Table 3.

Exploratory factor analysis matrix of the C-SEAMS (n=374)

Number	Item	Component		Communality
		F1	F2	C2
3	When you take several different medicines each day?	0.756	0.016	0.693
4	When you take medicines more than once a day?	0.651	0.204	0.606
5	When you are away from home?	0.628	0.290	0.791
6	When you have a busy day planned?	0.587	0.001	0.734
8	When no one reminds you to take the medicine?	0.600	0.219	0.437
9	When the schedule to take the medicine is not convenient?	0.607	0.163	0.477
10	When your normal routine gets messed up?	0.687	0.042	0.530
13	When you are feeling sick (like having a cold or the flu)?	0.543	0.008	0.532
1	When you get a refill of your old medicines and some of the pills look different than usual?	0.221	0.738	0.572
2	When a doctor changes your medicines?	0.049	0.635	0.547
7	When they cause some side effects?	0.488	0.534	0.408
11	When you are not sure how to take the medicine?	0.184	0.558	0.800
12	When you are not sure what time of the day to take your medicine?	0.098	0.635	0.785
	Eigenvalue	6.064	1.643	–
	Percentage of variance	43.956	16.906	–

Notes: Principal components analysis is the extraction method used. Coefficients greater than 0.40 are retained for that factor.

Abbreviations: F1, common factor 1; F2, common factor 2; C-SEAMS, Chinese version of the Self-Efficacy for Appropriate Medication Use Scale.