. 2020 Sep 22;18:68. doi: 10.1186/s12960-020-00509-4

Table 2.

Correlations between variables and intention to stay

	Mean	St. Dev.	1	2	3	4	5	6	7	8	9
1. Intention to stay	4.54	0.61	0.73
2. Work interference with personal life	3.77	0.87	− 0.32***	0.93
3. Personal life interference with work	2.40	0.82	− 0.14***	0.27***	0.80
4. Work-personal life enhancement	3.04	0.69	0.18***	− 0.51***	− 0.30***	0.69
5. Age (29 plus)^a	0.46	0.50	− 0.12**	0.24***	0.14***	− 0.03
6. Prior education (undergrad or greater)^a	0.59	0.49	− 0.13***	− 0.09**	− 0.08*	0.14***	0.18***
7. Previous career^a	0.49	0.50	− 0.04	0.23***	0.07	0.00	0.55***	0.14***
8. Has children^a	0.36	0.48	− 0.07	0.19***	0.26***	− 0.01	0.59***	0.05	0.44***
9. Married or living with a partner, or common-law^a	0.53	0.50	− 0.10**	0.12***	0.03	0.06	0.42***	0.16***	0.34***	0.43***
10. Post-clinical placement^a	0.50	0.50	− 0.21***	0.35***	− 0.04	− 0.15***	0.10**	0.01	0.01	0.03	0.01

Cronbach’s alphas are presented in italic font. n = 456

*p < .10

**p < .05

***p < .01

^aThese variables are binary variables, and as such, their means indicate the percentage of participants with a value equal to 1, where the reference categories of zero are presented in detail in Table 3. For the age variable, we coded 18 to 28 as 0 and 29+ as 1. For prior education, we assumed that having the choice of another career due to having a previous degree might have an impact on how intention to stay in the profession may vary between individuals. Therefore, a completed undergraduate or graduate degree was coded as 1 and all others were coded as 0