TABLE 2.

Hierarchical Regression Analyses for Demographic, Psychiatric, and Cognitive Variables Predicting Cost of Mental Health Service During 24 Months (n = 56)

	B	Standard Error	Standard Beta	Test Statistic (df)	p
Variable
Step 1, demographic variables
Age	−0.003	0.010	−0.041	t(51) = −0.277	0.783
Education	−0.028	0.020	−0.197	t(51) = −1.528	0.133
Residence type	−0.178	0.138	−0.180	t(51) = −1.250	0.217
Ethnicity (white)	0.237	0.138	0.236	t(51) = 1.746	0.087
Step 2, demographic and clinical variables
Age	−0.009	0.011	−0.127	t(49) = −0.701	0.487
Education	−0.030	0.020	−0.206	t(49) = −1.580	0.121
Residence type	−0.233	0.146	−0.236	t(49) = −1.625	0.111
Ethnicity (white)	0.304	0.146	0.302	t(49) = 2.163	0.036
Psychiatric diagnosis	−0.046	0.138	−0.409	t(49) = −0.327	0.745
Total cage score	−0.049	0.037	−0.212	t(49) = −1.382	0.174
Step 3, Demographic and clinical variables including cognitive impairment status
Age	−0.014	0.010	−0.190	t(48) = −1.198	0.238
Education	−0.012	0.020	−0.081	t(48) = −0.788	0.435
Residence type	−0.120	0.142	−0.121	t(48) = −0.843	0.404
Ethnicity (white)	0.405	0.141	0.403	t(48) = 2.925	0.006
Psychiatric diagnosis	−0.082	0.130	−0.088	t(48) = −0.682	0.499
Total cage score	−0.062	0.034	−0.268	t(48) = −1.753	0.087
Cognitive impairment	0.376	0.135	0.401	t(48) = 2.811	0.007

Notes: Step 1, R² Δ = 0.13.

Step 2, R² Δ = 0.04.

Step 3, R² Δ = 0.13.