not rely solely on reputations. It therefore promises to uncover ‘hidden’ cases of developmental progress as well as those that have been recognized. The utility of the methodology is demonstrated through its use in uncovering two case studies in which surprising rates of bribery reduction occurred, though the methodology has much broader applicability. The advantage of the methodology is validated by the fact that, in both cases identified, the reductions in bribery that occurred were previously unrecognized.
Original languageEnglish
Pages (from-to)97-107
Number of pages11
JournalWorld Development
Volume121
Early online date10 May 2019
DOIs
Publication statusPublished - 1 Sept 2019

Research Groups and Themes

  • SPS Centre for Urban and Public Policy Research

Keywords

  • Bribery
  • Corruption
  • Development
  • Methodology
  • Positive outliers

Fingerprint

Dive into the research topics of 'Searching for success: A mixed methods approach to identifying and examining positive outliers in development outcomes'. Together they form a unique fingerprint.

Cite this