A problem-bound evaluation approach
Kristen L. Rohanna and
Christina A. Christie
Evaluation and Program Planning, 2023, vol. 96, issue C
Abstract:
Traditional modes of evaluation can be constraining when seeking to improve persistent societal problems within complex systems. Frameworks that assume stability and predictability may not match the system dynamics within which a program resides. This paper seeks to further evaluators' understanding of how to improve problems in complex systems by offering a "problem-bound" evaluation approach. This model is grounded in theoretical concepts from complexity science, complex adaptive systems, systems thinking, and improvement science. As such, it provides an agile and flexible framework for continually learning from emergent findings related to the problem. By offering this model, we seek to contribute to the limited knowledge base on how to apply systems change theoretical ideas in evaluation practice, along with practical implications regarding the evaluator's role.
Keywords: Evaluation; Problem-bound evaluation; Systems change; Systems thinking; Complex adaptive systems; Improvement science (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0149718922001410
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:epplan:v:96:y:2023:i:c:s0149718922001410
DOI: 10.1016/j.evalprogplan.2022.102187
Access Statistics for this article
Evaluation and Program Planning is currently edited by Jonathan A. Morell
More articles in Evaluation and Program Planning from Elsevier
Bibliographic data for series maintained by Catherine Liu ().