Romanian Survey Data on Climate Change Boredom and Action Intentions

Romanian survey data analyzes psychological factors influencing climate action. The dataset contains results from a Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis of a representative sample, predicting 66.8% of climate change boredom. It was authored by Ruxandra Malina Petrescu-Mag and last updated in May 2026.

Use Cases

• Modeling predictors of climate change boredom based on beliefs, goal commitment, and self-efficacy mentioned in the description
• Assessing the impact of climate change boredom on intention to act against climate change
• Investigating the role of perceived health impacts and living environment on climate engagement
• Developing targeted communication strategies based on demographic and psychological predictors

Strengths

• Model explains 66.8% of the variance in climate change boredom
• Data sourced from a representative sample of Romanian people
• Published under a permissive CC-BY-4.0 license

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic bias inherent to a single-country survey

Provenance

Source

figshare

Collection Method

Survey of a representative sample of Romanian people, analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM)

Freshness

Last updated 2026-05-27 17:22:51

Geography

Romania