Sentences with phrase «race or ethnicity at»

The program puts an emphasis on reducing significant disproportionality, meaning that schools do not discipline students of a particular race or ethnicity at a higher rate than other students.

Not exact matches

The preference for a male may be unspoken or obliquely voiced by search committees, especially in liberal Protestant denominations where «it is totally unacceptable to refuse» pastor candidates because of gender, race or ethnicity and it is «frowned upon» to make age or marital status an issue, said the study, published last year as part of the Pulpit & Pew project at Duke Divinity School.

Recognizing that wining over working - class swing voters (or non-working-class voters with many struggling people in their social networks) requires, at minimum, addressing the everyday concerns of those voters — and recognizing that the fates of American working - class voters of all races and ethnicities are linked.

To find wars or widespread discrimination that does not include at some level; race, politics, nationalism, ethnicity... etc is difficult to find.

Mr. Glebe didn't seem to understand that the school's policy has nothing to do with religion or races or ethnicities, but rather the structure of families and those that don't have a Mom or Dad to celebrate at home.

Capitalism, while harsh at times, promotes an ethos that the best idea wins regardless of race or ethnicity.

«At the same time, as the state's highest ranking elected woman and the Chair of the Commission celebrating this historic occasion, I am inspired by the next generation of young women who will carry the torch and fulfill our vision of equality and create a culture of respect and inclusion for all women, regardless of race, ethnicity, gender at birth, or sexual orientation.&raquAt the same time, as the state's highest ranking elected woman and the Chair of the Commission celebrating this historic occasion, I am inspired by the next generation of young women who will carry the torch and fulfill our vision of equality and create a culture of respect and inclusion for all women, regardless of race, ethnicity, gender at birth, or sexual orientation.&raquat birth, or sexual orientation.»

They measured educational outcomes using standardized tests and looked at demographic data, including attendance and suspension; race and ethnicity; free and reduced price lunch status; and participation in gifted education, special education, or programs for English learners.

«Overall, our results suggest a connection between opioid and heroin use and heroin - related adverse outcomes at the population level, implying that frequent nonmedical users of prescription opioids, regardless of race or ethnicity, should be the focus of public health efforts to prevent and mitigate the harms of heroin use.»

Overall, 62 % of blacks, followed by 44 % of Asians, 42 % of Hispanics and just 13 % of whites in STEM jobs say they have experienced any of eight forms of discrimination at work due to their race or ethnicity.

Blacks in STEM jobs are more likely than others in STEM positions to say they have experienced discrimination at work due to their race or ethnicity.

Researchers and clinicians have known for many years that different racial and ethnic populations get diseases at different rates, respond differently to medications, and show very different results on standard clinical tests: «For a whole range of medical tests, whether your physician is told that your lab result is normal or abnormal depends entirely on the race / ethnicity box that you tick on an intake form,» Zaitlen said.

Demographic variables were year of graduation, sex (men vs women), age at graduation (≤ 29 years vs 30 - 32 or ≥ 33 years) and self - identified race / ethnicity, which students reported from a list of options on the GQ (categorized as white vs Asian / Pacific Islander; other or unknown race / ethnicity; or racial / ethnic groups considered underrepresented minorities in medicine relative to their numbers in the general population, including black, Hispanic, and American Indian / Alaska Native).

Covariates included the child's sex, calendar conception year (categorical variable), gestational age, maternal prepregnancy body mass index (BMI, calculated as weight in kilograms divided by height in meters squared)(BMI < 18.5 = underweight; 18.5 ≤ BMI < 25 = normal weight; 25 ≤ BMI < 30 = overweight; BMI ≥ 30 = obese), maternal age at delivery (younger than 20, 20 to 24, 25 to 29, 30 to 34, and ≥ 35 years), maternal education at delivery (≤ high school graduate, some college education, college graduate, postgraduate, or unknown), maternal race / ethnicity (Asian, black, white, or other), and gestational diabetes (yes / no).

