Sentences with phrase «predictive effect on»

In contrast, parental monitoring had a substantial negative predictive effect on children's school achievement in the context of other variables.

This confirms that professional identity (X) has a predictive effect on anxiety (Y).

Therefore, in predicting college attendance With the baseline controls in X, without the quadratic terms, with the partition on subject and grade, this gives The predictive effect on college attendance of 0.51 percentage points is considerably larger than the effect based on within school variation: percentage points.

With the baseline controls, using the factor model, an SD increase in the teacher factor based on test scores has a predictive effect on college attendance of 0.16 percentage points.

Researchers set out to see if these pregnancy conditions had a predictive effect on the father's chances of developing them later in his life, since a live - in partner shares similar dietary and exercise habits, both important determinants of these conditions.

Not exact matches

These risks and uncertainties include, among others: the unfavorable outcome of litigation, including so - called «Paragraph IV» litigation and other patent litigation, related to any of our products or products using our proprietary technologies, which may lead to competition from generic drug manufacturers; data from clinical trials may be interpreted by the FDA in different ways than we interpret it; the FDA may not agree with our regulatory approval strategies or components of our filings for our products, including our clinical trial designs, conduct and methodologies and, for ALKS 5461, evidence of efficacy and adequacy of bridging to buprenorphine; clinical development activities may not be completed on time or at all; the results of our clinical development activities may not be positive, or predictive of real - world results or of results in subsequent clinical trials; regulatory submissions may not occur or be submitted in a timely manner; the company and its licensees may not be able to continue to successfully commercialize their products; there may be a reduction in payment rate or reimbursement for the company's products or an increase in the company's financial obligations to governmental payers; the FDA or regulatory authorities outside the U.S. may make adverse decisions regarding the company's products; the company's products may prove difficult to manufacture, be precluded from commercialization by the proprietary rights of third parties, or have unintended side effects, adverse reactions or incidents of misuse; and those risks and uncertainties described under the heading «Risk Factors» in the company's most recent Annual Report on Form 10 - K and in subsequent filings made by the company with the U.S. Securities and Exchange Commission («SEC»), which are available on the SEC's website at www.sec.gov.

More importantly, it could also inspire study in and be part of a larger collection of evidence to support the predictive and contributory effects of mini flash crashes on larger flash crashes or on market crashes more broadly.

This special section of Science focuses on the current state of knowledge about the effects of climate change on natural systems, with particular emphasis on how knowledge of the past is helping us to understand potential biological impacts and improve predictive power.

To assess the predictive power of the GE changes between the groups, we employed machine - learning procedures to construct classifiers to predict group membership based on pre - versus post-intervention GE (vacation effect) and regular versus non-regular post-intervention GE data (meditation effect).

For while the term «precursor» may imply a kind of predictive or even pre-emptive effect on the rest of the season, many of the two groups» most memorable calls did no such thing.

This study measures the predictive effect of teachers on adult outcomes.

The predictive effects for test scores based on the test scores of other classes are and.

A factor model can provide predictive effects that condition on averages over many classrooms, with and without the same teacher, and can provide a limit as the number of such classrooms tends to infinity.

When the factors are constructed using data on college attendance, the predictive effect of a 1 - SD increase in the teacher factor is 0.79 percentage points.

More directly, I can define teacher and school factors based on the college attendance data and measure the predictive effect of the teacher factor on college attendance.

These estimates are lower bounds on the predictive effect of an SD increase in the teacher factor (Gco) based directly on college attendance.

The goal of the paper is to provide predictive effects of teachers and schools on these outcomes.

With the parent characteristics added to the baseline control vector, the predictive effects for college attendance based on the college attendance of other classes are and.

I would like to have predictive effects that condition on averages over many classrooms, with and without the same teacher, and consider a limit as the number of such classrooms tends to infinity.

Repeating the analysis above with these two measures of parent characteristics added to the baseline control vector gives the following predictive effects for college attendance based on test scores which are somewhat lower than the results above using the baseline controls.

I would like to have predictive effects that condition on averages over many classrooms, with and without the same teacher.

The predictive effects are based on observing multiple classrooms with the same teacher.

These predictive effects can be based on residuals, where first we form predictions based on observed variables (X) such as class size, years of teacher experience, lagged test scores, and parent characteristics.

I shall rely on the factor model (below) for my discussion of the magnitudes of predictive effects.

This study analyzed the predictive relationship between reading fluency and school outcomes across school levels (primary, secondary, and high school), after controlling on the effect of reading

We know from the body of school choice research on the experimental effects on test scores that short term test scores may not be predictive of long term achievement or attainment.

Toward that end, the association has developed an accountability tool for measuring charter school performance that uses a regressive - based predictive model to filter out non-school effects on the students.

