Table 1.
Demographic Characteristics of the Sample
| ESEM (n = 7445) | Bifactor Modeling (n = 2373) | SEM (n = 9818) | |
|---|---|---|---|
| Age, Months | 119.15 (7.51) | 119.23 (7.52) | 119.17 (7.51) |
| Sex | |||
| Female | 3604 (48.41%) | 1185 (49.94%) | 4789 (48.78%) |
| Male | 3841 (51.59%) | 1188 (50.06%) | 5029 (51.22%) |
| Race/Ethnicity | |||
| Black | 1052 (14.13%) | 343 (14.45%) | 1395 (14.21%) |
| Hispanic | 1503 (20.19%) | 508 (21.41%) | 2011 (20.48%) |
| Other | 910 (12.22%) | 270 (11.38%) | 1180 (12.02%) |
| White | 3980 (53.46%) | 1252 (52.76%) | 5232 (53.29%) |
| Household Annual Income | |||
| <$5000 | 251 (3.37%) | 83 (3.50%) | 334 (3.40%) |
| $5000–$11,999 | 258 (3.47%) | 71 (2.99%) | 329 (3.35%) |
| $12,000–$15,999 | 168 (2.26%) | 58 (2.44%) | 226 (2.30%) |
| $16,000–$24,999 | 286 (3.84%) | 133 (5.60%) | 419 (4.27%) |
| $25,000–$34,999 | 399 (5.36%) | 126 (5.31%) | 525 (5.35%) |
| $35,000–$49,999 | 570 (7.66%) | 182 (7.67%) | 752 (7.66%) |
| $50,000–$74,999 | 939 (12.61%) | 302 (12.73%) | 1241 (12.64%) |
| $75,000–$99,999 | 992 (13.32%) | 338 (14.24%) | 1330 (13.55%) |
| $100,000–$199,999 | 2176 (29.23%) | 643 (27.10%) | 2819 (28.71%) |
| ≥$200,000 | 793 (10.65%) | 238 (10.03%) | 1031 (10.50%) |
| Missing | 613 (8.23%) | 199 (8.39%) | 812 (8.27%) |
| Parental Education | |||
| No degree | 372 (5.00%) | 119 (5.01%) | 491 (5.00%) |
| High school degree/GED | 888 (11.93%) | 288 (12.14%) | 1176 (11.98%) |
| Some college | 1196 (16.06%) | 393 (16.56%) | 1589 (16.18%) |
| Associate’s degree | 925 (12.42%) | 326 (13.74%) | 1251 (12.74%) |
| Bachelor’s degree | 2121 (28.49%) | 670 (28.23%) | 2791 (28.43%) |
| Master’s degree | 1470 (19.74%) | 444 (18.71%) | 1914 (19.49%) |
| Professional/doctoral degree | 473 (6.35%) | 133 (5.60%) | 606 (6.17%) |
Values are mean (SD) or n (%).
ESEM, exploratory structural equation modeling; SEM, structural equation modeling.