The IMSD Program at Georgia State targets undergraduates from demographic groups that remain underrepresented in the sciences, including groups based on race or ethnicity, documented disabilities, and socially, economically, or educationally disadvantaged backgrounds (e.g., first - generation college students).

Women of all races and ethnicities are at risk for PCOS, but your risk for PCOS may be higher if you are obese or if you have a mother, sister, or aunt with PCOS.

And whilst there may be some stigma left surrounding black & white dating, you can at least be sure the intelligent, mature members on our site aren't likely to discriminate based on your race or your ethnicity preferences.

No matter if you are a White single, a Black single, a Caucasian single, a Latino or Hispanic single, an Asian single, or a Mixed Race single, at mixedconnect.com you can search for different people belonging to different races and ethnicities.

Caste, creed, gender, race, background, ethnicity, culture, or skin color does not have any importance for them and they just want get into a relationship by looking at the nature of the other person.

When modeling the relationship between these variables and educational attainment, we control for mother's age at first birth and whether the individual was the firstborn, along with gender and race or ethnicity.

In other words, at least 16 percent of the total Stuyvesant staff was composed of teachers who received their jobs because of seniority (or race and ethnicity) rather than professional accomplishments.

Children who spend more than ten hours at home alone during the week are more than twice as likely to use drugs regardless of their race, income, or ethnicity.

Driven by the need to find someone of the right race or ethnicity, or to hire someone who in no way resembles the previous superintendent, school boards draw at random from a weak pool of itinerant school administrators.

Moreover, the study also considers the LSP's impact on student attendance at racially homogenous schools, defined in the study as schools «having 90 percent of students belonging to the same race or ethnicity.»

Just over half (50.9 percent) of U.S. middle and high school students reported being verbally harassed at school based on appearance or body size, and the numbers for bullying based on other identity markers were also worrying: race / ethnicity (30.3 percent), gender expression (21.9 percent), sexual orientation (19.4 percent), gender (18.1 percent), religion (18.0 percent), and disability (12.7 percent).

Comparing levels of satisfaction among charter - school parents to parents at district schools of choice, there are no significant differences by race or ethnicity.

• The effect of the hybrid - format course did not vary when controlling for race / ethnicity, gender, parental education, primary language spoken, score at the standardized pretest, hours worked for pay, or college GPA.

Similarly, when the researchers looked at whether transfers to charter schools affected the distribution of students by race or ethnicity, they found that, in most sites, the racial composition of the charter school entered by a transferring student was similar to that of the traditional public school that he or she had left.

Advocates for Children of New York works on behalf of children who are at greatest risk for school - based discrimination and / or academic failure due to poverty, disability, race, ethnicity,...

According to Indicators of School Crime and Safety, a 1999 survey found that about 13 percent of students ages 12 — 18 at school during the past six months had been called a derogatory word related to their race, ethnicity, religion, disability, gender, or sexual orientation.

But black candidates pass the test at rates lower than candidates of other races or ethnicities.

KIPP Academy Boston Charter Public School and KIPP Academy Lynn Charter Public School do not discriminate on the basis of race, sex, color, religion, gender identity, ethnicity, national origin, sexual orientation, mental or physical disability, homelessness, age, athletic performance, special need, proficiency in the English language or a foreign language, shall have equal access to the general education program and the full range of any and all education programs offered at our schools.

In this era of a new administration in Washington that has espoused many viewpoints fundamentally at odds with the values held by the vast majority of Californians, we look forward to working with you to ensure that California's public school system, including its vibrant charter school sector, continues to ensure that absolutely all students regardless of immigration status, gender, gender identity, sexual orientation, race, ethnicity, class, faith, or disability may access high quality public school options.

Twins are chosen to match the charter school student's standardized test score, race and ethnicity, special education considerations, free - or - reduced - lunch participation, English proficiency, grade level, and grade retention, in order to compare performance at the two sets of schools.