About 1980ish, some old ideas like the greenhouse effect were brought out of mothballs and re-examined with new tools and techniques; simultaneously several researchers and theoreticians released their notes, published, or otherwise got together and there was a surprising consilience and not a small amount of mixing with old school hippy ecologism on some of the topics that became the roots of Climate Change science (before it was called Global Warming); innovations in mathematics were also applied to climate thought; supercomputers (though «disappointing» on weather forecasting) allowed demonstration of plausibility of runaway climate effects, comparison of scales of effects, and the possibility of climate models combined with a good understanding of the limits of predictive power of weather models.

Modern Science on the other hand rests on scientific deduction by postulated Cause & Effect in models of the real world with predictive power.

We can be «so sure» that we're not just seeing warming because CO2 isn't the same as warmth, and the climate is a complex system ruled by patterns of chaos on some timescales, but linearly predictive in other timescales on large enough regions for some effects.

When respondents were asked for their perspectives on AI and its effect on the legal industry, 71 % predicted it would have the biggest impact on electronic discovery in the areas of case assessment and predictive coding (TAR), coming in next at 41 % was document automation, followed by legal research (40 %), contract analysis / automation (34 %), and case / outcome prediction (24 %).

This article addresses the Fourth Amendment consequences of this police innovation, analyzing the effect of predictive policing on the concept of reasonable suspicion.

The effect of family influences during youth and early adolescence on later young adult inflammatory processes are anticipated by predictive adaptive response (PAR) models (Gluckman et al., 2005; Rickard and Lummaa, 2007), which note that if earlier family circumstances signal increased probability of future injury and / or pathogen exposure, it is potentially adaptive to prepare a developing young person to have greater inflammatory response potential (cf. Cole et al., 2011).

The utilities were assumed to remain constant over time, with missing values imputed using predictive mean matching and complete cases only to generate estimates of the cost per QALY gained from FLNP over 5 and 10 - year time horizons, based on linear extrapolation of effect over time.

The predictive validity is expected to change after 4 to 8 weeks because of the varying nature of life events and daily worries and their effect on perceived stress.

In sum, participation in the full intervention during the elementary grades was predictive of enduring significant positive effects through age 18 years on students» bonds to school, achievement, and school behavior.

The purpose of this study is to examine the predictive effect of life satisfaction and loneliness level of adolescents with divorced parents on resilience.

In Dr. Le's meta - analysis, though, a more recent and much stronger test of any factor's predictive mettle, the IOS narrowly missed the cutoff for a «large effect» on future relationship status.

Thus, the predictive accuracy of a one time screen imposes a disadvantage on the potential effect of early intervention programmes to prevent antisocial behaviour in children and adolescents.

Self - compassion moderates the predictive effects of implicit cognitions on subjective well - being.

Dr. Kerr also has worked on large studies of hospitalized suicidal adolescents to compare the predictive validity of assessment instruments and dimensions of suicidal thinking; to identify subgroups of adolescents at high risk for suicide attempt; and to understand the effects of a social support intervention on suicidal thoughts and behaviors.

As such, family factors were predictive of unique variance above and beyond adherence, indicating direct and indirect effects of family variables on metabolic control.

Using a developmental, social — ecological approach to understand the etiology of health - risk behavior and inform primary prevention efforts, we assess the predictive effects of family and neighborhood social processes on youth physical fighting and weapon carrying.

In addition, since from a practical - clinical perspective effect sizes are the most relevant objective of the analyses, and due to the fact that p - values are strongly dependent on sample size, all effect sizes for the relationships analyzed have been estimated by the confidence interval for the parameters, with the R2 measuring the global predictive capacity of the models (adjusted to the covariates).

Whereas short and long - term former relationships had a predictive power for less emotional insecurity, less conflict tolerance and more dysfunctional conflict styles in the current partnership, there was no effect of earlier relationship experiences on partnership satisfaction and future orientation.

Moreover, although integrative models were tested by using structural - equation modelling or hierarchical regressions to demonstrate the predictive effect of positive youth development on problem behaviour (Jessor et al. 2003; Lent et al. 2005), these cross-sectional studies did not examine the reverse predictive effect of problem behaviour on positive youth development.

Effect of disease prevalence on positive and negative predictive values with sensitivity and specificity set to 25 % and 95 %, respectively.

This study, drawing on data from the 2002 Survey of Approaches to Educational Planning (SAEP), examined the predictive effects of parenting practices and parenting style on children's school achievement, and the predictive effects of parental expectations and parental beliefs on parenting style for 6,626 respondents with children aged 5 — 18 years in Canada.

This study used a regression analysis to explore the predictive effect of distress on the coping strategies IVF patients use.

The most robust studies are those that used longitudinal designs and controlled for time 1 levels of distress or well - being before examining the predictive effect of time 1 psychosocial variables on time 2 psychological adjustment.