Data · dataset · 2026
Analysis Code for Structural Equation Modeling of Subjective Well-Being, Eco-Anxiety, and Pro-Environmental Behavior in Wartime Ukraine
Listed in Teesside University Research Data Repository
This repository contains the R code and analysis outputs used to reproduce the analyses reported in the manuscript on subjective well-being, eco-anxiety, and pro-environmental behavior in wartime Ukraine.
Description
The corresponding de-identified data are available separately at DOI: 10.17632/6sr6fhmsj4.1. The analyses include descriptive statistics, item-level reliability estimation, model-based composite reliability, Spearman correlations with multiple-comparison adjustments, primary and complementary structural equation models with bootstrapped confidence intervals, nested model comparisons, ordinal confirmatory factor analysis of pro-environmental behavior, robustness analyses using MLR estimation, demographic covariates, and reverse-order specifications, as well as power and Monte Carlo sensitivity analyses.
The analyses were conducted in R 4.5.1 using the lavaan, semTools, and psych packages.
Links
Where it is published
- DOI doi.org/10.17632/zd4nszsnnh.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Psychology & Behavioral Science · Social Science
- Inferred from text
- Environmental engineering 72%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/zd4nszsnnh.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4011 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |