Not exact matches
Descriptive data (eg, maternal age, ethnicity, parity, and infant birth
weight) and information on SIDS risk factors (eg, history of maternal smoking during pregnancy) were collected by interview
at the time of
enrollment.
Participants in all three cohorts reported height in inches
at enrollment and current
weight in pounds on biennial questionnaires.
But
weighting each district by its
enrollment shows that an estimated 21 percent of all students
at these districts opted out.
These statistics are
weighted by the full - time equivalent undergraduate
enrollment at each institution.
[xi]
At the institution level (
weighted by
enrollment), the correlation between average SAT / ACT scores and the mobility rates of low - income students is 0.65 for public and private, non-profit institutions combined (0.58 for publics and 0.71 for privates).
Theme may be important too; looking
at the table above, we can see that the themes with the highest percentage of minority students, character education *, college prep, and career prep, enroll 48.5 %, 43.5 %, and 43.1 % Hartford students, respectively, while the themes with the lowest percentage of minority students, early childhood *, STEM, and arts, enroll 24.8 %, 35.7 %, and 39.4 % Hartford students respectively (
weighted averages based on total school
enrollment).
Allowance of
weighted lotteries /
enrollment systems for charters so they can give extra «
weight» to the most
at - risk students in their communities and increase the likelihood of admission for those students.
Baseline covariates included in regression models were site of
enrollment (hospital or office), age of child
at interview, and characteristics of the mother (age, education, race / ethnicity, employment), father (employment), family (marital status / father in household, number of siblings, owned home, income), and infant (low birth
weight, source of payment for care).