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The REBL Score: A dynamic measure of pro-environmental behavior

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Listed:
  • Shrum, Trisha
  • Donovan, Christopher
  • Bloch, Sadie
  • Cripps, Emma
  • Boyson, Ceclia

Abstract

The field of environmental behavior suffers from a lack of precise, reliable, and unidimensional measurement tools. Without reliable tools that can measure changes over time, the drivers of behavior will remain opaque. To fill this gap in the methodological toolkit, we present a new Rasch-model based measurement tool. The Repeated Environmental Behaviors Latent (REBL) Scale has 24 yes-or-no questions about behaviors carried out over the past week that are transformed into the REBL Score, a true-interval measure that captures a wide range of intensity of pro-environmental behavior preferences. Starting with a broad list of behaviors, we systematically reduced the scale using data from a series of nationally representative to create a measure that is unidimensional, invariant, and reliable. We validate the measure by comparing it with a measure of donations to a pro-environmental non-profit; these measures strongly correlate, but the REBL Score exhibits better statistical properties and theory development potential.

Suggested Citation

  • Shrum, Trisha & Donovan, Christopher & Bloch, Sadie & Cripps, Emma & Boyson, Ceclia, 2024. "The REBL Score: A dynamic measure of pro-environmental behavior," OSF Preprints w92se, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:w92se
    DOI: 10.31219/osf.io/w92se
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    1. Mair, Patrick & Hatzinger, Reinhold, 2007. "Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i09).
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