Sentences with phrase «statistical validity of»

A7: We are collaborating closely with Bob Morse (U.S. News» director of data research) in order to ensure the statistical validity of our data and assign weights that make sense based on continuing discussions with large numbers of general counsel, lawyers, and law firm representatives.

Using basic inferential statistics such as the methods outlined here, legal professionals will be able to interrogate the statistical validity of their data and evaluate the significance of various quantitative legal metrics.

Seems to me that a very reasonable argument can be made about the statistical validity of any 5 run ensemble that includes a single «strange» run if you know the variability of a much larger group (eg Gavin's 200 runs).

The authorsí refusal to answer questions regarding the statistical validity of the model or to provide the model statistics and data add to the doubts about the theory.

Do you think it is interesting that he talks of how the authors «admitted» «over the weekend» that the 20th century analysis was not «robust,» — when the paper itself contains statements about the weak statistical validity of the 20th century projections?

Have you any comments on the relative physical and statistical validity of your methods compared with those of Nicola Scafetta?

Thomson said his order prevents PED from enforcing its evaluation system until «a trial on the merits where the court can be assured of the statistical validity of the data collection and reporting that feeds into the system.»

The next generation of the Grad School Survey (beginning in January 2000) will include improved mechanisms for increasing survey participation and determining the statistical validity of rankings.

Shows utter lack of understanding of the statistical validity of a representative sample.

Not exact matches

Not all of the above lists were created using conventional statistical or scientific methods, therefore their validity should be suspect.

This unlimited supply of replicas — «as many as we need for statistical validity,» Eren says — enables them to conduct destructive experiments, like firing from the Spot Hogg Hooter Shooter.

Sufficient information should be supplied to allow readers to judge whether any assumptions necessary for the validity of statistical approaches (e.g., data are normally distributed, survival data are consistent with proportional hazards in a Cox regression model) have been verified.

Yet, in many cases, statistical dating of evolutionary events indicated that the breakup of land masses occurred tens of millions of years before some species» ancestors evolved, bringing into question the validity of vicariance methods.

Looking for Darwin in genomic sequences — validity and success of statistical methods Zhai, W., R. Nielsen, N. Goldman and Z. Yang.

It suggests the biomedical community has been chasing statistical significance, potentially giving dubious results the appearance of validity through techniques like p - hacking — or simply suppressing important results that don't look significant enough.

Finally, researchers discourage the use of value - added modeling in teacher evaluation practices due to their low levels of statistical reliability across years and limited validity for detecting individual teacher effects (Darling - Hammond, 2012).

In an effort to gauge the external validity of our lottery estimates, we computed observational estimates that rely solely on statistical controls, with separate effects for schools in and out of the lottery sample.

While the sample was too small to claim much statistical validity and the sampling didn't necessarily yield representative responses, I love the idea of accomplished teachers systematically sharing their take on pressing questions and the fact that NNSTOY is working to make this happen.

Measurement researchers tend to focus on the feasibility of new assessments from a technical perspective (reliability and validity) and on their desirability (consequential validity), often relying on statistical procedures and self - reports.

ATI also conducts statistical analyses to establish the reliability and validity of Galileo assessments for use in educator effectiveness initiatives.

One widely publicized study, which created a statistical test of the validity of value - added measures, [10] found reason for concern.

Teachers objected to having educators» names and ratings published, and researchers raised questions about the validity of the statistical method used to determine teacher effectiveness: value - added analysis.

I have been discussing statistical reliability and validity of using these tests as a measure of school success.

It is someway short of the calculated sample required for statistical validity.»

Using an integrated and reliable statistical analytics tool such as Performance Matters Analytics ensures the validity of your measures.

Both the American Statistical Association, which is the largest organization in the United States representing statisticians and related professionals, and the American Educational Research Association have questioned the validity of using standardized test scores to measure teacher effectiveness and cautioned against using them for such purposes.

Critics, including some researchers, have raised questions related to the complexity and validity of statistical methods used to calculate value - added scores.

Of the three PTP metrics, APTP is the one that has the best argument for statistical validity, because it makes intuitive sense that the number of adoptions will depend on the number of people in the communitOf the three PTP metrics, APTP is the one that has the best argument for statistical validity, because it makes intuitive sense that the number of adoptions will depend on the number of people in the communitof adoptions will depend on the number of people in the communitof people in the community.

