Sentence examples for null significance from inspiring English sources

Indeed, both the exponential and the power-law distributions provide a good fit to the data, and the log likelihood indicates that the exponential law provides a better fit but it has a null significance, so does not give any information on the law that best fits the data (see Table 2).

Here, we briefly review null hypothesis significance testing and its major alternatives.

Interpretation of clinical research findings using the paradigm of null hypothesis significance testing has a number of limitations.

Alongside traditional null hypothesis significance testing (NHST), we also report the Bayes factors for all nonsignificant comparisons.

Most ecologists and evolutionary biologists continue to rely heavily on null hypothesis significance testing, rather than on recently advocated alternatives, for inference.

To statistically evaluate the performance of brain computer interfaces (BCIs), researchers usually rely on null hypothesis significance testing (NHST), i.e. p-values.

This research demonstrates how the Akaike information criterion (AIC) can be an alternative to null hypothesis significance testing in selecting best fitting models.

Adopting conventions from previous research (Bushway et al. 2006; Sullivan and Mieczkowski 2008), we refer to this as null hypothesis significance testing (NHST).

That is, the majority of approaches involve either interpreting likelihoods from frequency data or utilizing null hypothesis significance testing to interpret estimates of unknowns.

Meta-analytic methods place less emphasis on dichotomous outcomes from null hypothesis significance testing and greater emphasis on determining the magnitude and the precision of an effect of interest.

In addition, to well-know indexes of null hypothesis significance testing, effect size measures were also reported to recognize the value of the degree of association among variables, particularly between BDNF polymorphism group and monthly drug number [17, 18].