European Social Survey Climate Attitudes and Human Values Across 23 Countries

A tutorial document illustrating the application of Mixture Multigroup Structural Equation Modeling (MMG-SEM) to cross-national survey data. The analysis uses European Social Survey (ESS) Round 8 data to examine relations between human values, climate change beliefs, and climate policy support across 23 countries. The document, authored by Meijun Yao and last updated in April 2026, is a 725.3 KB DOCX file.

Use Cases

• Tutorial for applying Mixture Multigroup Structural Equation Modeling (MMG-SEM) based on the described methodology
• Comparative analysis of how human values influence climate policy support across nations based on the study's findings
• Research on clustering countries by patterns in value-attitude relationships as described in the results
• Study of mediation effects of climate change beliefs on the value-policy support link as outlined in the analysis

Strengths

• Provides a step-by-step tutorial for a novel statistical method (MMG-SEM) where practical guides are limited
• Analysis is based on a recognized international survey source (European Social Survey Round 8)
• Covers data from 23 countries, allowing for cross-national comparison
• Released under a permissive CC-BY-4.0 license

Limitations

• The primary file is a 725.3 KB DOCX tutorial document; the underlying survey dataset itself is not directly included
• Column-level documentation for the ESS data is absent; field semantics must be inferred or sourced separately
• Row count for the analyzed data is unknown, which may limit suitability assessment for direct reuse

Provenance

Source

European Social Survey (ESS) Round 8

Collection Method

Secondary analysis of international survey data using Mixture Multigroup Structural Equation Modeling.

Time Range

Temporal coverage of the underlying ESS Round 8 data is not specified in the input.

Freshness

Last updated 2026-04-10 05:29:15

Geography

Analysis covers 23 countries (specific countries not listed in the input).