Not exact matches
In a carefully researched article (Yale Journal of Regulation, Summer 2001), Yale Law School professor Roberta Romano summarized studies on the economic impact of splitting the chair and CEO roles in U.S. companies (where combined CEO / chairs are the norm), finding that there is no statistically significant difference, in terms of stock price or accounting income, between companies that split the roles and those that don'
In a carefully researched article (Yale Journal of Regulation, Summer 2001), Yale Law
School professor Roberta Romano summarized studies on the economic impact of splitting the chair and CEO roles
in U.S. companies (where combined CEO / chairs are the norm), finding that there is no statistically significant difference, in terms of stock price or accounting income, between companies that split the roles and those that don'
in U.S. companies (where combined CEO / chairs are the norm), finding that there is no statistically significant
difference,
in terms of stock price or accounting income, between companies that split the roles and those that don'
in terms of stock price or
accounting income, between companies that split the roles and those that don't.
Implicitly the study moves to counter the three sorts of change
in Schleiermacher's model of a wissenschaftlich «professional»
school that we found
in the Kelly and May - Brown studies: the abandonment of a specifically theological
account of the subject matter of the Wissenschaft; the individualistic and functionalist understanding of «professional»»; and a separation of Wissenschaft from professional training that leaves both incapable of internal critique of ideological
differences.
In order to separate student characteristics from aspects of segregated public schools, Kainz used a statistical technique called «propensity score matching,» which allows for comparison of reading growth in segregated and non-segregated schools, while also accounting for numerous differences in the students» background
In order to separate student characteristics from aspects of segregated public
schools, Kainz used a statistical technique called «propensity score matching,» which allows for comparison of reading growth
in segregated and non-segregated schools, while also accounting for numerous differences in the students» background
in segregated and non-segregated
schools, while also
accounting for numerous
differences in the students» background
in the students» backgrounds.
«Humans vary
in their DNA sequences, and what is taken as the «normal» DNA sequence for reference can not
account for all these
differences,» says Stuart Orkin, MD, of Dana - Farber Boston Children's Cancer and Blood Disorders Center and co-corresponding author on the study with Matthew Canver, an MD - PhD student at Harvard Medical
School.
These rates plus
differences in quality may
account for only about half of entering kindergartners having mastered skills needed for
school success.
The Public
Account Committee, highlighted where
differences in school funding resulted
in «some
schools receive about # 3,000 a year more than others per disadvantaged pupil».
What could
account for the
differences in the estimated effects of SAT performance and the high -
school dropout rates?
The OECD says results from the PISA collaborative problem - solving assessment show only 9 per cent of the
differences in students» scores (after
accounting for their performance
in the three core domains of science, reading and mathematics), is observed between
schools.
We also
accounted for whether the district is urban, suburban, or rural; whether the district is elementary, secondary, or unified; per pupil expenditure
in the district during the 1989 — 90
school year; and
differences attributable to the state.
In making our estimates, we take into account differences between countries in their level of income, the average number of years students are in school, and population growth rate
In making our estimates, we take into
account differences between countries
in their level of income, the average number of years students are in school, and population growth rate
in their level of income, the average number of years students are
in school, and population growth rate
in school, and population growth rates.
This method takes into
account differences in where students start as well as
differences in out - of -
school factors that teachers can not control.
(For a fuller picture of Weingarten and a good
account of the
difference between political savvy and fixing our
schools for kids, I suggest RiShawn Biddle's profile
in the American Spectator.)
In Hyderabad, students attending recognized and unrecognized private schools outperformed their peers in government schools by a full standard deviation in both English and math (after accounting for differences in their observable characteristics
In Hyderabad, students attending recognized and unrecognized private
schools outperformed their peers
in government schools by a full standard deviation in both English and math (after accounting for differences in their observable characteristics
in government
schools by a full standard deviation
in both English and math (after accounting for differences in their observable characteristics
in both English and math (after
accounting for
differences in their observable characteristics
in their observable characteristics).
We first compare the average gains made by all students
in charter
schools with the gains made by students
in traditional public
schools, taking into
account differences in gender, ethnicity, and the highest level of education completed by their parents.
... When these factors are statistically controlled... it appears that
differences between
schools account for only a small fraction of
differences in pupil achievement.
Finally,
in Kenya, where the raw test scores showed students
in private and public
schools performing at similar levels, the fact that private
schools served a far more disadvantaged population resulted
in a gap of 0.1 standard deviations
in English and 0.2 standard deviations
in math (after
accounting for
differences in student characteristics).
These results, however, still do not
account for
differences in the backgrounds and characteristics of students who attend these types of
schools that might
in turn affect whether they engage
in community service.
We find that
differences in achievement and attainment
account for 20 to 35 percent of the current variation
in per - capita GDP among states, with average years of
schooling and achievement levels making roughly even contributions.
Only after these background factors are fully
accounted for is the second step taken — a look at the characteristics of the
schools that make the biggest
difference in determining the variation
in student achievement.
