Table 3.

Demographic, professional, and practice characteristics as predictors of attitudes

Predictor variable	Utility of diagnosis			Standardized diagnostic assessment
	Univariate analyses		Multivariate analysis	Univariate analyses		Multivariate analysis
	B	R2	B	B	R2	B
Demographic characteristics
Age	0.005	0.004	−0.002	0.001	0.0002	0.001
Gender (female = 1)	−0.065	0.002	0.002	−0.051	0.002	−0.010
Ethnicity (minority = 1)	0.093	0.001	−0.056	−0.036	0.0004	−0.052
Professional characteristics
Highest degree (doctoral = 1)	0.20*	0.02	0.066	0.23*	0.04	0.15
Professional disciplinea		0.049			0.081
Psychologist (1) vs. Psychiatrist (0)	−0.32*		−0.25*	0.28*		0.36*
Psychologist (1) vs. MFT (0)	0.12		0.081	0.39*		0.30*
Psychologist (1) vs. social Worker (0)	0.087		0.090	0.36*		0.29*
Psychologist (1) vs. counselor (0)	0.094		0.090	0.29*		0.20*
Psychiatrist (1) vs. MFT (0)	0.44*		0.33*	0.10		−0.057
Psychiatrist (1) vs. social worker (0)	0.41*		0.34*	0.075		−0.066
Psychiatrist (1) vs. counselor (0)	0.41*		0.34*	0.012		−0.15
MFT (1) vs. social worker (0)	−0.035		0.009	−0.029		−0.009
MFT (1) vs. counselor (0)	−0.029		−0.005	−0.092		−0.096
Counselor (1) vs. social worker (0)	−0.006		0.003	0.064		0.087
Practice characteristics
Private practice (1) vs. other settings (0)	−0.22*	0.022	−0.16*	−0.12*	0.012	−0.17*
Low income caseload (>25% = 1)	0.11	0.006	0.015	0.036	0.001	0.036
Ethnic minority caseload (>25% = 1)	0.11	0.006	0.029	0.047	0.002	0.021

^*P < 0.001

^aThe analyses for professional discipline were run multiple times, changing the group that was treated as the reference group, in order to compare all possible pairs of disciplines to one another