. 2020 Mar 18;8(1):62. doi: 10.3390/healthcare8010062

Table 3.

Factor analysis with maximum likelihood (3-factor structure model) (N = 118).

Factors (Fs)	Items					Mean (± SD)		Factor 1	Factor 2	Factor 3
F1: Implications for Having an AD	5. I think my family would want me to have an advance directive.					2.97 (± 0.67)		0.72 *	−0.01	−0.08
	6. Making my end of life treatment wishes clear with an AD would keep my family from disagreeing over what to do if I were very sick and unable to decide for myself.					2.99 (± 0.58)		0.57 *	−0.14	−0.02
	8. Making my end of life treatment wishes clear with an advance directive would help to prevent guilt in my family.					2.84 (± 0.61)		0.52 *	0.10	−0.01
	12. My family wants me to have an AD.					2.73 (± 0.69)		0.72 *	−0.03	0.09
	13. Having an AD would make sure that I get the treatment at the end of my life that I do want.					2.91 (± 0.60)		0.85 *	0.04	0.02
	14. I trust one of my family or friends to make treatment decisions for me if I cannot make them myself.					3.02 (± 0.60)		0.45 *	0.01	0.17
	15. It is better to make an advance directive when you are healthy.					3.05 (± 0.67)		0.57 *	0.13	0.01
F2: Opportunity for Treatment Choices	1. I have choices about the treatment I would receive at the end of my life.					3.05 (± 0.68)		0.48 *	0.75 *	0.01
	2. I would be given choices about the treatment I would receive at the end of my life.					2.97 (± 0.67)		0.47 *	0.82 *	−0.01
	3. My doctor would include my concerns in decisions about my treatment at the end of my life.					2.97 (± 0.63)		−0.01	0.58 *	0.55 *
F3: Family Perspectives on ADs	4. If I could not make decisions, my family would be given choices about the treatment I would receive.					3.08 (± 0.60)		0.02	−0.04	0.61 *
	10. Having an AD would prevent costly medical expenses for my family.					3.07 (± 0.75)		0.31	−0.02	0.49 *
	11. Having an AD would make sure that my family knows my treatment wishes.					2.99 (± 0.62)		0.33	0.02	0.59 *
	Information criteria: Bayesian (BIC) = 2455.41					Eigen values		5.22	1.72	1.23
	Fit Indices from EFA Model	χ ²	df	p	CFI	TLI	SRMR	RMSEA	$p$ (RMSEA < 0.05)	RMSEA 90% CI
	Fit Indices from EFA Model	70.04	42	0.004	0.96	0.92	0.04	0.08	0.09	0.04, 0.11

Note. AD = advance directives, EOL = end-of-life, EFA = exploratory factor analysis, CFI = comparative fit index, TLI = Tucker-Lewis index, SRMR = standardized root mean square residual, RMSEA = root mean square error of approximation, and CI = confidence interval. * Significant at 0.05 level.