Romanian Survey on Climate Change Boredom and Behavioral Intentions

A representative sample of Romanian people was surveyed to investigate psychological factors influencing climate action. The study used Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze predictors of climate change boredom and its impact on intention to act. The dataset, authored by Ruxandra Malina Petrescu-Mag and last updated in May 2026, is available under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between psychological factors and climate action intention based on survey constructs like beliefs and self-efficacy.
• Identifying predictors of climate change boredom based on variables such as age, living environment, and perceived health impacts.
• Testing structural equation models for environmental behavior using the provided PLS-SEM analysis framework.

Strengths

• The model predicts 66.8% of the variance in climate change boredom, indicating a strong explanatory model.
• Data is from a representative sample of the Romanian population, which may support generalizability within that context.
• The dataset is small (5.5 KB), facilitating quick download and initial exploration.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's geographic scope is limited to Romania, which may affect external validity.

Provenance

Source

figshare

Collection Method

Survey of a representative sample of Romanian people.

Freshness

Last updated 2026-05-27 17:22:50; freshness should be verified.

Geography

Romania