Based on a series of experiments, [5] simulation studies, [6] and statistical tests, [7] elementary school value - added models do seem to address
the selection bias problem well, on average.
Paradoxically, this means better test alignment could actually make the validity or
selection bias problem worse because one no longer offsets the other.
Not exact matches
Selection bias is a
problem that happens when the method you use to select people for your study creates unequal groups.
Observational studies have a high risk of
bias owing to
problems such as self -
selection of interventions (people who believe in the benefits of meditation or who have prior experience with meditation are more likely to enroll in a meditation program and report that they benefited from one) and use of outcome measures that can be easily
biased by participants» beliefs in the benefits of meditation.
Evaluations of newer large - scale programs (like those in New Jersey, Oklahoma, and Texas) suffer from «
selection bias»
problems — we don't know whether the children enrolled in them might be different in important ways from their peers who didn't enroll.
The point seems to be that random - assignment strategies eliminate the
problem of sample self -
selection bias, but why is this a
problem?
Unfortunately, plenty of statistical
problems besides
selection biases continue to wreak havoc on education research.
Consider, for example, the
problem of self -
selection bias that plagued the literature of school sector effects.
[4] Sometimes called
selection bias, the
problem is that student needs and parental resources are never directly accounted for in value - added measures, even though they might affect student learning and therefore reduce validity of teacher value - added estimates.
[11] Another study randomly assigned students to teachers and found that
selection bias was only a small
problem, although there is debate about the interpretation of this result.
Selection bias — the
problem that plagues all school choice studies To investigate the effect that school choice has on student outcomes, researchers leverage statistical tools to try to make the most accurate comparison.
The
problem with this third reason is
selection bias.
The authors also acknowledge the limitations of their conclusions given
problems arising from differences in market risk and the possibility of
selection bias, a common
problem also found when examining the performance of hedge funds.
My cynical take is they excluded those categories because they'd overwhelm the others and highlight the
problem of
selection bias for reported MMEs.
There is another
problem with meta - analyses,
selection bias.
Alternative hypotheses (cosmic rays), homogenization
biases, GCM model
problems, IPCC
selection bias, overwrought possible consequences in the categories defined by the IPCC.
-LSB-...] example, McIntyre raised the
problems with the hockey stick as an official IPCC Review Editor: The seemingly
biased selection of Yamal over Polar Urals has -LSB-...]
In research relating child care to behaviour
problems,
selection bias is especially worrisome as causality plausibly runs in the opposite direction.
Selection bias is also a potential
problem for most studies of child care as it may confound variations in child and family characteristics with variations in child care contexts.
This study aims: (a) to examine whether poverty predicts changes in behavior
problems between 1.5 and 8 years of age; (b) to estimate potential
selection bias for the observed associations.