Not exact matches
Although we addressed this issue in several ways, including the use of a natural experimental design exploiting the quasi-randomized assignment of patients to hospitalists, it is still possible that unmeasured confounding (eg, residual differences in socioeconomic status of patients that are not
explained by patient race /
ethnicity, Medicaid eligibility, and household income level) could
explain the observed differences in patient outcomes.
It is a regression in which student achievement is
explained by a combination of school inputs (resources such as funding per student, class size, teacher qualifications, etc.) and the characteristics of peers (percentage of schoolmates who are white and who are black, etc.), families (race,
ethnicity, parents» education, number of siblings, etc.), and neighborhoods (the share of households who rent versus own, etc.).
In our analyses of Florida data, 37 percent of the variation in students» middle school course tracks can be
explained by a combination of their prior test scores, race /
ethnicity, and family income.
The extensive text accompanying the event announcement goes on to
explain the concept in terms of multi-directional theories, its favouring dialogue over monologue and its connection with manual activities, as represented
by works in show that is explicitly and implicitly conditioned
by «complex intersections of class,
ethnicity, gender and sexuality».
Focusing on the Q1 - Q5 gap, ∼ 13 % was
explained by family background factors including children's race /
ethnicity, mother's age, child's age, and household size.
Given that their sample was recruited from the United Kingdom and ours from the United States, this discrepancy might be
explained by differences in sample characteristics (e.g.,
ethnicity, relationship status) or cultural differences in attachment styles (Del Giudice, 2011; Schmitt et al., 2004).