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Measuring Pro-Environmental Behavior: Convergent Validity, Internal Consistency, and Respondent Experience of Existing Instruments

Berre Deltomme, Karen Gorissen, Bert Weijters

2023Sustainability23 citationsDOIOpen Access PDF

Abstract

The influence of human behavior on climate change and environmental decline is receiving increased attention; and therefore, it has led to an increase in studies that measure pro-environmental behavior (PEB) as a predictor, a covariate, or an outcome variable. To this end, (validated) self-report scales have traditionally been the main measurement tool, but lately, several experimental instruments have also been developed to measure PEB. Measurement instruments that are considered to measure the same construct should provide consistent results, i.e., they should show high convergent validity. However, it is not clear whether substitute measures for PEB show this necessary convergent validity and how they compare to each other in terms of internal consistency and respondent experience. To address this, we investigated thirteen validated self-report scales and three experimental tasks on their psychometric qualities (i.e., validity and internal consistency) and respondent experience. Therefore, we assigned 340 participants and randomly administered half of the instruments to each of them. The results show that, in general, convergent validity is lacking, which shows that the measurement instruments cannot be considered equivalent. As for respondent experience, the experimental tasks are most time-consuming, are perceived as most fatiguing, and are most sensitive to multitasking. The self-report scales are most sensitive to socially desirable responding and acquiescence bias. Our insights cater to researchers in environmental psychology and sustainability seeking to employ validated self-report scales or behavioral tasks in measuring PEB.

Topics & Concepts

RespondentConvergent validityPsychologyConsistency (knowledge bases)Social psychologyConstruct validityMeasure (data warehouse)Predictive validityInternal consistencyPsychometricsClinical psychologyComputer scienceArtificial intelligenceData miningLawPolitical scienceEnvironmental Education and SustainabilityClimate Change Communication and PerceptionBehavioral Health and Interventions
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