Some difficulties and inconsistencies when using habit strength and reasoned action variables in models of metered household water conservation

Jorgensen, Bradley S., Martin, John F., Pearce, Meryl, and Willis, Eileen (2013) Some difficulties and inconsistencies when using habit strength and reasoned action variables in models of metered household water conservation. Journal of Environmental Management, 115. pp. 124-135.

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Abstract

Research employing household water consumption data has sought to test models of water demand and conservation using variables from attitude theory. A significant, albeit unrecognised, challenge has been that attitude models describe individual-level motivations while consumption data is recorded at the household level thereby creating inconsistency between units of theory and measurement. This study employs structural equation modelling and moderated regression techniques to addresses the level of analysis problem, and tests hypotheses by isolating effects on water conservation in single-person households. Furthermore, the results question the explanatory utility of habit strength, perceived behavioural control, and intentions for understanding metered water conservation in single-person households. For example, evidence that intentions predict water conservation or that they interact with habit strength in single-person households was contrary to theoretical expectations. On the other hand, habit strength, self-reports of past water conservation, and perceived behavioural control were good predictors of intentions to conserve water.

Item ID: 58027
Item Type: Article (Research - C1)
ISSN: 1095-8630
Keywords: Decision-making processes, Perceptions/attitudes/beliefs, Water conservation
Copyright Information: © 2012 Elsevier Ltd. All rights reserved.
Funders: Australian Research Council (ARC)
Date Deposited: 17 Apr 2019 09:15
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 100%
SEO Codes: 96 ENVIRONMENT > 9609 Land and Water Management > 960912 Urban and Industrial Water Management @ 100%
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