Sentences with phrase «does significance testing»

(By contrast, Amrein and Berliner did no significance testing whatsoever, neglecting one of the oldest and most basic tools of social - science research.)

Steve, unfortunately for this station the raw data ends in 1984, so it's a bit hard to say much about a difference in slope between raw and adjusted data from 1970 - 1984 (I would have to do a significance testing to see if you even have enough data records for any slope to be significant for only 15 years of observations).

Not exact matches

Anyone who knows how to run tests of significance can do it themselves, the numbers are all right there in the studies.

I have advocated before that one way to mitigate problems with null - hypothesis significance testing is for editors of scientific journals to employ «results blind» decision making in determining whether to publish and make it be known that they are doing so.

«If the [brochures] do not adequately describe the studies or do not provide adequate context that would allow the IRBs to make a sound judgment about their significance for human testing, then this is a serious problem,» he says.

Analysis of these data in the overall intent to treat population showed an advantage in PFS favouring arm A that did not reach statistical significance; Median PFS was 6.4 months in the FOLFOX plus cetuximab arm A compared to 4.5 months in the FOLFOX arm B (hazard ratio [HR] 0.81; 95 % CI 0.58, 1.12; log - rank test, p = 0.19).

Not only does the work have potential significance to earthquake forecasting, Johnson said, but the approach is far - reaching, applicable to potentially all failure scenarios including nondestructive testing of industrial materials brittle failure of all kinds, avalanches and other events.

When it comes to statistical significance and hypothis testing, I do not recall whether the trends have been tested against a null hypothesis, but the short - term variability is quite high compared to the trend in the WM2003 case and the series is short, so I doubt the «trend» is significant (just by eyeballing).

However, this does not diminish the significance of the substantial increases in performance on the skills tested, especially for minority students.

Alongside teachers, I am curious how continuing annual testing in grades 3 - 8 and once in high school reduces «the burden of testing on students and teachers, making sure that tests don't crowd out teaching and learning» and how the continued significance of student test scores (despite the law's important shift to include multiple measures of success for students) will alter a test - prep culture that narrows the curriculum.

The engine in our test car was punchy and we didn't feel turbo lag of any significance.

You should reject all claims that an effect does not exist simply because a statistical test fails to declare significance.

Previous vaccination does not prevent infection, and the significance of a positive test result in a vaccinated cat can not be assessed.

I have pointed out that both MBH98 and WahlAmman2007 fail a test of significance for R. I do not claim that the R statistic is the only test of significance but it is a very important one.

The centered PCA is bad statistics, and just because no single significance test is objectively the best in all circumstances does not mean that you can cherry pick significance tests until you find one you like and ignore R2.

Please can you identify a statistical authority (eg Cressie, Ripley etc) with a section or page number as to why it does not matter that neither of these reconstructions pass a significance test for R and yet R is widely used in similar proxy reconstructions elsewhere (including my own proxy reconstruction work)?

Both MBH98 and WahlAmman2007 fail a significance test on R. (I am aware MBH98 did not quote R, but it was shown by MM that it would fail this test).

By the way, Alan, if you find someone who can do the work, it is possible to test significance over shorter time periods:

In doing so, you also need to account for the fact that you're performing multiple tests, of course, and adjust your significance threshold accordingly.

it is important to recognize that an inherent difficulty of testing null hypotheses is that one can not confirm (statistically) the hypothesis of no effect.While robustness checks (reported in the appendix), as well as p values that never approach standard levels of statistical significance, provide some confidence that the results do not depend on model specification or overly strict requirements for statistical significance, one can not entirely dismiss the possibility of a Type II error.

We include all values, including those that do not pass a significance test.

The failure of the test for statistical significance in a time series does not allow the conclusion that a trend is absent.And «stopped» means the same as absent.

Values that do not pass a significance test at 95 % confidence are not included.

Look at all the significance tests and tests of the null hypothesis done by climate scientists.

You don't realize that there is no magic «sigma» of significance where the test produces a «Yes» or «No» answer.

If you weight the 5 different means equally (and assume the sets are independent) and perform a t - test, you probably do get 2 - sigma significance.

There is a huge tendency to try to determine the statistical significance of the smallest possible sample and when it doesn't pass the statistical test to argue that we can't say whether or not there is a trend, or whether or not there is an AGW contribution.

Statistical comparisons are not provided: readers do not even get a correlation coefficient, let alone a significance test.

The point is that the test for statistical significance over such a short time span does not have useful statistical power — there is insufficient data to be able to reject the null hypothesis even when it is false.

hyperbole, it doesn't need anything like a million datapoints, I am just pointing out that you need to do an analysis of the power of the test before you can claim that the lack of statistical significance is meaningful.

EJN do not provide a significance test of the interdecadal differences in the Icelandic sea level pressures (half of the NAO) for the active versus quiet major hurricane regimes.

Why does he dance around saying that McKitrick used an incorrect test of significance?

The GISS temperature series does not meet the theoretical requirements that would allow you to make the significance tests you are quoting.

The story didn't indicate whether any significance tests were done on the data, and without the exact baseline on the % of reversals of the lower court for these cases, I couldn't do the statistics myself.

Test of equality of health care cost means for patients with a medical condition according to their FP and patients with Health anxiety were done by computing the bootstrap test statistic achieved significance level (ASL)[Test of equality of health care cost means for patients with a medical condition according to their FP and patients with Health anxiety were done by computing the bootstrap test statistic achieved significance level (ASL)[test statistic achieved significance level (ASL)[38].

This decision contains sage words of wisdom with respect to how to assess credibility of witnesses, how we should approach the «best interests of the child» test, what is the real significance of «primary care parent», what sort of evidence one should present to the court re «best interests», the effect of domestic violence allegations, abuse allegations, what does «shared parenting» mean, what does «joint custody» mean and when should it be ordered, and the importance of past conflict.

The Chi - square test on this distribution did not approach significance (Chi - square =.68, df = 2, p =.711).

Standardized coefficients for illustration purposes only as Hayes has proposed that standardizing variables for the MEDIATE analyses as we did for this table does not result in accurate confidence interval estimates; we report them as a heuristic to understand the magnitude of effects, simply based on significance testing done with unstandardized variables