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Value and Opportunity for Improvement Science in Evaluation
Author(s) -
Inkelas Moira,
Christie Christina A.,
Lemire Sebastian
Publication year - 2017
Publication title -
new directions for evaluation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.374
H-Index - 40
eISSN - 1534-875X
pISSN - 1097-6736
DOI - 10.1002/ev.20231
Subject(s) - value (mathematics) , field (mathematics) , resource (disambiguation) , computer science , scale (ratio) , evaluation methods , repertoire , management science , knowledge management , data science , engineering , mathematics , reliability engineering , computer network , physics , quantum mechanics , machine learning , acoustics , pure mathematics
This chapter focuses on features of improvement science that the evaluation field could benefit from, drawing from case examples. Themes addressed include learning from error, learning from and reducing variation, systems thinking, and learning for scale. We also consider opportunities for professional development, whereby evaluation professionals and people in practice can successfully apply improvement science techniques and methods within and across fields and in the complex systems that shape health, social, and educational outcomes. Finally, we describe resource and management challenges of building improvement science into the evaluation repertoire.