Have a personal or library account? Click to login
On the Measurement of Climate Change Anxiety: French Validation of the Climate Anxiety Scale Cover

On the Measurement of Climate Change Anxiety: French Validation of the Climate Anxiety Scale

Open Access
|Mar 2022

Figures & Tables

Table 1

Comparison of three CFA Models (Study 1).

MODELSATORRA- BENTLER χ2DFSRMRRMSEARMSEA 90% CICFITLIAICECVI
4-Factor428.53 **203.07.06.057–.074.88.8716184.171.97
2-Factor149.04**64.05.07.061–.093.92.919134.790.84
1-Factor184.40**65.05.09.075–.106.89.879178.170.98

[i] Note: 4-Factor = four-factor model of the 22-item scale; 2-Factor = two-factor model of the 13-item scale; 1-Factor = single-factor model of the 13-item scale. df = degree of freedom; CI = confidence interval; SRMR = Standardized Root Mean Square Residual; RMSEA = Root Mean Square Error of Approximation; CFI = Comparative Fit Index; TLI = Tucker Lewis Index; AIC = Akaike Information Criterion; ECVI = Expected Cross-Validation Index. The best fitting model is shown in bold. **p < .01.

Table 2

Correlations between the Climate Change Anxiety (sub)scale and other psychological constructs (values reported between brackets denote the 95% confidence intervals of the correlations).

CEIFIBDIGADEID
CAS (13-item).95**[.94–.96]89**[.87–.91]30**[.18–.39].02[–.09–.12].34**[.23–.43]
CEI (Factor 1).73**[.68–.78].28**[.17–.38].05[–.05–.16].34**[.23–.43]
FI (Factor).73**[.68–.78].27**[.16–.37]–.03[–.15.–07].29**[.18–.39]
EX (Factor 3).43**[.33–.52].37**[.27–.46].18[.07–.29].03 [–.07–.14].33**[.00–.22]
BE (Factor 4).43**[.34–.52].41**[.31–.50].10 [-.00–.21].11 [.00–.22].29**[.18–.39]

[i] Note: CEI = cognitive-emotional impairments; FI = Functional impairments; EX = Personal experience of climate change; BE = Behavioral Engagement; BDI = Beck depression inventory. GAD = general anxiety disorders; EID = environmental identity; CAS = climate anxiety scale.

* p < .05 (corrected for multiple comparisons using the Benjamini-Hochberg procedure).

Table 3

Comparison of three CFA Models (Study 2).

MODELSATORRA-BENTLER χ2DFSRMRRMSEARMSEA 90% CICFITLIAICECVI
4-Factor962.74**203.07.06.063–.072.86.8452084.201.28
2-Factor390.48**64.05.08.076–.092.89.8731170.330.60
1-Factor542.26**65.06.10.093–.109.84.8131355.910.80

[i] Note: df = degrees of freedom; CI = confidence interval; SRMR = Standardized Root Mean Square Residual; RMSEA = Root Mean Square Error of Approximation; CFI = Comparative Fit Index; TLI = Tucker Lewis Index; AIC = Akaike Information Criterion; ECVI = Expected Cross-Validation Index. The best fitting model is shown in bold. ** p < .01.

DOI: https://doi.org/10.5334/pb.1137 | Journal eISSN: 0033-2879
Language: English
Submitted on: Oct 27, 2021
|
Accepted on: Feb 23, 2022
|
Published on: Mar 22, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Camille Mouguiama-Daouda, M. Annelise Blanchard, Charlotte Coussement, Alexandre Heeren, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.