Sentences with phrase «adjust for demographic»

North Carolina's A-F school grading system doesn't adjust for demographic differences, but it does have a growth component, albeit small — just 20 percent of a letter grade will draw on the degree to which students improve over time on standardized tests, which many pundits and educators say is not enough.

Looking at the total of 5,796 deaths, 1,649 CV deaths, and 4,784 major CVD events, and adjusting for demographic, lifestyle, health, and dietary factors, the study showed greater fruit, vegetable, and legume intake was associated with lower total mortality, and non-CV mortality.

Jha said the researchers sought to control for a variety of factors, including risk adjusting for the demographics of patients and accounting for differences in the size and types of hospitals where the physicians worked.

They then conducted a series of logistic regression models that included fixed effects for year and state, and adjusted for demographic characteristics, school characteristics, and other state alcohol policies.

Adjusting for demographic factors such as socio - economic status, the researchers compared children who were continuously insured during the year with those who'd had disrupted coverage.

In models adjusted for demographic and clinical information, 33 out of 35 frailty scores showed significant added predictive performance for all - cause mortality.

When the researchers adjusted for demographic variables, health behaviors and health conditions, a statistically significant effect on mortality remained.

Despite some drawbacks, demographically - adjusted data provide important insights into differences in state - level school performance, and show that there are substantial differences across states, even after adjusting for demographics.

And that's before adjusting for demographics.

Schools are put on a level playing field by adjusting for demographic factors that can influence academic outcomes.

And as Roger Pielke Jr has shown repeatedly, the long - term statistics show no detectable change in weather disasters, (adjusted for demographics).

After adjusting for demographic factors and all other psychosocial factors, impulsivity was an independent risk factor for DSH but not for SA.

We used ordinal logistic - regression analysis to test the independent effects of each variable, adjusting for demographics, child personality, and parenting style.

After adjusting for demographics, diabetes severity, medical comorbidity, and depression, dismissing attachment style remained significantly associated with HbA1c levels ≥ 8 %, compared with secure attachment style (odds ratio 2.5, 95 % CI 1.1 — 6.0).

In another study (n = 62), positive effects (once results were adjusted for demographic and baseline data) were reported for the intervention group on a social skills measure.

Not exact matches

To date, results from several longitudinal studies indicate that e-cigarette use among nonsmoking youth increases the likelihood of future use of conventional cigarettes.5 — 10 Specifically, the pooled odds ratio (OR) in a recent meta - analysis of studies of adolescents and young adults (aged 14 — 30) indicates that those who had ever used e-cigarettes were 3.62 times more likely to report using cigarettes at follow - up compared with those who had not used e - cigarettes.11 This finding was robust and remained significant when adjusting for known risk factors associated with cigarette smoking, including demographic, psychosocial, and behavioral variables such as cigarette susceptibility.

For example, the study mentioned above, which notes a significant increase in incidences of Major Depressive Episodes in teenagers, adjusted for socio - demographic and household factoFor example, the study mentioned above, which notes a significant increase in incidences of Major Depressive Episodes in teenagers, adjusted for socio - demographic and household factofor socio - demographic and household factors.

«In the subgroup of women with spontaneous onset of labour and vaginal deliveries, after controlling for other obstetric and demographic factors, epidural analgesia but not narcotic analgesia was significantly associated with reduced breastfeeding duration (adjusted hazard ratio 1.44, 95 % confidence interval 1.04 - 1.99).»

Results Mothers delivering in accredited maternity units were more likely to start breastfeeding than those delivering in units with neither award [adjusted rate ratio: 1.10, 95 % confidence interval (CI) 1.05 — 1.15], but were not more likely to breastfeed at 1 month (0.96, 95 % CI 0.84 — 1.09), after adjustment for social, demographic, and obstetric factors.

After adjustment for country of residence and individual social, demographic, and obstetric characteristics, mothers who delivered in an accredited hospital were 10 % more likely to start breastfeeding: adjusted rate ratio [95 % confidence interval (CI): 1.10 (1.05 — 1.15)-RSB-, than those who delivered in a unit with neither award (Table 4).

What is most worrying is that this association was adjusted for maternal age, demographic factors, and underlying obstetric complications and therefore reflects the additional risk of the procedure itself.

In Horwood's long - range study that followed children from birth to 18 years or the completion of high school, breastfed children were rated as more cooperative and socially better students the longer they were breastfed.17 When drop - out rates were calculated, the rate was higher among children who had been bottle - fed and lowest among those who had been breastfed equal to or longer than eight months, even when data were adjusted for maternal demographics.

The research also finds that black students are 54 percent less likely than white students to be identified as eligible for gifted - education services after adjusting for the students» previous scores on standardized tests, demographic factors, and school and teacher characteristics.

