So, he asks «whether regulators are any good at identifying which schools will contribute to test score gains» and then says this: «The bottom line is that
none of the factors used by authorizers to open or renew charter schools in New Orleans were predictive of how much test score growth these schools could produce later on.»
Not exact matches
Yeah the people really understood that in the past especially when you
factor in that until the 19th century
none of the scriptures wherever
used to condemn the gay community.
While
none of these features are inherently wrong, (and can
of course be
used by good people to do good things), these days I find myself longing for a church with a cool
factor of about 0.
In fact, if one considered just three
factors (maternal education, maternal prenatal alcohol or tobacco, and marital status) one could predict to a high degree postneonatal mortality: children born to unmarried women with lower education and evidence
of prenatal drug
use had a postneonatal mortality
of about 30 per 1000 live births (similar to Ivory Coast); children born to women with
none of these risk
factors had a postneonatal mortality
of about 2 per 1000 live births (similar to Norway); that is, children in this latter category almost never die despite evidence from PRAMS surveys that they are as likely to co-sleep with their parents.
Logistic regression
using a hierarchical stepwise method indicated that
none of the demographic
factors, which were entered first, were found to be predictive
of the infants» ability to achieve developmental milestones.
Using a statistical method, Marotzke and Forster analysed the contributions
of the individual
factors and found that
none of the physical reasons explains the distribution
of predictions and the deviation from the measurements.
It is needed especially in case
of those who still
use stimulants, laxatives, and live a stressful lifestyle, as these
factors lead to the vitamin B12 deficiency among the followers
of any nutritional approaches including vegans, vegetarians, and even
none - vegetarians.
none of the ipad apps has really been a great
use bug rather enhancements and play arounds so i see no reduced functionality in reality only less play and less show off, but the potential
of the pb is higher on that and i think that if someone is looking for this
factor soon they will be more than happy (i dobnot consider it a
factor anyway) lastly it is more economical in
use because i can
use my bb mobile bis or bes service to browse the web (obviously slower than the wifi but does the job) instead
of having an extra data plan expence for the no wifi access moments.
However, I am not a «warmista» by any means — we do not know how to properly quantify the albedo
of aerosols, including clouds, with their consequent negative feedback effects in any
of the climate sensitivity models as yet — and all models in the ensemble
used by the «warmistas» are indicating the sensitivities (to atmospheric CO2 increase) are too high, by
factors ranging from 2 to 4: which could indicate that climate sensitivity to a doubling
of current CO2 concentrations will be
of the order
of 1 degree C or less outside the equatorial regions (
none or very little in the equatorial regions)- i.e. an outcome which will likely be beneficial to all
of us.
Leaving aside the generally less well constrained results
using the 1901 — 2010 period that started with two anomalously cold decades,
none of these show scaling
factors for «other anthropogenic» — predominantly aerosol and to a lesser extent ozone, with minor contributions from land
use and other
factors — that are consistent with unity at a 95 % confidence level.
There are many
factors that go into a fair
use determination and
none of them are controlling in the usual case.
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.