Psychometric properties of the Fear of COVID-19 Scale: A response to de Medeiros et al. "Psychometric properties of the Brazilian version of the Fear of COVID-19 Scale (FCV-19S)"

Students are at risk? Elucidating the impact of health risks of COVID-19 on emotional exhaustion and academic performance: role of mindfulness and online interaction quality

Although previous online learning studies have looked at how student outcomes are influenced in different settings, this study is unique in that it looks at the role of COVID-19 as a particular stressor. This study discussed how students' perceptions of health risks of COVID-19 (PHRC) influenced their academic performance through emotional exhaustion. This study also looked at how mindfulness and online interaction quality (OIQ) affected PHRC's direct effects on exhaustion, as well as PHRC's indirect effects on academic performance via exhaustion. The data for the current study were collected from 336 students in three waves who were studying online during COVID-19. The results through structural equation modeling (SEM) revealed that PHRC influenced academic performance. The results further revealed that mindfulness and OIQ attenuated the direct effects of PHRC on emotional exhaustion as well as indirect effects on academic performance through emotional exhaustion. This study provides some novel implications for practice and research.

Parallel exploratory and confirmatory factor analysis of the Hungarian Fear of COVID-19 Scale in a large general population sample: a psychometric and dimensionality evaluation

BACKGROUND

This study aims to confirm validity and reliability of the Hungarian version of Fear of COVID-19 Scale (FCV-19S) and evaluate its dimensional structure.

METHODS

Cross-sectional survey was carried out in 2021 among Hungarian general population. In addition to classical test theory methods, construct dimensionality of FCV-19S was assessed using EFA with principal axis factoring method and CFA with diagonally-weighted least squares estimation. Fear score was compared in age, gender, educational level, vaccination and infection subgroups.

RESULTS

Significant differences in FCV-19S mean scores were observed between three subgroups (age, gender, vaccination). Items showed good internal consistency (Cronbach α = 0.88). EFA identified two latent factors (eig = 4.2 and 1.02), though parallel analysis supports the one-factor model. The two-dimensional structure was confirmed by CFA, items 3,4,6,7 correlated with Factor 1 (physiological fear), items 1,2,5 with Factor 2 (emotional fear).

CONCLUSION

The Hungarian version of FCV-19S seems valid and reliable. The EFA identified two-latent factors (emotional and physiological fear), that was confirmed by CFA. The two-factor structure had better model fit, though its' acceptance is limited.