Results were subjected to (1) correlation analyses that examined associations among
the EF measures, (2) multivariate analysis of variance that compared EF performance between the preterm / ELBW group and the full - term group as a function of age, and (3) correlation and regression analyses that evaluated the main and interactive effects of the biomedical variables and SES on EF scores within the preterm / ELBW group.
The REDI intervention promoted gains on two
EF measures, which partially mediated intervention effects on school readiness.
The present study examined a set of five
EF measures in the context of a randomized - controlled trial of a research - based intervention integrated into Head Start programs (Head Start REDI).
Prior to the regression analyses, data on
the EF measures were converted to age - corrected z - scores.
Not exact matches
Then, Feng recognized a novel opportunity to directly
measure whether tDCS generates
EFs in deep brain areas among patients with movement disorders such as Parkinson's disease, who are often treated by implanting DBS electrodes.
Although models predict that tDCS would generate
EFs throughout the brain, there is no direct evidence demonstrating or
measuring these electric fields in a living person's brain.
To answer these questions, a team of MUSC investigators led by stroke neurologist and physician - scientist Wayne Feng, M.D., MS, attempted something that has never before been tried — they directly
measured tDCS - generated
EFs in vivo using deep brain stimulation (DBS) electrodes that were already implanted in patients with Parkinson's disease.
It was the first - ever
measured EF - 5 tornado, the highest category on the Enhanced Fujita scale, and the most powerful since 1999, with an estimated peak wind speed of 205 miles per hour.
Is there a scientific way to
measure «set point», and any published studies that show «set point» can indeed be lowered with IF /
EF?
The researchers examined the participants as they performed various tasks
measuring EF skills.
Skewing towards the conceptual in nature,
EF's projects have embraced the established as well as the younger artists in today's print market, editioning multiples & works on paper in equal
measure.
CEIP seeks to reward early investments in renewable energy and energy
ef ciency
measures that generate carbon - free electricity or reduce end - use energy demand during 2020 and / or 2021.
This thought experiment illustrates that the
EF not only fails to provide a robust
measure of ecological sustainability, but also offers poor guidance for policy - makers in identifying and evaluating options to improve use and management of natural capital.
The
EF carbon footprint
measure is also highly susceptible to assumptions about the carbon absorptive capacity of forests.
Yet even as a
measure of the human carbon footprint, the
EF uses an arbitrary methodology that is highly sensitive to its authors» assumptions.
Given that, as calculated by existing methods, humanity's global
EF is practically equivalent to its carbon footprint, it is essential to determine just how humanity's carbon shoe size is
measured.
Hence, virtually all of the ecological overshoot comes from the
EF's
measure of the rate at which carbon dioxide is accumulating in the atmosphere.
The
EF methodology
measures carbon footprint by calculating the hypothetical forest area needed to absorb all industrial carbon emissions, after discounting the fraction absorbed by oceans.
The
EF seeks to
measure humanity's use of renewable biological resources, which can then be compared to the planet's capacity to regenerate these resources.
Relations between symptoms of ADHD reported in the Preschool Age Psychiatric Assessment interview (PAPA), and
EF as
measured by the BRIEF - P (parent form), were investigated in a large, nonreferred sample of preschool children (37 — 47 months, n = 1134) recruited from the Norwegian Mother and Child Cohort Study (MoBa) at the Norwegian Institute of Public Health.
We conducted a quantitative meta - analysis of studies published between 1998 and 2008 on academic achievement, behavioral functioning, and
EF with the aim of providing aggregated
measures of effect size for these outcome domains.
When considering the influence of positive psychology constructs on
EF proficiency in adolescents, the
measure of dispositional mindfulness appears to outweigh that of specific self - compassion domains, when independent of contemplative training.
Within the adopted sample, current
EF was associated with
measures of early deprivation after controlling for intelligence quotient, with less time spent in the birth family before placement in an institution and lower quality of physical / social care in institutions predicting poorer performance on the
EF battery.
Future studies involving three (or more) time points in which the parental behaviors,
EF and academic outcomes were
measured at different time points would permit the underlying assumptions of stationarity and equilibrium to be tested formally (Cole and Maxwell, 2003).
At both time points children completed a battery of tasks designed to
measure general cognitive ability (e.g., non-verbal reasoning) and
EF (e.g., inhibition, cognitive flexibility, working memory).
Although the existing findings on the relations between parental behavior,
EF and academic ability reported earlier involved multiple time points, the presumed mediator was either
measured alongside the predictor (e.g., NICHD Early Child Care Research Network, 2003) or the outcome (Friedman et al., 2014).
The Memory /
EF included standardized
measures of RM, PM, and
EF and relevant neuropsychological, demographic, and medical data collected for the AMP.
To examine the specificity of
EF as a mediator of the effects of negative parent - child interaction and parental scaffolding on academic ability, we tested a second longitudinal model in which general cognitive ability (as
measured by the Matrix Reasoning task) was entered as a mediator between negative parent - child interaction, parental scaffolding and academic ability instead of
EF.
Alongside these results, Fitzpatrick et al. (2014) found that more traditional
measures of
EF partially mediated the relation between socio - economic status (SES) and children's academic ability in a sample of children aged between 3 and 5 years of age.
Secondly, individual differences in
EF (
measured at both Time 1 and Time 2) showed unique relations with children's academic ability.
The study used a structural equation modeling (SEM) framework, enabling the constructions of the latent factors
EF and ToM derived from multiple
measures, and therefore controlling the specific influences of each task or cognitive subdomain.
Table 2 also shows the correlations between each
measure of parental behavior and individual differences in
EF at Time 2.