TABLE 2.

Multiple regression analyses for variables predicting depersonalisation.

Model	R	R2	ΔR2	SE	F	df1	df2	p
1a	0.26	0.07**	0.07**	5.34	7.86	1	108	0.01
2b	0.46	0.21**	0.14**	4.94	14.19	2	107	0.00
3c	0.50	0.25**	0.04*	4.83	11.79	3	106	0.00
4d	0.51	0.26**	0.01	4.83	9.06	4	105	0.00
5e	0.51	0.26**	0.01	4.83	7.46	5	104	0.00
6f	0.54	0.30**	0.03*	4.75	7.19	6	103	0.00
7g	0.58	0.33**	0.04*	4.65	7.22	7	102	0.00

Source: Authors’ own work

N = 110.

R, correlation coefficient; R², coefficient of determination; ΔR², R squared change; SE, standard error of the estimate; F, F-ratio; Df1, degrees of freedom; Df2, degrees of freedom; P, significance.

^a, Predictors: (Constant), Workload.

^b, Predictors: (Constant), Workload, interpersonal conflict at work.

^c, Predictors: (Constant), Workload, interpersonal conflict at work, organisational constraints.

^d, Predictors: (Constant), Workload, interpersonal conflict at work, organisational constraints, age.

^e, Predictors: (Constant), Workload, interpersonal conflict at work, organisational constraints, age, death and dying-related stress.

^f, Predictors: (Constant), Workload, interpersonal conflict at work, organisational constraints, age, death and dying-related stress, HIV and AIDS stigma by association.

^g, Predictors: (Constant), Workload, interpersonal conflict at work, organisational constraints, age, death and dying-related stress, HIV and AIDS stigma by association, job status.

^*, p < 0.05;

^**, p < 0.01