Not exact matches
Area and individual maternal
characteristics included country of residence, ward type,
socioeconomic status, ethnicity (defined by Office
for National Statistics guidelines and classified
for this analysis as British / Irish white3 or of other ethnic origin), maternal age in years at cohort child's birth, level of education (attainment of qualification at GCSE grade G or above), parity (whether cohort child is first live birth), and lone parent status.
The findings held true
for all students, regardless of whether they appeared likely or unlikely to attend selective schools, as predicted by student background
characteristics such as race, gender,
socioeconomic status, and pre-college test scores.
Published annually since 2009, Basic Facts about Low - Income Children presents demographic
characteristics and
socioeconomic conditions of poor and low - income children in fact sheets
for five age groups, from infants and toddlers to adolescents.
Data from the United Network
for Organ Sharing (UNOS) on transplant outcomes and donor
characteristics was linked with Georgia Transplant Foundation financial aid data to examine the contribution of
socioeconomic status to the observed racial disparities.
Research by the Education Testing Service (ETS), and more recently by Miller & Stassun (2014)[9], demonstrate that GRE scores correlate with demographic
characteristics unrelated to potential
for graduate study, such as gender, race and
socioeconomic status.
When we control
for the
socioeconomic status of both the student and school, our findings are the same: student
characteristics are not related to the type of teachers that parents prefer, while school
characteristics are strongly related to parental preferences
for teachers.
We examined whether larger networks are more effective than smaller ones and found that, both with and without correcting
for student and peer
socioeconomic characteristics and selection bias, students at schools that are part of networks of three or more schools consistently outperform students at schools in networks of only two schools.
We compare the test scores of students in each of the seven categories, taking into account differences in the students»
socioeconomic characteristics, including parent schooling, self - reported household income, the number of non-school books in the home, and the quality of the peer groups (calculated by averaging family background and home resources
for all students in the classroom).
For example, since the 1970s, Finland has implemented a comprehensive and fully publicly - funded school system which enrols all children regardless of their
socioeconomic background or personal abilities and
characteristics.
For example, there is no satisfactory way to make judgments about which method of teaching reading is superior — whole language or phonics — without factoring in the
socioeconomic, school, and teacher
characteristics of each of the groups of students in the experiment.
Given the correlation between family
socioeconomic advantage and the student
characteristics that schools look
for, this concern on the part of private schools will restrict access
for voucher - bearing students.
Chile had a poorly designed, unfettered universal school - choice program with a flat voucher that was not adjusted
for a student's
socioeconomic characteristics.
Completion of more - advanced math courses increased the predicted probability of college graduation even when the authors controlled
for demographic traits,
socioeconomic status, family and school
characteristics, and overall measures of math ability (i.e., math GPA and grade 10 math test score).
Even when controlling
for socioeconomic and other
characteristics, we found that these Black students are 1.6 times more likely to opt out of their zoned schools than non-Black students.»
Freshman year course performance — more than background
characteristics such as race, gender,
socioeconomic status, or prior achievement — predict which students with disabilities are most at risk
for dropping out of high school, according to a new report from the National High School Center at AIR and the Consortium on Chicago School Research at the University of Chicago.
The evaluation of the North Carolina IMPACT project by the William and Ida Friday Institute
for Educational Innovation at North Carolina State University focused, in part, on assessing teacher
characteristics related to technology adoption before and after a 3 - year infusion of technology funding at 11 elementary and middle schools located in low -
socioeconomic - status districts (No Child Left Behind Act of 2001).
This has been confirmed by numerous studies, most particularly those that focus on value added
for individual students after controlling
for background
characteristics like
socioeconomic status.
Although volunteers» demographic and
socioeconomic characteristics are discussed separately below, many are related to each other and interact in predictable ways;
for example, income increases with education and marital status changes with age.
This then established the relationship between neighbourhood
socioeconomic status (SES) and a number of children's health and developmental outcomes.9 Longitudinal research suggested structural
characteristics such as poverty and demography were mediated through community - level social processes that influenced the functioning of families and children.10, 11 Today, however, there is still limited understanding of the modifiable community - level factors likely to benefit outcomes
for young children despite socioecological frameworks suggesting there are multiple levels of influence (individual, family, community) on early child development (ECD).12, 13 Investigating these influences is thought best undertaken through a combination of quantitative and qualitative methods that can test these multiple influences on ECD.14, 15
These analyses will take into account maternal baseline and child
characteristics identified a priori,
for example, child's gender and age (at assessment), and maternal age, parity, antenatal risk, self - efficacy, mental health, education and
socioeconomic status.
Socioeconomic characteristics were similar
for the 2 samples.
A similar relationship was noted in the Western Australian Aboriginal Child Health Survey where an independent association between the number of dietary indicators met and a child's odds of experiencing emotional or behavioural problems was demonstrated.5 Other research with Australian adolescents has also demonstrated an association between dietary quality and mental health, even after controlling
for socioeconomic status and a range of individual and family - level
characteristics.41, 42 It appears that a more detailed exploration of the link between diet and mental health among Aboriginal children is warranted.
Controlling
for socioeconomic and relationship
characteristics, we find that a fathers» absence from the 20 - week ultrasound emerges as the strongest predictor of his absence from the birth.
All variations in
socioeconomic characteristics were only controlled
for by matching maltreated children to children of similar demographics who resided in the same state and zip code.
Eighty - five percent of the final sample had at least 1 of the 3 risk
characteristics used
for recruitment: 47 % were younger than age 19 years, 62 % were unmarried, and 61 % came from households classified as of low
socioeconomic status.
Given that CfC and comparison sites are matched on the
socioeconomic index
for areas, which comprises over 30 area - level variables, it was not necessary to include area
characteristics as control variables.
Adolescence is characterized by major biological, psychological and social challenges and opportunities, where interaction between the individual and environment is intense, and developmental pathways are set in motion or become established.2 — 4 Furthermore, adolescent psychopathology can have important consequences
for education, relationships and
socioeconomic achievement in later life.5 — 7 These
characteristics of adolescence do not only set high demands
for cohort studies aiming to capture the most salient aspects of developmental pathways, they also ensure a great gain in empirical knowledge and an invaluable source of information
for public health policy from such studies.
The most apparent is that single measures of absolute concentrations of salivary cortisol,
for most health - related variables, seldom give significant findings; deviation measures, in terms of diurnal deviations and / or laboratory stress tests seem to be more strongly and consistently associated with a number of factors, such as
Socioeconomic Status (SES), psychological
characteristics, biological variables in terms of overweight and abdominal fat accumulation, and mental and somatic disease.
Third, although there are some data about various child and family
characteristics that predict outcome (e.g.,
socioeconomic disadvantage, severity of child behaviour, maternal adjustment problems, treatment barriers), there has been a relative dearth of attention paid to a) the actual processes of change that are induced by PMT and b) whether there are certain subgroups (e.g., based on child gender or minority status or family
socioeconomic status)
for whom PMT is more or less effective.15 - 17
Marital status and living arrangement differences in time with children largely disappear or single mothers engage in more child care than married mothers after controls
for socioeconomic status and other
characteristics are introduced.
To their credit, Tschann and colleagues controlled
for some important factors related to
socioeconomic status (SES) and child
characteristics (child's gender, hours worked weekly by mother, and two vs. single - parent households) but did not include other important indicators of SES such as parental age or education.
We controlled
for a wide range of potential confounders:
characteristics of the child (temperament and development at 9 months, and illness and exact age at outcome), equivalent mother involvement where appropriate, and factors related to
socioeconomic status, household change, and parental well - being, where statistically significant.