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nonsignificance

nonsignificance

8.4
Lack of a clear difference in data beyond chance in a study
  • noun
  • /ˌnɒnˈsɪɡnɪfɪkəns/
  • Specialized
translation icon : insignificancia
  • A one-way ANOVA model indicated nonsignificance across all five conditions (F = 0.54, p = .84).

Examples

  • Chi-square analyses indicated nonsignificance between treatment conditions for gender, college major, position title, management level, highest education level achieved, industry, company size, and "additional firm-specific factors" (all p-values > .10).

    Academic text (2003)
  • Publication bias occurs due to the fact that some studies are not published and are confined to file drawers due to the nonsignificance of effect sizes (Appendix C).

    Academic text (2017)
  • For example, adjusting for health-related covariates decreased to nonsignificance the odds ratio for disability among gay men compared with heterosexual men.

    Academic text (2012)
  • Orgasm frequency was significant at the point of entry in all five models (note in the orgasm recall error model the effects of orgasm are not separable from those of orgasm frequency), but was reduced to nonsignificance or a trend (p < .10) once behavior frequency was entered.

    Academic text (2003)
  • This pattern of nonsignificance among neighboring age groups is attributable substantially to the large variance of alpha span scores within each group (see Table 1), although in this case it should be stressed that variability within each group is an advantage because it reflects the fact that the test is sensitive to individual differences in WM capacity among people of the same age.

    Academic text (2018)
  • The nonsignificance of pubertal status as a predictor of depression has been reported previously (Angold & Rutter, 1992; Sagrestano, Paikoff, Holmbeck, & Fendrich, 2003).

    Academic text (2006)
  • The study concluded that the differences in scores were reduced to nonsignificance, indicating that the treatments had no measurable effect.

  • Researchers found that the correlation between the two variables was of nonsignificance, suggesting that they are not related.

  • In the results of the experiment, the data showed a trend but ultimately reached nonsignificance, meaning any observed effect was not statistically valid.

Synonyms

unimportance
vsnonsignificance
1 4.6

A situation or thing that is not worth much attention

is specific to lacking statistical or practical relevance

Antonyms

194 3.8

How important something is or how much it matters

How Significant

significant
  • Specialized
92 4.9
nonsignificance
  • Specialized
8.4

Surface Forms

Morphology

nonsignificance = significance (transparent) = non + significance

The negation 'non-' attaches to 'significance' to indicate absence of significance; in statistical contexts this simply denotes 'not significant'.

Etymology

Nonsignificance comes from non- 'not' and significance 'importance', and in research significant means a result that is 'real' or 'not just luck'. So nonsignificance means 'no clear effect' or that the result is 'not meaningful' in a study.