Annually, the district prepares and distributes a report to all Atlas residents that includes information such as test scores, results of follow - up studies from graduates, assessment results about the learning climate, financial information, and
school demographic characteristics.
The results indicate that instructional practices have a significant effect on achievement (Model 1), but that this effect is diminished when we introduce teachers «professional community (Model 2), and it is further diminished when we look at school level and
school demographic characteristics (Model 3).
Because this approach does not take into account student or
school demographic characteristics, it is likely to penalize schools serving disadvantaged students.
Not exact matches
The report also considers the key
characteristics of young people who are out - of -
school and out - of - work, including their
demographics, where they live, their skills, and barriers they face connecting to employment opportunities.
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.
A newly published research study conducted by graduate students Jessie Green and Alan Brown under the guidance of Punam Ohri - Vachaspati, a nutrition researcher at the
School of Nutrition and Health Promotion at Arizona State University, examined whether noticing and using calorie menu labels was associated with
demographic characteristics of customers at a national fast food chain currently posting calorie counts.
They analyzed nearly 70,000
school records for students in district - based traditional public kindergarten in New York City in 2009, and linked the records to
demographic information and neighborhood
characteristics.
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.
«Child - parent dietary resemblance in the U.S. is relatively weak, and varies by nutrients and food groups and by the types of parent - child dyads and social
demographic characteristics such as age, gender and family income,» said Youfa Wang, MD, PhD, senior author of the study and associate professor with the Bloomberg
School's Center for Human Nutrition.
Comparing the
demographic characteristics of high - scoring F
schools and low - scoring D
schools confirms that the two groups are quite similar.
We organized those applicants into matched pairs, which were often adjacent grades in the same
school or the same grade in different
schools with similar
demographic characteristics.
The report first examines students»
demographic characteristics using data from the 2010 — 11
school year.
First, we use our entire sample to analyze the extent to which the
schools that students attend can explain the overall variation in student test scores and fluid cognitive skills, controlling for differences in prior achievement and student
demographic characteristics (including gender, age, race / ethnicity, and whether the student is from a low - income family, is an English language learner, or is enrolled in special education).
Charter critics point to reports showing differences in the
demographic characteristics of charter
school students and their counterparts in traditional public
schools as evidence that choice leads to segregation.
The study examines the impact of winning a
school choice lottery on dropout rates and crime for groups of students with different propensities to commit crimes, using an index of crime risk that includes test scores,
demographics, behavior, and neighborhood
characteristics to identify the highest - risk group.
To estimate expected student performance, we used a statistical procedure that predicts student achievement (i.e., SAT scores and dropout rates) in the state based on
school characteristics and household
demographics.
However, this analysis does not account for the possible sorting of students into particular
schools based on
characteristics not captured by their prior achievement and
demographic characteristics.
... And there [were] very few
school jurisdictions, prior to MATSITI, that could really put their finger on the number of Indigenous teachers that they had and the
demographic characteristics of those.
The
demographic and political
characteristics of a state and character of the state law authorizing charter
schools undoubtedly matter in some way for the fate of charter
schools in a state, but most decisions about charter
school formation and attendance are made within
school districts — by founders who decide to start a new
school, by authorizers who empower them to do so, and, ultimately, by parents who decide to enroll their students.
Controlling for key student
characteristics (including
demographics, prior test scores, and the prior choice to enroll in a charter middle
school), students who attend a charter high
school are 7 to 15 percentage points more likely to earn a standard diploma than students who attend a traditional public high
school.
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.
On the contrary, requirements for the reporting of extensive information on academic outcomes and basic
characteristics of
schools, including their
demographic composition, have been embedded in federal and state laws.
We also conducted a more sophisticated analysis that measures the relationship between a family's
demographic characteristics (such as eligibility for free - or reduced - price lunch, median household income of the student's residential neighborhood, race, and student prior achievement level), a
school's poverty level, and the likelihood that the parent makes a request.
Unlike entering test scores, most
demographic characteristics at KIPP
schools remain stable throughout middle
school.
The software will import real
demographic data on a
school district's student performance, personality, racial makeup, and even social
characteristics to generate a realistic classroom mix.
The Florida Department of Education's Education Data Warehouse provides test scores from the Florida Comprehensive Achievement Test (FCAT) and
demographic characteristics for all students in the public
schools.
While selection bias is still a concern, it is worthwhile noting that the authors control for a very rich set of covariates including student
demographics, parental income, parental education, student AFQT score, freshman year GPA, state of birth and various
school characteristics.
