Table 2.
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fixed Effectsa | Men | Women | bm≠w | Men | Women | m≠w | Men | Women | m≠w | Men | Women | m≠w | Men | Women | m≠w |
Constant | 1.321*** | 1.238*** | .788** | 1.576*** | † | 1.305*** | 1.224*** | 1.346*** | 1.263*** | .774** | 1.557*** | † | |||
Skin Color (ref., Light) | |||||||||||||||
Medium | −.198 | .318* | † | −.188 | .282* | † | −.192 | .320* | † | −.208 | .316* | † | −.193 | .285* | † |
Dark | .022 | .937*** | † | .070 | .875*** | † | .027 | .937*** | † | .010 | .941*** | † | .063 | .882*** | † |
Sociodemographic Factors | |||||||||||||||
Some College | .083 | .036 | .087 | .044 | |||||||||||
College or More | .018 | −.344** | † | .021 | −.324** | ||||||||||
Income | .013 | −.041 | .015 | −.039 | |||||||||||
Married | .246* | .185* | .252** | .185* | |||||||||||
Insurance | .292** | −.077 | † | .301** | −.081 | † | |||||||||
Chronic Burdens | .060 | .046 | .090 | .059 | |||||||||||
Discrimination | −.095 | −.159 | −.141 | −.150 | |||||||||||
Age | .081*** | .101*** | † | .081*** | .103*** | † | .082*** | .102*** | † | .079*** | .099*** | † | .081*** | .102*** | † |
Random Effects | |||||||||||||||
Level 1 Residual | 1.127*** | 1.195*** | 1.122*** | 1.197*** | 1.127*** | 1.195*** | 1.127*** | 1.194*** | 1.121*** | 1.197*** | |||||
Level 2 Intercept | 1.520*** | 1.694*** | 1.507*** | 1.664*** | 1.520*** | 1.691*** | 1.518*** | 1.691*** | 1.505*** | 1.660*** | |||||
N | 696 | 984 | 696 | 984 | 696 | 984 | 696 | 984 | 696 | 984 |
All models control for proportion of waves missing
‘m≠w’ indicates Chow tests for differences between men and women
p < 0.05,
p < 0.01,
p < 0.001
indicates a statistically significant (p<.05) difference in coefficients for men and women