Our previous reports have explored topics such as what people do at libraries and library websites or how Americans value individual library services based on traditional factors such as gender, race / ethnicity, age, and household income.

Contain hate speech directed at race, color, sex, sexual orientation, national origin, ethnicity, age, religion or disability;

In a text by Jessie Daniels published on Racism Review, she quotes Thomas, «I believe that in part, advertising's success rests on its ability to reinforce generalizations about race, gender, and ethnicity which can be entertaining, sometimes true, and sometimes horrifying, but which at a core level are a reflection of the way a culture views itself or its aspirations [2]».

At the state level, California's Equal Pay Act had already prohibited employers from justifying pay differences based on sex, race, or ethnicity solely on the grounds of prior salary.

[185] References to race or ethnicity will be erroneous and offensive if a state actor concludes that a person of a given background is engaged in criminal activity because previous criminal activity has been linked to persons of the same background (R. v. Nguyen, at para. 22).

At Southwestern, we have also developed a variety of initiatives.21 One is a vehicle for me as dean to teach first - year students at the beginning and end of their six - credit legal writing course entitled LAWS (Legal Research, Analysis, Writing, and Skills).22 At the beginning, I present data from the After the J.D. study, which is a longitudinal study following close to 5,000 lawyers admitted to the bar in the year 2000.23 The project is headquartered at the American Bar Foundation and involves the NALP Foundation among others.24 We have data from three years and seven years and will soon collect a third wave of data.25 I do a PowerPoint presentation that shows our students what difference it makes in early careers where one attends law school; what city or region one chooses to begin the career; what law school grades are received; gender, race and ethnicity effects; earnings in various settings; and the job satisfaction of people in different positionAt Southwestern, we have also developed a variety of initiatives.21 One is a vehicle for me as dean to teach first - year students at the beginning and end of their six - credit legal writing course entitled LAWS (Legal Research, Analysis, Writing, and Skills).22 At the beginning, I present data from the After the J.D. study, which is a longitudinal study following close to 5,000 lawyers admitted to the bar in the year 2000.23 The project is headquartered at the American Bar Foundation and involves the NALP Foundation among others.24 We have data from three years and seven years and will soon collect a third wave of data.25 I do a PowerPoint presentation that shows our students what difference it makes in early careers where one attends law school; what city or region one chooses to begin the career; what law school grades are received; gender, race and ethnicity effects; earnings in various settings; and the job satisfaction of people in different positionat the beginning and end of their six - credit legal writing course entitled LAWS (Legal Research, Analysis, Writing, and Skills).22 At the beginning, I present data from the After the J.D. study, which is a longitudinal study following close to 5,000 lawyers admitted to the bar in the year 2000.23 The project is headquartered at the American Bar Foundation and involves the NALP Foundation among others.24 We have data from three years and seven years and will soon collect a third wave of data.25 I do a PowerPoint presentation that shows our students what difference it makes in early careers where one attends law school; what city or region one chooses to begin the career; what law school grades are received; gender, race and ethnicity effects; earnings in various settings; and the job satisfaction of people in different positionAt the beginning, I present data from the After the J.D. study, which is a longitudinal study following close to 5,000 lawyers admitted to the bar in the year 2000.23 The project is headquartered at the American Bar Foundation and involves the NALP Foundation among others.24 We have data from three years and seven years and will soon collect a third wave of data.25 I do a PowerPoint presentation that shows our students what difference it makes in early careers where one attends law school; what city or region one chooses to begin the career; what law school grades are received; gender, race and ethnicity effects; earnings in various settings; and the job satisfaction of people in different positionat the American Bar Foundation and involves the NALP Foundation among others.24 We have data from three years and seven years and will soon collect a third wave of data.25 I do a PowerPoint presentation that shows our students what difference it makes in early careers where one attends law school; what city or region one chooses to begin the career; what law school grades are received; gender, race and ethnicity effects; earnings in various settings; and the job satisfaction of people in different positions.

