A guide to qualitative attribution methods for evaluation in conservation

© 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.

Bibliographische Detailangaben
Veröffentlicht in:Conservation biology : the journal of the Society for Conservation Biology. - 1989. - 37(2023), 4 vom: 28. Aug., Seite e14071
1. Verfasser: Zavaleta Cheek, Jennifer (VerfasserIn)
Weitere Verfasser: Eklund, Johanna, Merten, Nikolas, Brooks, Jeremy, Miller, Daniel C
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Conservation biology : the journal of the Society for Conservation Biology
Schlagworte:Journal Article Research Support, Non-U.S. Gov't conservación de la biodiversidad biodiversity conservation causal inference conservation policy impact evaluation theory of change validation methods
Beschreibung
Zusammenfassung:© 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.
Knowledge of what conservation interventions improve biodiversity outcomes, and in which circumstances, is imperative. Experimental and quasi-experimental methods are increasingly used to establish causal inference and build the evidence base on the effectiveness of interventions, but their ability to provide insight into how and under what conditions an intervention should be implemented to improve biodiversity outcomes faces limitations. A suite of attribution methods that leverage qualitative methods for causal inference is available but underutilized in conversation impact evaluation. This article provides a guide to 5 such qualitative attribution methods: contribution analysis, process tracing, realist evaluation, qualitative comparative analysis, and most significant change. It defines and introduces each method and then illustrates how they could be applied through a case study of community conservancies in Namibia. This guide provides examples of how qualitative attribution methods can advance knowledge of what works, in which contexts, and why in biodiversity conservation
Beschreibung:Date Completed 31.07.2023
Date Revised 01.08.2023
published: Print-Electronic
Citation Status MEDLINE
ISSN:1523-1739
DOI:10.1111/cobi.14071