Table 4.

Multivariate logistic models: marginal effects Dependent variable = 1 if correct response

	(1)	(2)	(3)
Main effects of domain:
Financial domain	−0.032 (0.020) p = 0.121	-	-
Health domain	−0.161 (0.023) p = 0.000	-	-
Main effects of item:
Item = 2	−0.253 (0.022) p = 0.000	−0.299 (0.034) p = 0.000	−0.336 (0.037) p = 0.000
Item = 3	0.209 (0.020) p = 0.000	0.207 (0.030) p = 0.000	0.233 (0.048) p = 0.000
Item = 4	0.035 (0.022) p = 0.112	−0.006 (0.035) p = 0.857	−0.006 (0.039) p = 0.874
Core numeracy	0.126 (0.011) p = 0.000	0.128 (0.011) p = 0.000	0.070 (0.012) p = 0.000
Domain effects, fully interacted with item:
Financial domain × item 1	-	−0.006 (0.043) p = 0.888	−0.007 (0.047) p = 0.872
Financial domain × item 2	-	0.087 (0.045) p = 0.050	0.097 (0.046) p = 0.037
Financial domain × item 3	-	−0.095 (0.045) p = 0.037	−0.122 (0.057) p = 0.033
Financial domain × item 4	-	−0.144 (0.045) p = 0.001	−0.148 (0.051) p = 0.004
Health domain × item 1	-	−0.164 (0.044) p = 0.000	−0.180 (0.047) p = 0.000
Health domain × item 2	-	−0.173 (0.045) p = 0.000	−0.160 (0.080) p = 0.045
Health domain × item 3	-	−0.276 (0.052) p = 0.000	−0.326 (0.082) p = 0.000
Health domain × item 4	-	0.014 (0.050) p = 0.784	0.025 (0.055) p = 0.649
Additional covariates:
Female	-	-	−0.136 (0.025) p = 0.000
Composite cognitive score	-	-	0.081 (0.013) p = 0.000
Age	-	-	−0.006 (0.001) p = 0.000
Education = High school	-	-	0.094 (0.030) p = 0.002
Education = Some college	-	-	0.113 (0.035) p = 0.001
Education = College or more	-	-	0.265 (0.040) p = 0.000
Race = Black non-Hispanic	-	-	−0.164 (0.036) p = 0.000
Race = Other non-Hispanic	-	-	0.083 (0.105) p = 0.320
Hispanic	-	-	−0.115 (0.051) p = 0.026
Health is fair or poor	-	-	−0.050 (0.027) p = 0.066
Wald χ2	350.50	360.24	438.29
Sample n (individuals)	962	962	962
Sample n (observations)	3,848	3,848	3,848

Notes:

Means are weighted using analysis weights.

Results are presented as: marginal effect (standard error)

p-value associated with H₀: marginal effect= 0