This adjustment also
accounts for unmeasured
differences in high
school and college policies, such as state spending on higher education, changes
in high
school curricula, and the relative competitiveness of college admissions
in a given year.
Without
accounting for any
differences in students» socioeconomic status, the Spanish language and mathematics test scores of students who attend network
schools are considerably higher than the scores of those attending stand - alone
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).
The higher performance of students
in schools using the literacy hour, coupled with the fact that this
difference continues to be observed even after taking into
account other
differences among
schools, makes us reasonably confident that we have pinned down the effect attributable to the policy.
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.
Even after
accounting for state
differences in demographics, geographic region, urbanicity, education spending, and political attitudes,
schools in states with «no promo homo» laws were:
While urban students overall do better
in charter
schools than
in traditional public
schools — a conclusion found by rigorous studies that
account for any potential
differences in the students going
in — the gap varies tremendously from place to place.
It's the change
in school operation, shepherded by the RSD, which
accounts for the
difference.
When these factors are statistically controlled, however, it appears that
differences between
schools account for only a small fraction of
differences in pupil achievement (pp. 21 - 22).
Beginning with James Coleman's research
in the 1960s, comparisons of public and private
schools have suffered under a powerful critique: that such comparisons can never fully
account for
differences in the types of students who attend public and private
schools.
The Index
accounts for
differences in state exams and poverty concentration at the
school level.
Academics from Durham University analysed
differences in attainment between state and private
school pupils, taking their prior attainment, family background and gender into
account.
«Overall,» the study said, «demographic
differences between students
in public and private
schools more than
account for the relatively high raw scores of private
schools.
Differences in age of starting school and length of schooling did not appear to contribute once differences in age on testing were taken in
Differences in age of starting
school and length of
schooling did not appear to contribute once
differences in age on testing were taken in
differences in age on testing were taken into
account.
«There was differentiation between high and low performing
schools accounted for by
differences in strategies.»
Combining the results of the student social - skills surveys and
school climate surveys
accounted for 21 percent of the
difference in math scores for the lowest - performing 5 percent of low - performing
schools.
does not
account for
differences in school performance beyond test scores and graduation rates.»
Much, but not all, of the racial and socioeconomic sorting we document is
accounted for by
differences in achievement, particularly at the high
school level.
Fifty years of research have established that these out - of -
school influences
account for the majority of
differences in student achievement.
The report cites the well - established principle that teaching quality is the most powerful
school - based factor
in student learning — one that outweighs students» social and economic background
in accounting for
differences in student learning.
The funding reform commission is responsible for taking a number of factors into
account including local capacity to support
schools, regional
differences in associated costs and a variety of student characteristics that impact educational needs.
Yet even taking into
account the possible
differences in students» and parents» levels of motivation, the academic performance gap between these charter
schools and public
schools that serve similar students is striking.
In each state, and in both elementary grades and middle school grades, a significant portion of the aggregate difference in math proficiency can be accounted for by the fact that ELL students and white students tend not to attend the same public school
In each state, and
in both elementary grades and middle school grades, a significant portion of the aggregate difference in math proficiency can be accounted for by the fact that ELL students and white students tend not to attend the same public school
in both elementary grades and middle
school grades, a significant portion of the aggregate
difference in math proficiency can be accounted for by the fact that ELL students and white students tend not to attend the same public school
in math proficiency can be
accounted for by the fact that ELL students and white students tend not to attend the same public
schools.
But a loophole allows districts to exclude from that comparability calculation variations
in teacher salaries, which
account for much of the spending
differences among
schools.
Specifically, Section 16 of SB 302 amended NRS 387.124 (1) to provide that the apportionment of funds from the DSA to the
school districts, computed on a yearly basis, equals the
difference between the basic support guarantee and the local funds available, minus «all the funds deposited
in education savings
accounts established on behalf of children who reside
in the county pursuant to NRS 353B.700 to NRS 353B.930.»
Although
differences in teacher and
school characteristics — such as a teacher's experience or a
school's student demographics — explained some of this gap, more than half of the gap remained even after
accounting for such factors.
Because fifty years of research show that
differences in school quality only
account for about a third of the variation
in student achievement.
This was not surprising, because
school differences accounted for little of the variation
in Tripod: Only 2 - 7 percent of the variation
in these indicators lay between
schools.
Has the study sufficiently
accounted for the unobservable
differences between students
in choice
schools and students
in traditional public
school?
The Tricky Bit — How to
Account for Selection Bias Now for the important question,
in the context of these data and techniques, how did I compare students
in choice
schools to students
in traditional public
school knowing that that
difference in decision might be because of some unobservable characteristic obscuring the true comparison between choice students and traditional public
school students?
Most crucially, and most ludicrously, WILL's study doesn't
account for selection bias —
differences between students whose parents and guardians decide to enroll them
in voucher
schools or charter
schools and those who do not.