Newly graduated Australian psychologists’ interest and confidence in psychological approaches for psychosis: what role can psychology training providers play in increasing access to psychological interventions for psychosis?

Figures & data

Figure 1. Participant flow-chart.

Table 1. Sociodemographic characteristics of participants (N = 118).

Characteristic
	n	%
Age
23–32	86	72.90
33–42	18	15.30
43–52	11	9.30
53–62	3	2.50
Gender
Female	102	86.40
Male	14	11.90
Non-Binary	2	1.70
State
QLD	33	28.00
VIC	31	26.30
NSW	26	22.00
WA	12	10.20
ACT	9	7.60
TAS	4	3.40
NT	2	1.70
SA	1	0.80
Degree
Master of Clinical Psychology (MCP)	54	45.80
Master of Professional Psychology (MPP)	48	40.70
Combined PhD/Master of Clinical Psychology	2	1.70
Other^a	14	1.90

^aIncluded the following degree types: Master of Educational and Developmental Psychology (n = 6); Master of Community Psychology (n = 2); Master of Counselling Psychology (n = 2); Doctor of Philosophy (Clinical) (n = 3).

Table 2. Descriptive statistics and significance tests across MPP and MCP degrees (N = 114).

Variable (Possible range)	Overall		MPP		MCP		Z Value	P Value
	M	IQR	M	IQR	M	IQR
Hours of Training	3	4	2	4	3	5	−1.89	.058
Interest (1–10)	5.5	4	6	2	5	4	−2.04*	.041
Confidence (1–10)	3	3	3	2	4	4	−1.92	.055
Social Distance (0–21)	9	6	9	6	9	6	−.64	.525
Therapeutic Optimism (10–50)	40	6	40	6	40	6	−.81	.418

M = Median; IQR = Interquartile Range; MPP = Master of Professional Psychology; MCP = Master of Clinical Psychology; Z value = Range of Mann–Whitney U test across the 5 datasets; *indicates a significant Z value.

Table 3. Multiple regression analysis predicting interest from IVs.

Interest	B	95% CI		SE B
		LL	UL		β	R^2	∆ R^2	P
Model						.19	.16	<.001
Constant	3.910	−.53	8.35	2.24				.084
Personal experience	.117	−.33	.56	.05	.05			.746
Intervention delivery	.081	−.98	1.14	.53	.02			.879
Training hours	−.015	−.10	.08	.05	−.03			.603
Social Distance	−.216	−.34	−.09	−.34	−.34			<.001
Therapeutic Optimism	.080	−.02	.18	.16	.16			.108

Model = “Enter” method in SPSS Statistics; B = unstandardised regression coefficient; CI = confidence interval; LL = lower limit; UL = Upper limit; SE B = Standardised error of the coefficient; β = standardised coefficient; R² = coefficient of determination; ∆ R² = Adjusted R².

Table 4. Multiple regression analysis predicting confidence from IVs.

Confidence	B	95% CI		SE B
		LL	UL		β	R^2	∆ R^2	P
Model						.32	.29	<.001
Constant	.762	−.16	1.69	.47				.105
Training hours	.026	.01	.04	.01	.23			.007
Intervention delivery	.415	.20	.64	.11	.33			<.001
Personal life	.079	−.01	.17	.05	.14			.092
Social distance	−.018	−.04	.01	.01	−.13			.155
Therapeutic optimism	.012	−.01	.03	.01	.10			.257

Model = “Enter” method in SPSS Statistics; B = unstandardised regression coefficient; CI = confidence interval; LL = lower limit; UL = Upper limit; SE B = Standardised error of the coefficient; β = standardised coefficient; R²= coefficient of determination; ∆ R² = Adjusted R².

Data availability statement

The data that support the findings of this study are available from the corresponding author, RB, upon reasonable request.