Table 2

Mixed effects binary logistic regression parameter estimates for the experience of “any justiciable problem”

		Z	p	Odds ratio	95% CI for odds ratio
		Z	p	Odds ratio	Lower	Upper
*Random effect variance term, expressed as a standard deviation; †β = 0.04, SE = 0.12, intracluster correlation = 0.37; ‡one tailed p value (all fixed effects p values are two tailed).
Fixed effects
Ethnicity	White	0.47	0.64	1.09	0.75	1.58
Gender	Male	−0.19	0.85	0.99	0.85	1.14
Use of transport	Yes	1.59	0.11	1.25	0.95	1.65
Long term illness or disability	Yes	8.82	<0.001	2.46	2.01	3.00
Receiving benefits	No	−3.62	<0.001	0.63	0.49	0.81
Academic qualifications	No	−8.42	<0.001	0.39	0.31	0.48
Economically active	No	0.50	0.62	1.06	0.85	1.32
Housing type	Semi	−0.26	0.80	0.97	0.76	1.24
	Terrace	2.04	0.04	1.32	1.01	1.72
	Flat	3.80	<0.001	2.04	1.41	2.94
Family type	Couple children	3.29	0.001	1.49	1.18	1.89
	Lone parent	6.59	<0.001	5.01	3.10	8.10
	Single no children	2.51	<0.012	1.37	1.07	1.74
Tenure	Own	−0.28	0.78	0.94	0.60	1.46
	Mortgage	2.78	0.005	1.85	1.20	2.86
	Rent public	3.24	0.001	2.20	1.37	3.55
	Rent private	3.63	<0.001	2.54	1.53	4.20
Equivalised income		3.31	<0.001	1.04	1.02	1.07
Constant		−4.87	<0.001	4.00	1.95	8.21
Random effects*
Household†		3.31	<0.001‡