Correction to: Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Anal
- PDF / 169,702 Bytes
- 3 Pages / 439.37 x 666.142 pts Page_size
- 32 Downloads / 173 Views
Correction to: Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis Mark D. Griffiths 1
& Amir H. Pakpour
2,3
& Mohammed A. Mamun
4,5
Accepted: 1 September 2020/ # Springer Science+Business Media, LLC, part of Springer Nature 2020
Correction to: Int J Ment Health Addiction https://doi.org/10.1007/s11469-020-00289-x 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
* Mark D. Griffiths [email protected] * Amir H. Pakpour [email protected] * Mohammed A. Mamun [email protected]; [email protected]
1
International Gaming Research Unit, Psychology Department, Nottingham Trent University, 50 Shakespeare Street, Nottingham NG1 4FQ, UK
2
Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Shahid Bahonar Blvd, Qazvin 3419759811, Iran
3
Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, Sweden
4
Undergraduate Research Organization, Savar, Dhaka, Bangladesh
5
Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh
International Journal of Mental Health and Addiction Table 1 Psychometric properties of the FCV-19S in item level Item #
Factor loadinga
DIF contrast across genderc,d
DIF contrast across age
FCV19S1 FCV19S2 FCV19S3 FCV19S4 FCV19S5 FCV19S6 FCV19S7
0.680 0.625 0.746 0.765 0.698 0.703 0.667
0.10 0.17 − 0.08 − 0.06 − 0.08 − 0.06 0.05
− 0.12 .00 0.00 0.16 0.10 − 0.28 0.15
a Based
on confirmatory factor analysis
c DIF
contrast > 0.5 indicates substantial DIF
d DIF
contrast across gender = difficulty for females−difficulty for males
contrast across age categories = difficulty for participants with older age (i.e., ≥ 26.53 years)−difficulty for participants with younger age (i.e., < 26.53 years)
e DIF
MnSq, mean square error; DIF, differential item functioning
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 (chisquare = 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.
Data Loading...
