Sentences with phrase «predictive measure of»

In fact, this test endeavors to provide parents and educators with a predictive measure of an individual student's college and career readiness by mere achievement of educational standards in English Language Arts and Mathematics.

Can you use someone's level of social support as a predictive measure of how at risk the mom is of suffering from postpartum depression

Not exact matches

Toronto - based Trendspottr is among a wave of «predictive analytics» firms that measure online trends in real - time.

In sum, we measured 10 areas that are predictive of high - performing cultures and combined the below scores with the employee Net Promoter Score to create a cumulative CultureIQ Score (CIQ), which is what determined the ranking.

In science, such an utter failure on one's predictive track record is a fair and objective measure of the falsification of one's hypotheses.

In their October 2009 paper entitled «Risk Sentiment Index (RSI) and Market Anomalies», Guy Kaplanski and Haim Levy introduce the Risk Sentiment Index (RSI) as a measure of the residual risk contained in VIX after accounting for the statistical and economic variables most predictive of future stock market volatility (such as previous month actual volatility and VIX).

In the February 2009 version of their paper entitled «Not so Dumb Money: The Prognostic Power of Investor Sentiment over Time», JÃ ¶ rdis Hengelbrock, Erik Theissen and Christian Westheide measure the predictive power of German and U.S. investor sentiment indicators and test whether the market responds immediately to the release of new sentiment data.

In the July 2010 version of their paper entitled «The Impact of Investor Sentiment on the German Stock Market», Philipp Finter, Alexandra Niessen - Ruenzi and Stefan Ruenzi test the predictive power of a composite sentiment measure combining consumer confidence, net equity mutual funds flow, put - call ratio, aggregate trading volume, initial public offering (IPO) returns, number of IPOs and aggregate equity - to - debt ratio of new issues.

That said, the predictive power of these two alternative funding measures relative to that of credit growth is relatively small.

In the November 2015 version of their paper entitled «Stock Return Predictability and Investor Sentiment: A High - Frequency Perspective», Licheng Sun, Mohammad Najand and Jiancheng Shen measure the predictive power of half - hour changes in investor sentiment for subsequent half - hour U.S. stock market returns during the trading day.

But his measure is only an at - a-glance résumé measure, one that isn't intended to be evaluative of actual play or predictive of future play.

«Collectively, data on eye movement testing demonstrates a high degree of sensitivity and predictive value as an outcome measure for concussion,» observes the study.

Recentanalysis by the Measures of Effective Teaching (MET) project found that teachers» student survey results are predictive of student achievement gains and produce more consistent results than classroom observations or achievement gain mMeasures of Effective Teaching (MET) project found that teachers» student survey results are predictive of student achievement gains and produce more consistent results than classroom observations or achievement gain measuresmeasures.

Recent analysis by the Measures of Effective Teaching (MET) project found that teachers» student survey results are predictive of student achievement gains and produce more consistent results than classroom observations or achievement gain mMeasures of Effective Teaching (MET) project found that teachers» student survey results are predictive of student achievement gains and produce more consistent results than classroom observations or achievement gain measuresmeasures.

Deem said the ferret - based measures are one - third as predictive as the pEpitope method that has consistent performance over decades of flu data.

Despite the plethora of research, more needs to be done, said the report, which ends with a wish list of critical research needs including better predictive capabilities and models, as well as ways to measure the socio - economic impacts of drought outside of money spent by the Forest Service suppressing fires.

But, while scientists experimentally measured a range of -4 % to +1 % change in volume as proteins immersed in water move from the folded to unfolded state, predictive computation to match those measurements has been harder to come by.

They found that measures of self - efficacy — a personality trait that underlies how much you believe in your own abilities to accomplish a goal (as well as deal with the stresses that accompany working toward that goal)-- were predictive of how risky a climber was willing to get.

Dr. Fuster adds: «For our patients» lives and for the health of our global economies we need to improve our predictive measures for cardiovascular disease and can no longer just rely on traditional risk factors.

Here's how van Dijk puts it: «The full model has an «area under curve» — a measure of the model's predictive power — of 0.83 while the six - feature model presented here has an AUC of 0.75.

Growth in depressive symptoms were predictive of the incidence of sexually transmitted infections while growth in BMI was associated with several health risk measures, including blood pressure, blood glucose, and overall health rating.

«We're hoping to impress upon the scientific community the notion that for those of us who might be interested in predicting an outcome of interest, possibly with rather complex or high dimensional data, we might gain by reconsidering the question as one of how to search for highly predictive variables (or variable sets) and using statistics that measure predictivity to help us identify those variables to then predict well,» Lo said.