We also analyzed the
demographic and performance
characteristics of incoming 9th - grade students during those years at all 322
schools.
We also included information from the Common Core of Data (CCD) and the Private
School Universe Survey (PSS), which include data about the size, demographics, and geographic location of the high school attended when each student took the PSAT / NMSQT, as well as the Integrated Postsecondary Education Data System (IPEDS), which includes the characteristics of postsecondary institu
School Universe Survey (PSS), which include data about the size,
demographics, and geographic location of the high
school attended when each student took the PSAT / NMSQT, as well as the Integrated Postsecondary Education Data System (IPEDS), which includes the characteristics of postsecondary institu
school attended when each student took the PSAT / NMSQT, as well as the Integrated Postsecondary Education Data System (IPEDS), which includes the
characteristics of postsecondary institutions.
The table below documents the strong correlations between
demographic characteristics and the percentage of students in the
school enrolled via a voucher: The greater the share of students in a participating private
school using a voucher, the greater the share that are low - income minorities.
A student with a growth mindset in spring 2015 has ELA and Math test scores in the spring of 2016 that are approximately 0.07 and 0.04 standard deviations (SD) higher than a similar classmate (i.e., a classmate with the same previous achievement and
demographic characteristics in the same
school) with a fixed mindset (approximately two standard deviations below).
Parents responded to survey questions about their satisfaction with their children's
schools, their involvement in their children's education, and their
demographic characteristics.
CREDO controlled for the unique
characteristics of students enrolled in virtual charter
schools by comparing their performance to a «virtual twin,» a student with the same
demographic characteristics and similar prior achievement enrolled in a traditional public
school.
That is, we compare students with the same
demographic characteristics, the same test scores in the current year and in a previous year, the same responses to the surveys for other social - emotional measures collected by the district, and within the same
school and grade, to see whether students who look the same on all of these measures but have a stronger growth mindset learn more over the course of the following year.
We found that about half of the difference in student outcomes in
schools slated for closure and the broader sample of
schools can be explained by differences in incoming students»
demographic characteristics, absenteeism, and achievement in middle
school.
In the first step, test scores are adjusted for differences in prior test scores and the
demographic characteristics of the students the
schools serve.
For example the sample was not representative of the
demographics and achievement
characteristics of the
schools involved nor did it evaluate other variables such as professional development, or literacy coach support, variables which would have influenced the program outcomes.
Advocates of SGPs, and of «sparse» growth models more generally, view this as an advantage; they worry that methods that do take into account student or
school - level
demographic characteristics effectively set lower expectations for disadvantaged students.
We can place each student in a classroom and
school so we know about the
demographic and educational
characteristics of students» schoolmates as well as the size of their class.
So, in our research, we're looking at a whole range of individual
characteristics... such as student
demographic background, their academic performance and educational aspirations, the number of hours they work after
school and their peers» aspirations.
We also control for teacher experience as well as for class and
school characteristics, including class size and the academic performance and
demographic characteristics of all students in the relevant classroom and
school.
Teachers who work in a given
school, and therefore teach students with similar
demographic characteristics, can be responsible for increases in math and reading levels that range from a low of one - half year to a high of one and a half years of learning each academic year.
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.
We focus our analysis on charter middle
schools, because we are able to compare charter and traditional public
school students who had similar entering test scores and
demographic characteristics and even attended the same elementary
school.
Because Indiana public and private
schools use the same assessment in grades 3 — 8, we could identify public -
school students who shared similar achievement trajectories and
demographic characteristics with these voucher students at baseline (the year prior to a student switching from a public to a private
school) and track both groups» academic progress for up to four subsequent years.
Mathematica will prepare a series of analytic reports documenting the
demographic characteristics, home environments, and
school readiness skills of Head Start children and the quality of Head Start classrooms, teachers, and programs.
Economic,
demographic, segregation and
schooling characteristics explain roughly three - quarters of the geographic variation in these gaps.
The observational analysis controls for
demographic and background
characteristics as well as students» lagged test scores (for example, the elementary
school scores of middle
school students).
Looking at
demographic characteristics, credits completed, high
school GPAs, and disciplinary incidents, the researchers found clear evidence that the Promise reduced behavior problems for all students, and had a dramatic positive effect on the GPAs of African Americans.
We also find that perceptions of
school quality in Florida are unrelated to student
demographic characteristics, including the percentage of students who are poor, once we take into account levels of student achievement.