Not exact matches
Stupar blames this low
score on
differences in opinion between the human testers on what matches a single image, rather than a problem with the system itself: «It's a lot harder when there is a single image to decide whether the music fits or not,» he
explains.
Using the same methodology we employed for Parkinson's, our plan is to study other neurological disorders to determine whether there are disease - specific factors which
explain any observed
differences in the type of biomedical research most likely to receive a high Altmetric Attention
Score.»
Although our models do not fully
explain the funding gap, the greatest
differences between blacks and whites that we observed were
in the effect of previous training and the probability of receiving a priority
score.
That is, nature rather than nurture accounted for almost half the observed
differences in aptitude, helping
explain why some subjects with no musical training
scored at a professional level.
The disparate findings regarding the relationship between Texas's
scores on TAAS and NAEP can be partially
explained by
differences in the time periods and grade levels examined, and by the presence or absence of controls for student demographics.
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).
Could variation
in other factors such as test -
score performance
explain some of those remaining
differences?
Moreover, to the extent that testing nonalignment
explains some of the very large 0.4 standard deviation
difference in math
scores, it is unlikely that it
explains all or even most of that
difference.
Controlling for 10th - grade test
scores explains about half the graduation differential for charter high schools
in Florida but less than 20 percent of the
difference in Chicago.
We combined all of the available earlier test
scores into a single composite measure of quality and introduced it into statistical models that
explain differences in growth rates across nations during the period 1960 to 1990.
In short, institutional variation across countries explains far more of the variation in student test scores than do differences in the resources devoted to educatio
In short, institutional variation across countries
explains far more of the variation
in student test scores than do differences in the resources devoted to educatio
in student test
scores than do
differences in the resources devoted to educatio
in the resources devoted to education.
These findings are consistent with — but not definitive proof of — the argument that systematic
differences in the schools attended by white and black children may
explain the divergence
in test
scores.
In comparing the results of the Program for International Student Assessment in 65 countries, OECD researchers found that differences among countries grade - retention trends could explain up to 15 percent of the variance among average scores on the 2009 PIS
In comparing the results of the Program for International Student Assessment
in 65 countries, OECD researchers found that differences among countries grade - retention trends could explain up to 15 percent of the variance among average scores on the 2009 PIS
in 65 countries, OECD researchers found that
differences among countries grade - retention trends could
explain up to 15 percent of the variance among average
scores on the 2009 PISA.
They then use as an example the 0.044 (p < 0.05) coefficient (as related to more classroom observations with explicit feedback tied to the Common Core) and
explain that «a
difference of one standard deviation
in the observation and feedback index was associated with an increase of 0.044 standard deviations
in students» mathematics test
scores — roughly the equivalent of 1.4 scale
score points on the PARCC assessment and 4.1 scale
score points on the SBAC.»
If there are large discrepancies between the aggregate performances of students on different measures that are not
explained by
differences in the skills and content they are measuring, this is a flag for further examination of how the assessments are being designed or
scored.
When you have statisticians trying to
explain differences in test
scores as being equivalent to N days
in school, one imagines that a 40 day
difference in test date would have some impact.
In this study, we compare the teacher quality distributions in charter schools and traditional public schools, and examine mechanisms that might explain cross-sector differences in teacher effectiveness as measured by teacher value - added scores using school and teacher level data from Florid
In this study, we compare the teacher quality distributions
in charter schools and traditional public schools, and examine mechanisms that might explain cross-sector differences in teacher effectiveness as measured by teacher value - added scores using school and teacher level data from Florid
in charter schools and traditional public schools, and examine mechanisms that might
explain cross-sector
differences in teacher effectiveness as measured by teacher value - added scores using school and teacher level data from Florid
in teacher effectiveness as measured by teacher value - added
scores using school and teacher level data from Florida.
In Chapter 7 we look at the
difference between credit
score and credit capacity and
explain why you may want to opt for a debt relief alternative, rather than risking a high cost debt consolidation loan.
I
explain the
differences between the
scores and what factors go
in each of them to derive that
score.»
People high
in attachment anxiety, those who desire intense closeness with a partner but fear rejection and are highly attentive to relationship threats, monitor their partners more closely on Facebook.4 In general, especially during young adulthood, women tend to score higher on attachment anxiety than do men.5 In our study, we found that attachment anxiety explained gender differences in partner monitoring in response to feelings of jealous
in attachment anxiety, those who desire intense closeness with a partner but fear rejection and are highly attentive to relationship threats, monitor their partners more closely on Facebook.4
In general, especially during young adulthood, women tend to score higher on attachment anxiety than do men.5 In our study, we found that attachment anxiety explained gender differences in partner monitoring in response to feelings of jealous
In general, especially during young adulthood, women tend to
score higher on attachment anxiety than do men.5
In our study, we found that attachment anxiety explained gender differences in partner monitoring in response to feelings of jealous
In our study, we found that attachment anxiety
explained gender
differences in partner monitoring in response to feelings of jealous
in partner monitoring
in response to feelings of jealous
in response to feelings of jealousy.
The
difference was partly
explained by higher
scores in the psychosocial work environment factors; job satisfaction, perceived management quality from their managers, influence, degrees of freedom at work, possibilities for development and meaning of work.
The three sets of covariates, primarily differential selection and marital quality,
explain approximately 23 % [100 × (− 1.93 + 1.48) / − 1.93 ≈ 23] of the
differences in mental health summary
scores between widowed and married persons.