Table 3.

Estimation results from the health measurement model

Factor analysis submodel			Regression submodel
Parameter	Estimate	t-value	Parameter	Estimate	t-value
Intercepts (τi)			Regression coefficients (γ)
Bathing	0.004	0.1	a = (Age − 50)/10	−0.494	−10.3
Dressing (reference)	0	n.a.	a2	−0.004	−0.4
Eating	1.309	19.8	a3	−0.020	−4.2
Getting out of chair	−0.296	−3.6	Secondary education	0.777	9.0
Walking	−1.158	−10.0	Tertiary education	1.688	11.4
Getting out of the house	0.300	3.7	Household size	0.092	4.4
Using toilet	0.821	11.4	Underweight	−1.367	−4.5
Self-reported health	0	n.a.	Overweight	−0.020	−0.3
			Obese	−0.625	−7.6
Factor loadings (λi)			Severely obese	−1.673	−12.3
Bathing	−1.026	−14.5	Cigarettes now	−0.472	−11.2
Dressing (reference)	−1	n.a.	Cigarettes past	−0.161	−6.8
Eating	−0.401	−9.7	Drink alcohol	0.447	6.7
Getting out of chair	−0.808	−13.0	Race: white	0.537	4.3
Walking	−0.877	−11.5	Race: black	−0.104	−0.9
Getting out of the house	−0.866	−11.6	Missing education	1.214	7.8
Using toilet	−0.794	−11.3	Missing BMI	−1.202	−5.4
Self-reported health	−0.449	−13.2	Missing cigs now	−1.055	−2.9
			Missing cigs past	0.154	1.0
Thresholds for self-reported health			Constant	4.057	15.9
α1	−0.259	−4.9
α2	0.844	14.5	Residual s.d. ($\sqrt{\psi }$)	2.207	13.2
α3	2.197	31.0
α4	3.589	41.2

Note. n.a. = not applicable; sample size is 16,817.