Romanian Survey on Climate Change Boredom and Action Intentions

66.8% of climate change boredom was predicted by beliefs, commitment, self-efficacy, health perceptions, environment, and age. This dataset contains survey results from a representative sample of Romanian people, analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). It was authored by Ruxandra Malina Petrescu-Mag and last updated in May 2026.

Use Cases

• Model psychological predictors of climate change boredom based on beliefs, goal commitment, and self-efficacy.
• Assess the impact of climate change boredom on intention to act against climate change.
• Analyze demographic factors like age and living environment in relation to climate engagement.
• Inform climate communication strategies by identifying key psychological barriers.

Strengths

• Dataset is small at 9.5 KB, facilitating quick download and initial exploration.
• Analysis explains 66.8% of the variance in climate change boredom, indicating a strong predictive model.
• Data is based on a survey of a representative sample of Romanian people.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size of 9.5 KB suggests a very limited scope.

Provenance

Source

Ruxandra Malina Petrescu-Mag via figshare.

Collection Method

Survey of a representative sample of Romanian people, analyzed with PLS-SEM.

Freshness

Last updated 2026-05-27 17:22:48; freshness should be verified.

Geography

Romania