While a significantly lower proportion of participants in the advance provision group (47 %) reported condom use at last intercourse than in the clinic access group (54 %), this difference was not significant after adjusting for race / ethnicity and clinic site (OR, 0.79; 95 % CI, 0.60 - 1.04, P =.09).

Consistent with a hypothesis that data are missing at random, several baseline demographic, but not outcome, variables predicted missingness including marital status (odds ratio [OR] = 3.4), parent age (OR = 0.92), child age (OR = 1.96), and non-white or Hispanic race / ethnicity (OR = 2.6OR] = 3.4), parent age (OR = 0.92), child age (OR = 1.96), and non-white or Hispanic race / ethnicity (OR = 2.6OR = 0.92), child age (OR = 1.96), and non-white or Hispanic race / ethnicity (OR = 2.6OR = 1.96), and non-white or Hispanic race / ethnicity (OR = 2.6or Hispanic race / ethnicity (OR = 2.6OR = 2.6).

These included characteristics on multiple levels of the child's biopsychosocial context: (1) child factors: race / ethnicity (white, black, Hispanic, and Asian / Pacific Islander / Alaska Native), age, gender, 9 - month Bayley Mental and Motor scores, birth weight (normal, moderately low, or very low), parent - rated child health (fair / poor vs good / very good / excellent), and hours per week in child care; (2) parent factors: maternal age, paternal age, SES (an ECLS - B — derived variable that includes maternal and paternal education, employment status, and income), maternal marital status (married, never married, separated / divorced / widowed), maternal general health (fair / poor versus good / very good / excellent), maternal depression (assessed by the Center for Epidemiologic Studies Depression Scale at 9 months and the World Mental Health Composite International Diagnostic Interview at 2 years), prenatal use of tobacco and alcohol (any vs none), and violence against the mother; (3) household factors: single - parent household, number of siblings (0, 1, 2, or 3 +), language spoken at home (English vs non-English), neighborhood good for raising kids (excellent / very good, good, or fair / poor), household urbanicity (urban city, urban county, or rural), and modified Home Observation for Measurement of the Environment — Short Form (HOME - SF) score.

A covariate was included in the multivariate analyses if theoretical or empirical evidence supported its role as a risk factor for obesity, if it was a significant predictor of obesity in univariate regression models, or if including it in the full multivariate model led to a 5 % or greater change in the OR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dor empirical evidence supported its role as a risk factor for obesity, if it was a significant predictor of obesity in univariate regression models, or if including it in the full multivariate model led to a 5 % or greater change in the OR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dor if including it in the full multivariate model led to a 5 % or greater change in the OR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dor greater change in the OR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dOR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dor no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dor no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dor no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / dor no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / d).

However, there were no differences based on race / ethnicity, maternal education, smoking status, low birth weight, or maternal IPV at baseline between those who completed the 36 - month assessment and those who did not.

Infants were more likely to be rated as having poor self - regulation if they were from a lower - income household; single - parent household; were of black race / ethnicity; or if the mother had lower educational attainment, endorsed poor / fair health, or met criteria for depression at 9 months (data not shown).

Logistic regressions (controlling for age, gender, race / ethnicity, family structure, academic performance, and depressive symptoms) suggest that family connectedness was a stronger predictor than connectedness to peers, school, or adults at school for non-suicidal self - harm, suicidal ideation, suicide plans, and non-fatal suicidal behavior.

The caregiver interview at age 4 years recorded the child's sex, child's race / ethnicity (white, African American, or other), caregiver's marital status (married, never married, or formerly married), and family income.

Children whose race / ethnicity was other than white or African American were less likely to have had no adverse exposures; African American children were less likely than other children to have had at least 3 adverse exposures (χ28 = 45.62, P <.05).

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).