Table 1.

Descriptives of perceived discrimination experiences pre- (n = 39) and post-COVID-19 outbreak (n = 41), factor loadings and communalities based on a principal components analysis (PCA) with oblimin rotation for 8 items (N = 80).

Items	Pre-COVID M (SD)	Post-COVID M (SD)	Component		Comm unality
			1	2
1. I think that people with a Dutch/Western cultural background have behaved in a negative way towards people with a Chinese background.	2.28(0.79)	2.80(0.75)	.799		.68
2. I don’t feel accepted by people with a Dutch/Western cultural background.	2.33(0.93)	2.85(0.88)	.835		.74
3. I feel people with a Dutch/Western cultural background have something against me.	2.03(0.63)	2.37(0.73)	.849		.67
4. I have been teased or insulted because of my Chinese cultural background.	2.51(1.10)	2.34(1.09)	.387	.325	.35
5. I have been threatened or attacked because of my Chinese cultural background.	1.77(0.84)	2.02(0.85)		.611	.59
6. In the Netherlands I experienced that I could not rent or buy a house/apartment because I have a Chinese cultural background.	1.49(0.82)	1.73(0.67)		.931	.74
7. I have (had) difficulty finding a job because I have a Chinese cultural background.	2.03(0.90)	2.27(0.87)		.605	.46
8. The healthcare that I and my family receive is worse than the healthcare that people with a Dutch/Western cultural background receive.	1.41(0.60)	1.85(0.76)		.709	.58

Extraction Method: Principal Component Analysis. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 10 iterations.

Note. Factor loadings < .3 are suppressed.