Sentences with phrase «significance tests from»

Below, I've shown the detail behind the summary above, all using data and significance tests from he NAEP Data Explorer.

Not exact matches

Correspondence, in the sense specified, is the nature of truth, the meaning of truth; yet the test of truth that we most frequently employ in connection with the past is the test of coherence: historians and archeologists have nothing available to them that is not given in the present — this book, the reliability of which must be evaluated; this artifact, the significance of which must be construed — and coherence is the final test of their theories about the past built up from the givens of the present.

I have signed a law reducing the significance of testing for students, including eliminating standardized testing for students in grades K - 2 and removing standardized test results from students» permanent records for five years.

The data from von Frey testing on postoperative weeks 1 - 6 revealed statistically significant reductions of the 50 % withdrawal threshold in all three ligation groups, with the order of significance being L4 / L5 > L4 > L5.

Participants were excluded from further analyses if their hit rates during the fMRI session for grammatical sequences, ungrammatical sequences with category violations, or ungrammatical sequences with state violations (see Stimuli) fell below the 5 % significance level of performing above chance according to a binomial test.

Genetic counseling sessions are therefore more likely to focus on probabilities than on absolute certainties, especially when «variants of unknown significance» or «incidental findings» emerge from tests.

I can not stress enough the importance of the early diagnosis of autism, the significance of testing for harmful foods, and the complete elimination of these foods from a child's diet.

The significance of that is it prevents me from just sending them high - quality products for testing but selling something else (which is why I NEVER trust lab reports for supplements that companies sent directly to the lab for testing).

The significance of the coefficients on the private - and district - school indicators allows us to test whether there is a statistically significant difference between charter - school parents and parents from either of the other sectors, after adjusting for differences in the observable background characteristics of the parents they serve.

This material was adapted from «Defining and Requiring Academic Achievement,» a 2003 study of the history and significance of the Massachusetts Comprehensive Assessment System (MCAS) tests.

Almost all of the factors and smart beta strategies exhibit a negative relationship between starting valuation and subsequent performance whether we use the aggregate measure or P / B to define relative valuation.9 Out of 192 tests shown here, not a single test has the «wrong» sign: in every case, the cheaper the factor or strategy gets, relative to its historical average, the more likely it is to deliver positive performance.10 For most factors and strategies (two - thirds of the 192 tests) the relationship holds with statistical significance for horizons ranging from one month to five years and using both valuation measures (44 % of these results are significant at the 1 % level).

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).

However, by arguing in this way Courtney has only proven that he is absolutely clueless with respect to statistical analysis and the conclusion that can validly be drawn from the fact that a test for statistical significance fails.

Working from an example, we show how a composite may be objectively constructed to maximize signal detection, robustly identify statistical significance, and quantify the lower - limit uncertainty related to hypothesis testing.

Statistics is pretty much based on the random selection from a population and the tests of statistical significance generally tend to be based on the assumption that the population is normally distributed (gaussian if your into hiding simple ideas behind the names of dead mathematicians).

Right: global ocean heat - content (HC) decadal trends (1023 Joules per decade) for the upper ocean (surface to 300 meters) and two deeper ocean layers (300 to 750 meters and 750 meters to the ocean floor), with error bars defined as + / - one standard error x1.86 to be consistent with a 5 % significance level from a one - sided Student t - test.

Carrick, I am not sure which post you replied to, but how would you test the significance of a deviation from a long - term trend like this?

A joint test for the significance of the YAD age specific effects rejects that they are jointly zero although many individual parameters are not significantly different from zero and the individual year parameters flirt with significance at the 5 % level over the last 50 years of their life).

The significance of the coefficients on the yad variables is a test for whether their divergence from the other samples is statistically significant.

The minimum local p - values were obtained to address the global field significance, also known as the multiplicity problem, which results from a large number of parallel statistical tests (Livezey & Chen 1983).

Right: global ocean heat - content (HC) decadal trends (1023 J per decade) for the upper ocean (surface to 300 m) and two deeper ocean layers (300 — 750m and 750 m — bottom), with error bars defined as + / - one standard error x1.86 to be consistent with a 5 % significance level from a one - sided Student t - test.

From my memory let me offer a quick example: for an alternative hypothesis rho o something like 0.95 the power of the ADF (or maybe Elliot Rothenberg Stock test) at 5 % significance was around 10 % for N = 25 and over 80 % for big N, probably over 250.

Authors suggest treating significant results in secondary outcomes with caution because of the risk of type I errors from multiple significance testing.

Correction for overdispersion by scaling the SEs from overstating significance in statistical tests.26, 27 All tests were corrected for overdispersion.

Despite the low power from the limited sample, all inter-scale correlations demonstrated positive statistical significance indicating correspondence among these measures of test anxiety.

Being from a family of lower socioeconomic status, having a low reading age, and attending more than two primary schools led to significantly higher costs with t tests but just missed significance using bootstrap tests, where lower values for confidence intervals were negative.

The mean change in each from baseline and the difference between the groups in the amount of change were calculated with 95 % confidence intervals (unadjusted for multiple significance testing).

After correcting for the seven tested indirect effects (adjusted significance threshold remained.05), all the tested indirect paths were significant, except the path from self - esteem through avoidance motivation and social contact.

Presence of a significant indirect path from age 13 psychopathology to age 14 psychopathology through the level of an emotion was tested by using the IND command in Mplus, which calculates the joined significance of the indirect pathways according to the formula by MacKinnon and colleagues (MacKinnon et al. 2002).