Even after researchers adjusted for differences in diet, exercise and demographic variables among the participants, high levels of leptin and irisin continued to be associated with childhood adversity.

After adjusting for various factors, including age, demographic factors, health behaviors such as smoking and alcohol consumption, physical activity, medical conditions, and socioeconomic status, the researchers found that black workers in general — and black professionals in particular — were more likely to experience short sleep than whites.

The patients who had been prescribed opioids before surgery spent an average of an extra half a day in the hospital after their operations, the researchers found — even after they adjusted for a wide range of co-existing factors such as medical conditions and demographic characteristics.

Performing a multivariate analysis adjusting for patient demographics and comorbidities, the UCSF researchers determined AFL catheter ablation reduced the risk for overall hospital - based health care by 6 percent, inpatient hospitalization by 12 percent and emergency department visits by 40 percent.

«We found that CSM is statistically significantly lower for Asian Americans than for non-Hispanic whites overall, despite similarities in odds of receiving definitive therapy, and even after adjusting for socio - demographic factors, cancer stage and treatment,» said Trinh.

The results showed, once adjusted for socio - demographic and familial factors, that infants exposed to SSRIs during two or more trimesters weighed 205 grams less than infants whose mothers were not exposed to any antidepressants.

«After adjusting for other demographic and lifestyle factors, and chronic diseases, we found that those who consumed the highest fat intake were more likely to experience excessive daytime sleepiness,» says study author and University of Adelaide PhD student Yingting Cao, who is also based at SAHMRI (South Australian Health and Medical Research Institute).

Researchers analyzed the raw scores and adjusted for the effects of various demographic factors, medical history, disease severity and treatments received, to isolate the particular effects of smoking.

In light of this concern, depending on their goals, states may wish to adjust schools» scores on these indicators by controlling for demographics, geography, and other factors, much as they already do when estimating student growth.

• After adjusting for prior test scores and demographics, the school a student attends explains 34 percent of the variation in their math test scores and 24 percent of the variation in their reading test scores, but just 2 percent of the variation in their fluid cognitive skills.

Matt Chingos and his Urban Institute colleagues offer one clever way of doing that, adjusting the scores for demographic changes over time.

After adjusting for student demographics and other school characteristics, schools with 25 percentage points more proficient students are rated 22 percent of a letter grade higher.

We also adjusted the data to account for changes in state spending on education and for parents» educational levels, which provides controls for simultaneous changes in state policies or differences in demographics that might confound the analysis of how accountability systems influenced student achievement.

In our report, we introduced a method for adjusting for the bias in classroom observation scores by taking into account the demographic make - up of teachers» classrooms.

Observation scores should be adjusted for student demographics, such as measures based as test scores already are.

At the state level, Michigan schools frequently score at the bottom of the table on NAEP, even after adjusting for student demographics.

In the first step, test scores are adjusted for differences in prior test scores and the demographic characteristics of the students the schools serve.

Even after adjusting for observed demographic differences, researchers always wondered whether unobserved differences that were not being accounted for, such as parental motivation or the intellectual richness of home life, played a larger role than the schools themselves in causing differences in academic performance between public and private schools.

Once adjusting for free - lunch status and other basic demographics, black children in the NSCH participate in special education at a rate that is not statistically different from white children.

The changes in performance reported below for each group of schools have all been adjusted to take into account any changes between 2001 - 02 and 2002 - 03 in schools» demographic characteristics, such as the share of students participating in the federal school lunch program and the ethnic breakdown of the student body.

[1] U.S. Department of Education, National Center for Education Statistics (NCES) through Public high school 4 — year adjusted cohort graduation rate (ACGR), by race / ethnicity and selected demographics for the United States, the 50 states, and the District of Columbia: School year 2014 — 15.

A report released Monday by the Urban Institute has adjusted the raw scores for each state to account for student demographics, including poverty, race, native language and the share of students in special education.

Using a time - series regression approach described in a separate publication, this paper adjusts state SAT score averages for factors such as participation rate and student demographics, which are known to affect outcomes, then validates the results against recent state - level National Assessment of Educational Progress (NAEP) test scores.

Another way to understand school and district performance is to compare performance after adjusting for student demographics.

SB1 delivers by calculating the cost of a quality education using evidence - based practices that have been shown to boost student achievement while adjusting for local demographics.

A recent analysis examined 2013 NAEP scores among states after adjusting for various demographic characteristics of each states» student population, such as eligibility for free and reduced price lunch, status as ELLs, and other factors.

Many researchers argue that adjusting for student demographic characteristics is unnecessary because the growth scores are calculated by comparing students against themselves.