Readers need not get caught up in more - complicated analyses, such
as significance testing, effect sizes, and even regression - statistical methods that Raymond and Hanushek criticize us for not using.
Not exact matches
If at some point you want to run more than just a split
test (comparing only two variables), this tool will allow you to add
as many variations
as you'd like to analyze
significance on each of them.
1) Henry admonishes Christians to recognize the
significance of «presuppositional philosophy» in the determination of truth and the role of «logical consistency
as a negative
test of truth.»
It may also be subjected to the
test of determining whether or not the knowledge is also factual or true in an empirical historical sense, so far
as any such
test is possible in connection with it, but it must always be recognized that although historical knowledge can have this kind of
significance, this kind of
significance is not limited to knowledge that is also historical.
The
significance of the historical Jesus for Christian faith is that knowledge of this Jesus may be used
as a means of
testing the claims of the Christs presented in the competing kerygmata to be Jesus Christ.
Statistical
tests of
significance such
as chi - square
tests were used for ordinal and categorical variables.
In the
test, the monkeys judged «no dots»
as the number closest to one, thereby giving it quantitative
significance at the start of the number line.
We used a false discovery rate rather than standard
significance measures to avoid an inflated false - positive rate
as a consequence of the large number of hypothesis
tests (42).
Reasoning for lack of
significance between subject groups can be attributed to
testing hip extension angles in a dynamic position
as opposed to passive.
Murray's earlier books — Losing Ground in 1984, on welfare policy, and The Bell Curve (with Richard Herrnstein) in 1994, on the
significance of differences in intelligence
as measured by intelligence
tests — aroused controversy, because, implicitly or explicitly, they focused attention on black Americans, who play a disproportionate role in welfare policy, and
as a group score lower than whites on IQ
tests.
The
significance of the Common Core is that the advocates for the Common Core and the people who are designing the
test talk very explicitly about,
as Carol said, these instructional shifts, which have not been publicly debated, which got little public airing
as 40 - odd states rushed to adopt the Common Core in 2009, 2010, and which portend a dramatic shift in how we teach 50 million children reading and math.
These were always the most low - key
tests - not tied to such high - profile league tables
as the
tests for 11 year olds and without the
significance of GCSE exams.
As such, at this point in time,
testing birds with the avian bornavirus PCR can not be recommended since the
significance of a positive or negative
test result is not known.
Secondly the collection of objects should be seen
as varying in scale,
significance and potential, while some may be viewed
as prototypes or models, others function
as material
tests or potential signage.
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)?
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.
Your approach might be better (partialling out the contributions of CO2 concentrations
as a parameter and
testing its
significance) or simply looking at robust temperature series at a number of locations on the globe might offer better results.
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.
My point, Max, was that the CLOUD experiment will tell us something about the nucleation phenomenon, but will not be a realistic
test of its quantitative
significance in clouds
as they exist in our atmosphere.
As I keep explaining, it depends on how the statistical
significance test is used, the assumptions, on the null hypothesis, and on the conclusion.
I just work at the level of basic
significance tests for regression lines and so on, which are okay
as a ball park starting point but not really up to a proper hypothesis
test.
Tests of statistical
significance (flawed
as they may be) are designed to make it more difficult to torture the data not less.
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.
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.
One is to recalculate the statistical
significance estimates of all variables for which
significance is currently reported using a procedure such
as Cohn and Lins» (2006) Adjusted Likelihood Ratio
Test that is specifically designed for use with data exhibiting long - term persistence.
It is an unfortunate gap in understanding even in many people who actually consider themselves well informed on time series that they misuse standard
tests for coefficient
significance as if they indicate validity of inference using a reduced model.
That's why my premise was set up
as an either - or conundrum, and which is the way we have to think about it to
test for
significance.
Gavin's complaint about individual runs versus ensemble averages in
significance testing is half - right — so he's not
as ignorant
as some suggest.
Served
as litigation counsel for major pharmaceutical company in
test case of nationwide
significance, involving allegations of Medicaid fraud.
We have seen the Court of Appeal's rejection of the appeal in the case of British Airways and the employee wanting to wear a cross necklace in defiance of the company's dress code (Eweida v BA plc [2010] EWCA Civ 80, [2010] All ER (D) 144 (Feb)-RRB- and also that court's decision in the Buckland case which was widely reported in the press in terms of «Professor wins case about dumbing down university degrees» but which was of much greater legal
significance for ridding the law on constructive dismissal of the heresy that the range of reasonable responses
test applies to such dismissals, under which the ex-employee could only succeed in showing constructive dismissal if he could prove that the employer's behaviour was so bad that no reasonable employer could possibly have behaved in that way, ie that the employer had not just behaved
as too much of an Alan (B'Stard) but
as a grade one Olympic standard Alan (Buckland v Bournemouth University [2010] EWCA Civ 121, [2010] All ER (D) 299 (Feb)-RRB-.
Instead of simply considering the place of residence of a person's parents
as in Vale, the new
test recognises the
significance of a person's actual physical location,
as well a person's social and emotional integration with that place.
It is
tested on various parameters such
as spelling and sentence structure, core content, layout, user - friendliness, arrangement and
significance.
Analysis was conducted on an intention to treat basis using paired t
tests and Wilcoxon matched pairs signed rank
test (
as appropriate for the distribution of scores) to calculate the
significance of differences between baseline and follow up scores within groups.
To
test for the
significance of all 4 relationships, we entered the ACE score into the logistic models
as an ordinal variable.
Each comparison is
tested for statistical
significance using t
tests and χ2
tests as applicable.
To
test for associations among the various measures, we used one - tailed, bivariate Pearson's correlations, which measure the strength and direction,
as well
as the
significance of linear relationships between pairs of variables.
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
Instead, the 95 % percentile - based bias corrected and accelerated (BCa) bootstrap confidence intervals were used
as a
test of
significance of the direct and indirect paths.
Multiple mediation analyses employed a bootstrapping approach to
test the
significance of the indirect effect of the independent variable (IV; personality traits) on the outcome variable (DV; EWB) through the mediator (M; fALFF of brain regions), which was calculated
as the product of the effect of IV on M and that of M on DV.