Sentences with phrase «predictive measures in»

I have tinkered with weights to make recent games count for more — a common method for predictive measures in other sports — but I've never found an approach that actually made my numbers better.

Not exact matches

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

Willy Schlacks told me that he sees an even bigger opportunity in more advanced analytics, such as using predictive analysis to lower maintenance costs, using drones to monitor entire construction sites and aggregating data so that contractors can measure their performance against industry benchmarks.

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 VIXIn 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 VIXin 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.

The Valuentum Dividend Cushion ™ score shown in the table below is the measure in the year before the firm cut its dividend, so it represents a predictive indicator.

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 daIn 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 dain investor sentiment for subsequent half - hour U.S. stock market returns during the trading day.

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.

And, you know, psychologists can actually turn that into a pretty solid statistical measure and, you know, IQ scores are turned out to be very predictive in the sense that you can take someone's IQ score as a chi - square in predicting about their lives.

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.

One is that «it is meaningless as a predictive measure,» he says, meaning that publishing a paper in a high - impact journal does not necessarily mean that it is more likely to be cited.

In turn, sharing scientific and indigenous predictive capabilities is meant to improve coastal ice interpretation and prediction based on satellite imagery, assist communities refining public safety measures, and to add local sea ice to parameters used in assessing global climate change in the ArctiIn turn, sharing scientific and indigenous predictive capabilities is meant to improve coastal ice interpretation and prediction based on satellite imagery, assist communities refining public safety measures, and to add local sea ice to parameters used in assessing global climate change in the Arctiin assessing global climate change in the Arctiin the Arctic.

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).

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.

Although our results suggested such measures could be reliable and predictive, even with students as young as 4th grade, more work needs to be done to evaluate their usefulness in younger grades.

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.

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.

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.

In the coming years, it will be important to track whether or not the measures maintain their predictive validity as they are used for tenure decisions, teacher evaluations and merit pay.

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.

By producing a growth measure for each student that is predictive of performance on high stakes tests and, for the first time, deeply connected to instructional resources in the core curriculum, the strategic partnership gives educators more time and support to focus on differentiating instruction.

Likewise, students» reports of their study habits in eighth grade, and their responses on a grit scale measuring perseverance in the middle grades, are not predictive of their performance in high school beyond their current grades and attendance.»

Measure competencies associated with highly effective teachers and invest in research that will improve how predictive those measures are for teacher effectiveness.

Finally, studies focused on the development of measures of teacher competence have documented that teachers» ability to analyze student thinking as portrayed in brief video clips of classroom lessons is predictive of their teaching effectiveness (Kersting, Givvin, Thompson, Santagata, & Stigler, 2012).

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 MathematicIn 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 Mathematicin English Language Arts and Mathematics.

We use longitudinal data from Washington State to provide estimates of the extent to which performance on the edTPA, a performance - based, subject - specific assessment of teacher candidates, is predictive of the likelihood of employment in the teacher workforce and value - added measures of teacher effectiveness.

A value - added measure based on a standardized test score is primarily predictive of the influence of teaching on standardized test scores; and value - added measures are found to be strong predictors in this capacity.

Contrary to expectations, few of the measures of the quality or the experience of an intern's cooperating teacher are predictive of workforce entry in the expected direction.

In your daily circumstance, you encounter the predictive measures that count your every motion on the World Wide Web.

Margin Debt in the Stock Market is a potentially predictive measure.

In the top three size quintiles, accounting for about 94 % of total market value, the enterprise multiple is a highly predictive measure, while book - to - market is insignificant.

The measures aren't predictive of future performance, and the risk adjustment is too short term in nature.

In fact, geology has long functioned in significant measure as a descriptive rather than predictive sciencIn fact, geology has long functioned in significant measure as a descriptive rather than predictive sciencin significant measure as a descriptive rather than predictive science.

I suggest that in science, one's predictive record is perhaps the ONLY objective measure of one's competence, and as such, the IPCC has completely failed.

Ari: [29:16] Joe, on that point, it was interesting, when we were doing the research, that 88 percent of the people, both in - house counsels and law firm lawyers, wanted to learn more about measuring and understanding the effectiveness of predictive coding.

In the future, it will be important to obtain longitudinal assessments and examine the predictive power of measures of social supports in determining severity and persistence of depressive symptomatology over timIn the future, it will be important to obtain longitudinal assessments and examine the predictive power of measures of social supports in determining severity and persistence of depressive symptomatology over timin determining severity and persistence of depressive symptomatology over time.

With respect to predictive validity, regressions sought to examine whether the CERS - M is able to predict indicators of anxiety, measured three months later and in doing so, to complement the concomitant validity analysis.

In summary, the reliability and validity data reported for the measures examined in this review are quite impressive, with two exceptions: (a) the quality of the psychometric data is poor for the subscales of some measures, and (b) there is little concurrent or predictive validity for most measures of perceived self - concept and self - esteeIn summary, the reliability and validity data reported for the measures examined in this review are quite impressive, with two exceptions: (a) the quality of the psychometric data is poor for the subscales of some measures, and (b) there is little concurrent or predictive validity for most measures of perceived self - concept and self - esteein this review are quite impressive, with two exceptions: (a) the quality of the psychometric data is poor for the subscales of some measures, and (b) there is little concurrent or predictive validity for most measures of perceived self - concept and self - esteem.

In a series of six studies comparing the new method of measuring self - congruity to trait - by - trait analysis, Sirgy et al. [13] found that the global method had higher predictive validity of various behaviors including brand preference, product form preference, brand attitude, program choice and consumer satisfaction.

Batteries of biomarkers that measure allostatic load (also termed allostatic overload to highlight pathophysiology of the extreme)(38) tap into the major mediators of allostasis along with some key secondary outcomes, such as body mass index or waist — hip ratio and glycosylated hemoglobin (39), and provide a broad - based assessment of the dysregulation of these adaptive systems that has turned out to have predictive value in a variety of epidemiologic studies (40).

Considering the relevance of the affective dimension of the psychopathic personality in developmental and predictive models of youth conduct problems, the Inventory of Callous - Unemotional traits (ICU) has been developed as a reliable and effective measure of callous — unemotional traits (CU) in childhood and adolescence.

He is developing measures based in dynamic systems theory for dyadic infant - mother (adult) interactions and their predictive relations to later outcome.

In fact, there are likely even more domains of childhood adversity that might be measured and added that could further improve its predictive ability, for example, low IQ, 40 parental death, and food scarcity.