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. 2021 Jul 14;18(14):7493. doi: 10.3390/ijerph18147493

Table 3.

Results of the exploratory factor analysis.

Factor Item Factor Loading a Eigenvalue VE (%) CVE (%) Cronbach’s α
Knowledge subscale 0.532 b
Nature of the disease 1 0.781 4.219 12.409 12.409
2 0.534
Signs and symptoms 3 0.744 2.693 7.922 20.331
4 0.651
Diagnosis 5 0.657 2.545 7.485 27.816
6 0.854
Medical management 7 0.554 2.235 6.575 34.391
8 0.677
9 0.742
PUI management and quarantine 10 0.751 1.678 4.963 39.326
11 0.823
Precautionary strategy 12 0.851 1.585 4.663 43.989
13 0.820
Attitudes subscale 0.720
Beliefs about COVID-19 prevention 14 0.897 1.541 4.531 48.521
15 0.963
16 0.901
Beliefs about healthcare provider role 17 0.496 1.481 4.355 52.875
18 0.810
19 0.731
20 0.701
Practices subscale 0.851
Personal hygiene practices 21 0.716 1.400 4.117 56.992
22 0.748
23 0.593
24 0.605
25 0.561
Restricting behavior 26 0.587 1.296 3.811 60.803
27 0.512
28 0.778
29 0.781
30 0.651
31 0.680
32 0.517
33 0.621
34 0.694

VE, variance explained; CVE, cumulative variance explained; PUI, person under investigation. a Extraction method: principal component analysis. Rotation method: varimax with Kaiser normalization. Factor loading cut-off: >0.40. b Kuder-Richardson-20 coefficient.