> 705 participants and their families over 3 decades, from the time participants were infants until they were approximately 30 years old (Mage = 28.6, SD = 1.2; 78.7% White, non-Hispanic, 53.6% female, 46.4% male).
It looks like an a fairly culturally homogeneous pannel, it would be interesting to also have a breakdown on religion (especially due to the communal effects) and income.
The income data:
------------------------------
Student status
Part-time 34 (4.9%)
Full-time 61 (8.7%)
Employment
Part-time, for pay 85 (12.1%)
Full-time, for pay 516 (73.7%)
Individual income
<US $10,000 78 (11.1%)
US $10,000–$29,999 167 (23.9%)
US $30,000–$49,999 179 (25.6%)
US $50,000–$99,999 213 (30.4%)
US $100,000+ 63 (9.0%)
Household income
<US $20,000 75 (10.8%)
US $20,000–$49,999 163 (23.5%)
US $50,000–$99,999 248 (35.7%)
US $100,000–$149,999 126 (18.1%)
US $150,000+ 83 (11.9%)
> 705 participants and their families over 3 decades, from the time participants were infants until they were approximately 30 years old (Mage = 28.6, SD = 1.2; 78.7% White, non-Hispanic, 53.6% female, 46.4% male).
It looks like an a fairly culturally homogeneous pannel, it would be interesting to also have a breakdown on religion (especially due to the communal effects) and income.