The advent of large - scale neuroimaging studies has shown that neural measures can be strongly predictive of individual differences in fluid intelligence (e.g. Kievit et al., 2014; Ritchie et al., 2015).

Biomarkers that correlate with AD polygenic risk score, a measure of the polygenic architecture of the disease and highly predictive of AD status, would be excellent candidates.

Writing in an early online edition of Circulation, Dr Dexter Canoy (University of Cambridge, UK) and colleagues report that increased abdominal obesity — measured in terms of waist - to - hip ratio, was more «consistently and strongly» predictive of coronary heart disease (CHD) than BMI among men and women participating in the European Prospective Investigation Into Cancer and Nutrition in Norfolk (EPIC - NORFOLK) study.

Before and after, the researchers measured inflammatory markers and other markers predictive of future disease risk, especially heart disease.

Are any of the ways we can measure training volume actually causative (or at least strongly predictive) of muscle growth?

Keep you eye on him and this line of research on using survey responsiveness and carelessness as measures of character skills with strong predictive power for student success.

Duckworth's proof lies in research showing that her measure of grit is predictive of accomplishments, such as thriving at West Point or advancing in the National Spelling Bee.

Predictive Learning Analytics relies on a collection of techniques that identify and measure patterns in learning data and extrapolate future behaviors.

That is, the true test of the predictive power of «noncog» measures is not whether they are correlated with cognitive measures (like achievement scores), but whether they are correlated with later life outcomes.

The fact that grit or other character skills may not be strongly predictive of achievement test results is not surprising if these non-cog measures capture something that is important independently of cognitive ability.

Our approach to achieving this goal focuses on three objectives: (1) to develop a reliable, predictive panel of biomarkers (including both biological and bio-behavioral measures) that can identify children, youth, and parents showing evidence of toxic stress, and that can be collected in pediatric primary care settings; (2) to conduct basic, animal and human research on critical periods in development and individual differences in stress susceptibility, thereby informing the timing and design of a suite of new interventions that address the roots of stress - related diseases early in the life cycle; and (3) to build a strong, community - based infrastructure through which scientists, practitioners, parents, and community leaders can apply new scientific insights and innovative measures to the development of more effective interventions in the first three postnatal years.

Not surprisingly, parent socioeconomic status is strongly predictive of student test scores, and, looking at simple correlations, we find that less - advantaged students do tend to be assigned to teachers with lower VA measures.

Also included will be an exploration of the following: • Research - based methodologies and measures for identifying at - risk students • A step - by - step process to create and implement an Early Warning System • Existing models in use today, reviewing the most predictive indicators and cut points.

Third, a fundamental feature of the effective implementation of these standards is the creation and use of measures that assess success in learning that is predictive of college and career success.

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

I hope this article provides cues on how you can use our framework to measure and enhance the learnability or learning effectiveness of your online courses, how you can validate the predictive Learnability with your learners, and see if you are on target or what further measures will help you hit the bull's - eye.

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.

We will finally have a fairly easy to obtain measure of an important non-cognitive skill that is predictive of later life success.

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.

My student, Collin Hitt, and colleague, Julie Trivitt, have an amazing paper on how we can efficiently measure an important non-cognitive skill that is strongly predictive of later life outcomes.

The number of items that students answered was predictive of the highest level of education students attained by 2010, controlling for a host of factors including measures of their cognitive ability.

The best of those examples focused on (1) measuring student outcomes, (2) accounting for multiple aspects of student readiness, and (3) ensuring that the measures selected are the most predictive of postsecondary success.

The law requires districts to adopt «multiple objective academic measures,» which could include statewide standardized test results, student portfolios and other placement tests predictive of math readiness, interim assessments and grades.

This is telling, and it brings us back to the two premises (out of three) that guide the MET project — that value - added measures should be included in evaluations, and that other measures should only be included if they are predictive of students» test score growth.

Partnership with SRI International (SRI) and School Readiness Consulting (SRC) to support the implementation of VPI + through the collection and use of formative program measures, summative child assessments, and cost - effectiveness data to provide feedback for continuous improvement of instruction and program implementation, administer predictive tests and analyze results to answer pressing questions, and communicate results with VDOE, school divisions, and teachers

To get the measure as «reliable» as they did without sacrificing too much predictive power, the Gates team had to observe each teacher at least four different times by at least two different coders, including one coder outside of the school.

Integration of Renaissance Flow 360 and HMH's next generation math and English language arts programs will empower educators with predictive student growth measures BOSTON and WISCONSIN RAPIDS, Wis. (April 4, 2018)-- Global learning company Houghton Mifflin Harcourt (HMH) and -LSB-...]

Screening assessment involves testing all students with a brief, but predictive, measure of key skills.