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The effects of feedback on energy conservation

A meta-analysis

Bibliographic Data

ID7983296
AuthorsBeth Karlin (University of California, Irvine), Joanne F Zinger (0000-0001-9667-2458, University of California, Irvine), Rebecca Ford (0000-0003-0820-8650, University of Otago)
Year2015
Volume141
Issue6
Pages1205-1227
Publication date2015-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychological Bulletin (JOURNAL)
Journal identifiersISSN: 0033-2909 • E-ISSN: 1939-1455
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/a0039650
PMID26390265
OpenAlexW2413028598
LanguageEN
Citations received73
References cited43

Feedback has been studied as a strategy for promoting energy conservation for more than 30 years, with studies reporting widely varying results. Literature reviews have suggested that the effectiveness of feedback depends on both how and to whom it is provided; yet variations in both the type of feedback provided and the study methodology have made it difficult for conclusions to be drawn. The current article analyzes past theoretical and empirical research on both feedback and proenvironmental behavior to identify unresolved issues, and utilizes a meta-analysis of 42 feedback studies published between 1976 and 2010 to test a set of hypotheses about when and how feedback about energy usage is most effective. Results indicate that feedback is effective overall, r = .071, p < .001, but with significant variation in effects (r varied from -.080 to .480). Several treatment variables were found to moderate this relationship, including frequency, medium, comparison message, duration, and combination with other interventions (e.g., goal, incentive). Overall, results provide further evidence of feedback as a promising strategy to promote energy conservation and suggest areas in which future research should focus to explore how and for whom feedback is most effective

Biology · Economics · Energy (signal processing) · Energy conservation · Incentive · Meta-analysis · Microeconomics · Psychological intervention · Set (abstract data type) · Statistics · Behavioral Health and Interventions · Climate Change Communication and Perception · Computer Science · Ecology · Environmental Education and Sustainability · Mathematics · Medicine · Psychology

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