Table 3.
Exploratory factor analysis for the COVID-19 Infection Fear Scale (N=501)
Item | One-factor model |
Two-factor model |
|||
---|---|---|---|---|---|
F1 | Uniqueness | F1 | F2 | Uniqueness | |
1 | 0.776 | 0.398 | 0.600 | 0.231 | 0.387 |
2 | 0.804 | 0.353 | 0.782 | 0.089 | 0.281 |
3 | 0.800 | 0.359 | 0.965 | -0.081 | 0.175 |
4 | 0.811 | 0.342 | 0.861 | 0.024 | 0.229 |
5 | 0.801 | 0.359 | 0.332 | 0.523 | 0.365 |
6 | 0.679 | 0.539 | 0.094 | 0.637 | 0.498 |
7 | 0.788 | 0.380 | 0.003 | 0.859 | 0.258 |
8 | 0.762 | 0.419 | -0.078 | 0.919 | 0.253 |
9 | 0.717 | 0.485 | 0.132 | 0.641 | 0.450 |
SS loading | 5.36 | 3.07 | 3.03 | ||
% of variance | 59.6 | 34.2 | 33.7 | ||
Cumulative % | 59.6 | 34.2 | 67.8 | ||
χ2 (df) | 513(27) | 107(19) | |||
RMSEA | 0.190 (0.176–0.204) | 0.095 (0.079–0.114) | |||
TLI | 0.800 | 0.949 | |||
BIC | 0.345 | -11.6 |
The analysis was conducted using Set 1. “Principal axis factoring” extraction method was used in combination with a “oblimin” rotation. SS, sum of squares; RMSEA, root mean square error of approximation; TLI, Tucker Lewis index; BIC, Bayesian Information Criterion