Correction to: Int J Ment Health Addiction
While carrying out some pooled analyses on various datasets concerning the psychometric properties of the Fear of COVID-19 Scale (FCV-19S; Ahorsu et al. 2020), we found some errors reported in the original publication of the Bangla version (Sakib et al. 2020). These errors do not materially change any of the main findings reported but we would like the errors to be made public.
The confirmatory factor analysis (CFA) was actually analyzed using lavaan package in R software (Rosseel et al. 2015) rather than MPLUS 8.0 as was previously reported. Also, the estimator was the diagonally weighted least squares (DWLS) instead of the diagonally weighted least squares (WLSMV). The DWLS is recommended to be a good estimator that takes the consideration of the ordinal nature of the data (i.e., 5-point Likert scale). The results indicated that the single-factor structure of the Bangla FCV-19S fitted well with the data (chi-square = 368.327, df = 14, comparative fit index = 0.990, Tucker–Lewis index = 0.985, root mean square of error approximation = 0.054, and standardized root mean square residual = 0.047). Factor loadings were ranged from 0.67 to 0.77 (Table 1). The average variance extracted (AVE) and composite reliability (CR) were then corrected as follows: AVE value was marginal (AVE = 0.49) and CR value was above the acceptable threshold level (CR = 0.87).
We would also like it to be noted there were 12 individuals (0.14%) identified as third gender. We had omitted them in Rasch analysis to make easier comparisons across subgroups. Therefore, Rasch analysis was performed on 8538 individuals. We thus corrected the differential item functioning (DIF) across age and gender.
The original paper also erroneously reported a test-retest reliability coefficient but no test-retest was carried out on this particular dataset. The dataset is available at: https://osf.io/3b4xz/?view_only=9d22a1e56b9c47488e688d14bb50f16c
Ahorsu, D. K., Imani, V., Lin, C. Y., Timpka, T., Broström, A., Updegraff, J. A., Årestedt, K., Griffiths, M. D., & Pakpour, A. H. (2020). Associations between fear of COVID-19, mental health, and preventive behaviours across pregnant women and husbands: An actor-partner interdependence modelling. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00340-x.
Rosseel, Y., Oberski, D., Byrnes, J., Vanbrabant, L., Savalei, V., Merkle, E., ... & Barendse, M. (2015). Package “lavaan”: Latent variable analysis. R Package. Available online at: http://lavaan.org.
Sakib, N., Bhuiyan, A. I., Hossain, S., Al Mamun, F., Hosen, I., Abdullah, A. H., ... & Mamun, M. A. (2020). Psychometric validation of the Bangla Fear of COVID-19 Scale: Confirmatory factor analysis and Rasch analysis. International Journal of Mental Health and Addiction. Advance online publication. https://doi.org/10.1007/s11469-020-00289-x.
Sources of funding are acknowledged.
Conflict of Interest
The authors declare that they have no conflict of interest.
All procedures performed in this study involving human participants were in accordance with the ethical standards of University’s Research Ethics Board and with the 1975 Helsinki Declaration.
Informed consent was obtained from all participants.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Griffiths, M.D., Pakpour, A.H. & Mamun, M.A. Correction to: Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis. Int J Ment Health Addiction (2020). https://doi.org/10.1007/s11469-020-00399-6