Table 1: Intersectional Models of Perceived Prejudice (Muslim Respondents)
Characteristic	Model 1: Age & Gender			Model 2: Ethnicity
	Beta	95% CI	p-value	Beta	95% CI	p-value
Age_scaled	-0.01	-0.04, 0.02	0.4	-0.01	-0.03, 0.01	0.3
Gender_recoded
Female	—	—		—	—
Male	0.20	-0.22, 0.62	0.3	0.21	-0.22, 0.63	0.3
Education_labelled
No formal education	—	—		—	—
Primary school	-2.3	-4.8, 0.24	0.075	-2.6	-5.1, 0.03	0.052
Secondary school, high school, NVQ levels 1 to 3, etc.	-0.87	-2.2, 0.48	0.2	-1.0	-2.4, 0.34	0.14
University degree or equivalent professional qualification, NVQ level 4, etc.	-0.94	-2.3, 0.40	0.2	-1.1	-2.5, 0.25	0.11
Higher university degree, doctorate, MBA, NVQ level 5, etc.	-0.61	-1.9, 0.71	0.4	-0.84	-2.2, 0.51	0.2
Still in full time education	-0.36	-1.9, 1.2	0.7	-0.69	-2.4, 0.98	0.4
Don't know	-2.2	-4.2, -0.12	0.038	-2.4	-4.5, -0.33	0.023
Age_scaled * Gender_recoded
Age_scaled * Male	0.00	-0.03, 0.04	0.8
Ethnicity_labelled
White				—	—
Mixed				-0.61	-1.8, 0.62	0.3
Asian				-0.05	-0.56, 0.45	0.8
Black				-0.46	-1.2, 0.24	0.2
Other ethnic group				-0.28	-1.2, 0.64	0.5
Prefer not to answer				0.89	-0.49, 2.3	0.2
Abbreviation: CI = Confidence Interval
The outcome variable for both models is the ‘Perceived Prejudice’ score (1-5), where a higher score indicates a greater perceived level of prejudice against Muslims.