Unlike the original reconstruction of Mann et al (1998), the reconstruction that McIntyre and McKitrick produced using the censored data set fails standard statistical tests for validity, and, in the words of the NCAR group, is «shown to be without statistical and climatological merit».

Mann's claim that the Oxburgh panel «exonerated» Mann on counts ranging from scientific misconduct to statistical manipulation to proper conduct and fair presentation of results has no more validity than his claim to have been awarded a Nobel prize for his supposedly seminal work «document [ing] the steady rise in surface temperatures during the 20th Century and the steep increase in measured temperatures since the 1950s.»

Which particular part or parts of established AGW science has been challenged quite well (ie overturned or has enough evidence to raise doubts to statistical validity).

And now tell me, please, what the «irrefutable data», the empirical, statistical evidence supposedly was for the scientific validity of the assertion of a «global warming standstill» or a «global warming stop» in recent years.

I can not comment on the validity of his statistical analysis as my stats aren't up to it, except to say that in my experience statistics is wholly subjective and no two statisticians will give you the same answer to the same question.

In case of doubt, histograms of the relative difference might be helpful in determining the validity of statistical estimators.

As with any statistical tool, the validity of the result depends on both the expertise and the integrity of the user.

So the ultimate way of judging the validity of statistical methods is to apply them in relatively simple contexts (such as this) and check whether the results stand up to well - considered common sense scrutiny.

It would take a review of around 1800 to have any kind of statistical validity.

Extracting the cycles from the whole period, and then arbitrarily «bending» the result in the middle to improve the fit, however, seems like an ad - hoc procedure of dubious statistical validity.

Interesting to note overall, scientists and statistical analysis experts who dispute the validity of the «overwhelming scientific consensus» in lengthy detail would be barred from testifying about it because there is an «overwhelming scientific consensus.»

Could we also add to 3) that, without the (statistical processing that gave the) uptick, people would have wondered why there was no recent warming in the reconstruction, and therefore questioned the validity of the reconstruction in earlier times as well?

Summary of how they got to this finding: They use CMIP models which, if not outright flawed, have not proved their validity in estimated temperature levels in the 2030 to 2070 timeframe, are used as the basis for extrapolations that assert the creation of more and more 3 - sigma «extreme events» of hot weather; this is despite the statistical contradiction and weak support for predicting significant increases in outlier events based on mean increases; then, based on statistical correlations between mortality and extreme heat events (ie heat waves), temperature warming trends are conjured into an enlargement of the risks from heat events; risks increase significantly only by ignoring obvious adjustments and mitigations any reasonable community or person would make to adapt to warmer weather.

Certainly nothing you have ever presented in the small fraction of your campaign to flood the blogosphere with your opinions that I've read has touched the validity of BEST, compares with it for technique, precision or expertise, or reflects the least dimension of actual statistical knowledge.

I've previously drawn attention to this need to ensure validity of statistical inference as a reason why climate modelling is not immune from these findings, but some here continue to seek refuge in the first point above i.e. this can't be right because it is inconsistent with the science.

It will also «review the utility and objectiveness of the criteria in the Diagnostic and Statistical Manual of Mental Disorders (DSM - IV) and will comment on the validity of current screening instruments and their predictive capacity for accurate diagnoses.»

Waiting lists control for important threats to internal validity, including history and maturation, effects of instrumentation, effects of repeated testing, and statistical regression.11

Sexual abuse, family environment, and psychological symptoms: On the validity of statistical control.

Topics include (1) research design: elements of the research process, types of designs, program evaluation; (2) ethical considerations of research: informed consent, research with diverse and vulnerable populations, research with children, human subjects review; (3) basic measurement concepts: validity, reliability, norms, score interpretation; (4) basic statistical concepts: frequency distributions, central tendency, measures of variability, correlation.

Topics include (1) elements of the research process; (2) types of designs, program evaluation; (3) ethical considerations of research: informed consent, research with diverse and vulnerable populations, research with children, human subjects review; (4) basic measurement concepts: validity, reliability, norms, score interpretation; and (5) basic statistical concepts: frequency distributions, central tendency, measures of variability, correlation, normal curve, hypothesis testing, significance tests.

Statistical methods included (a) exploratory and confirmatory latent variable analyses of item data, (b) evaluation of the internal consistency of the latent dimensions, (c) evaluation of latent structure concordance between school year samples, and (d) preliminary evaluation of criterion - related validity.

Novel latent statistical models of child adversity, depression, anxiety, and psychotic experiences were produced, with concurrent and prospective validity.