Table 2.

Exploratory factor analysis

	Factor loadings
	1	2	3
Subscale 1: Attitudes and Beliefs
1. I enjoy QI	0.212	0.644	0.101
2. I am interested in QI	0.110	0.795	–
3. I understand the role QI plays in the health system	0.189	0.703	–
4. QI plays an important role in strengthening systems, such as healthcare	–	0.842	–
5. I value QI training as part of my professional development	−0.140	0.971	–
6. I want to participate in QI initiatives as a health professional	–	0.744	0.124
7. Applications of QI theory and methodologies can help make change to a system	–	0.931	–
8. Using QI in the real world will make improvements	–	0.878	–
9. I understand the rationale for QI in the real world	–	0.973	–
Subscale 2: Knowledge of QI
1. QI theory	–	0.108	0.798
2. How QI is different than research	–	–	0.475
3. Systems thinking	−0.124	−0.210	0.997
4. 6 dimensions of quality	–	0.124	0.676
5. Understanding processes within a system	–	–	0.812
6. The Model for Improvement	0.148	0.148	0.601
7. PDSA cycles	–	–	0.714
8. How to measure the impact of a change	0.484	–	0.133
9. How change links to improvement	0.280	0.437	0.213
Subscale 3: QI Skills
1. Understanding quality gaps	0.934	–	–
2. Identifying quality gaps	0.955	–	−0.168
3. Approach quality improvement projects	0.842	–	–
4. Understand root causes of quality gaps	0.693	–	0.226
5. Identifying an area for improvement	0.937	–	−0.192
6. Application of evidence and best practices to the real world	0.743	–	0.212
7. Writing an aim statement	0.945	–	−0.165
8. Using tools to identify areas for improvement	0.921	–	–
9. Using the Model for Improvement	0.935	–	0.114
10. Using PDSA cycles to plan and test a change	0.894	–	–
11. Designing an intervention or change	0.878	–	–
12. Use a family of measures to evaluate the impact of a change	0.783	–	0.140
Proportion of variance	0.323	0.224	0.140
Variance component %	32.3%	22.4%	14.0%

Extraction method: Maximum likelihood estimation with promax oblique minimum rotation