Table 1.
Participants’ demographic data (n = 1114).
| Factor Levels | n | % Female | M age | SD age |
|---|---|---|---|---|
| Overall | 1114 | 53.9 | 35.9 | 15.16 |
| Gender | ||||
| Female | 601 | 35.2 | 15.31 | |
| Male | 457 | 37.5 | 14.65 | |
| Other | 56 | 30.9 | 16.21 | |
| Income | ||||
| Low | 229 | 60.3 | 25.2 | 12.44 |
| Medium | 706 | 54.7 | 37.7 | 14.31 |
| High | 146 | 44.5 | 45.7 | 12.46 |
| Missing | 33 | 57.6 | 26.7 | 16.13 |
| Education | ||||
| Less than high school High school graduate or GED Completed vocational school or college Some vocational school or college Some graduate school Master’s degree Doctoral degree Missing |
104 102 370 48 108 280 101 1 |
69.2 48.0 55.9 60.4 55.6 53.2 33.7 100 |
16.0 24.6 37.9 30.8 34.4 41.7 48.7 13.0 |
3.6 13.5 14.6 18.4 12.6 10.4 10.2 NA |
| Living environment | ||||
| Urban/Suburban | 1026 | 54.4 | 36.42 | 15.14 |
| Rural | 86 | 48.8 | 29.51 | 13.97 |
| Missing | 2 | 50 | 43.00 | 14.14 |
Note: The variable income was categorized into three groups in response to the question, “compared with the average income in your country, which one would you say is your household income?”; GED = General Educational Development. NA = nonavailable.