The team's findings provide
an observational test for existing models that scientists use to study the mechanisms that power the jet streams.
Not exact matches
For example, in an
observational study, researchers tracked the behavior of toddlers from the age of two, and then
tested the children's spatial abilities when they were four and a half.
«While these
observational data can not prove that treating patients based on the results of CTA
testing will automatically result in better health outcomes, they do provide new information enabling a more informed choice of
testing for patients with stable chest pain, especially
for predicting future cardiovascular risk.»
Although reanalysis of the available evidence is important, the ability to properly control
for bias and confounding [factors that can influence outcomes] in
observational studies is often limited, and without randomized controlled trials specifically designed to
test the hypothesis, the issue of nonspecific effects of vaccines may remain subject to continuing debate.»
As a whole, now the conceptual transition occurs from proving the inflationary paradigm in general and
testing some of its simplest models to applying it
for investigation of particle physics at super-high energies and of the actual history of the Universe in the remote past using
observational data.
We make use of measurements of dEBs in the c... ▽ More The open clusters in the Kepler and CoRoT fields potentially provide tight constraints
for tests of stellar models and
observational methods because they allow a combination of complementary methods.
Abstract: The open clusters in the Kepler and CoRoT fields potentially provide tight constraints
for tests of stellar models and
observational methods because they allow a combination of complementary methods.
The
testing is a lot more
observational within the sport of crossfit, and the reason being is that they don't have a clue exactly what they're training
for.
THIS IS NOT A VALID METHOD
FOR DIAGNOSING LEARNING DISABILITIES but it can serve as important observational tool when referring a child for professional services such as psychological testing, speech therapy, and / or occupational thera
FOR DIAGNOSING LEARNING DISABILITIES but it can serve as important
observational tool when referring a child
for professional services such as psychological testing, speech therapy, and / or occupational thera
for professional services such as psychological
testing, speech therapy, and / or occupational therapy.
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).
By contrast, IMPACT relies on
observational scores both from principals and from «master educators» — highly rated former teachers who work full - time
for the district — as well as on student
test - score growth, which increasingly is being used to evaluate teachers nationwide.
Because value - added measures adjust
for the characteristics of students in a given classroom, they are less biased measures of teacher performance than are unadjusted
test score measures, and they may be less biased even than some
observational measures.
This is particularly important as illustrated in the prior post (Footnote 8 of the full piece to be exact), because «Teacher effectiveness ratings were based on, in order of importance by the proportion of weight assigned to each indicator [including first and foremost]: (1) scores derived via [this] district - created and purportedly «rigorous» (Dee & Wyckoff, 2013, p. 5) yet invalid (i.e., not having been validated)
observational instrument with which teachers are observed five times per year by different folks, but about which no psychometric data were made available (e.g., Kappa statistics to
test for inter-rater consistencies among scores).»
If interested, see the Review of Article # 1 — the introduction to the special issue here; see the Review of Article # 2 — on VAMs» measurement errors, issues with retroactive revisions, and (more) problems with using standardized
tests in VAMs here; see the Review of Article # 3 — on VAMs» potentials here; see the Review of Article # 4 — on
observational systems» potentials here; see the Review of Article # 5 — on teachers» perceptions of observations and student growth here; see the Review of Article (Essay) # 6 — on VAMs as tools
for «egg - crate» schools here; see the Review of Article (Commentary) # 7 — on VAMs situated in their appropriate ecologies here; and see the Review of Article # 8, Part I — on a more research - based assessment of VAMs» potentials here and Part II on «a modest solution» provided to us by Linda Darling - Hammond here.
If interested, see the Review of Article # 1 — the introduction to the special issue here; see the Review of Article # 2 — on VAMs» measurement errors, issues with retroactive revisions, and (more) problems with using standardized
tests in VAMs here; see the Review of Article # 3 — on VAMs» potentials here; see the Review of Article # 4 — on
observational systems» potentials here; see the Review of Article # 5 — on teachers» perceptions of observations and student growth here; see the Review of Article (Essay) # 6 — on VAMs as tools
for «egg - crate» schools here; and see the Review of Article (Commentary) # 7 — on VAMs situated in their appropriate ecologies here; and see the Review of Article # 8, Part I — on a more research - based assessment of VAMs» potentials here.
Whether high - stakes consequences will still be attached to such output, along with the
observational and other
testing data to account
for the other 65 %, is to be seen.
IMO this is actually something that confuses many people including many professional scientists: The experimental (or
observational) designs (and resulting data) that are most useful
for hypothesis
testing on the one hand, versus estimation, prediction and forecasting on the other, are frequently very different.
This will facilitate the creation of targeted
observational networks, provide
test beds
for reconstruction methods, and enable comparisons with paleoclimate model simulations.
, but if you look at hypotheses and their predictions, passing rigorous century - long
observational tests is at least support
for a theory to be used going forwards.
«Many of the fundamental questions concerning the nature and causes of climate change are still largely unresolved because of our incomplete quantitative understanding of many of the physical processes that enter into the global energy balance and
for lack of definitive
observational data on which to
test various theories.
Given the short period of the records are the
observational estimates of the Hurst exponents stable enough to be used as a
test for the models?