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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
nonsignificant value
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "nonsignificant value" is correct and usable in written English.
It can be used in contexts such as statistics or research to indicate that a value does not have a meaningful impact or relevance. Example: "The results of the experiment showed a nonsignificant value, indicating that the treatment had no effect on the outcome."
✓ Grammatically correct
Science
Alternative expressions(3)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
8 human-written examples
The nonsignificant value of 1.20 for the lack of fit showed that the quadratic model adequately fits the observed data for the present study.
A nonsignificant value indicates an equal fit when comparing the models.
However, for Genotype 3, a close but nonsignificant value of 0.573 (P = 0.099) was found.
Science
The nonsignificant value of χ² for this model indicates a very good fit of the data to the model (the observed covariance matrix from the data does not differ significantly from the implied covariance matrix generated from the model).
Science
Classic fail-safe N value of CTLA-4 rs231775 is 24 (P = 0.00001, Z = 4.37) when α was set to 0.05, which suggest that 24 unpublished negative studies would have to be included to convert the combined P value to a nonsignificant value.
Science
Classic fail-safe N value of PTPN22 rs2476601 was 21 (P = 0.00004, Z = 4.12) when α was set to 0.05, which suggest that 21 unpublished negative studies would have to be included to convert the combined P value to a nonsignificant value.
Science
Human-verified similar examples from authoritative sources
Similar Expressions
52 human-written examples
Small multiples of chromosomal genetic correlation matrices from which nonsignificant values have been excluded can be used to identify interesting patterns of association among traits, such as that on chromosome 18 associated with calving traits, conformation, and economic merit.
Science
Nonsignificant values are in bold.
The S-AOS group showed similar, nonsignificant values for cholinesterase in comparison with CG.
The emerging pattern indicated low and nonsignificant values for comparisons within the Antarctic Peninsula, and within South Georgia/Shag Rocks.
Science
The significant χ values given in the text are for the minimal model, while nonsignificant values correspond to those obtained before deletion of the variable from the model.
Science
Expert writing Tips
Best practice
When reporting statistical results, clearly state the criteria for determining "nonsignificance" (e.g., p > 0.05). This provides context and transparency for your audience.
Common error
Avoid assuming a "nonsignificant value" implies a complete lack of importance. A result may be statistically nonsignificant due to sample size or variability, but it could still have clinical or practical relevance. Consider effect sizes and confidence intervals in addition to p-values.
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Linguistic Context
The phrase "nonsignificant value" functions as an adjective-noun combination, modifying a numerical quantity. As per Ludwig, it describes a value that does not meet a predefined threshold for statistical or practical importance. It commonly refers to p-values or other statistical measures.
Frequent in
Science
100%
Less common in
News & Media
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Formal & Business
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Academia
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Ludwig's WRAP-UP
The phrase "nonsignificant value" is a grammatically sound adjective-noun combination predominantly used within scientific and statistical contexts to denote a result that lacks statistical significance. Ludwig AI confirms its correct usage. Understanding when and how to report such values, along with acknowledging potential misinterpretations (e.g., equating statistical nonsignificance with a complete absence of effect), is crucial for accurate and responsible research communication. Related terms include "statistically insignificant value" and "negligible value". The primary context for this phrase is scientific literature.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
statistically insignificant value
Replaces "nonsignificant" with a more formal statistical term, "statistically insignificant".
negligible value
Emphasizes that the value is so small it can be disregarded.
immaterial value
Highlights that the value does not have a substantial impact.
trivial value
Suggests the value is unimportant or inconsequential.
meaningless value
Indicates the value lacks relevance or interpretive power.
inconsequential value
Similar to "immaterial value", stressing the lack of important consequences.
insignificant figure
Uses the term "figure" instead of "value", providing a numerical emphasis.
unsubstantial value
Highlights that the value is not robust or considerable.
irrelevant value
Emphasizes that the value is not pertinent to the analysis or context.
worthless value
Indicates that the value has no practical or analytical worth.
FAQs
How is a "nonsignificant value" interpreted in research?
A "nonsignificant value" typically indicates that the observed result is likely due to chance and does not represent a real effect. This doesn't necessarily mean there is no effect, just that the study couldn't detect one with sufficient confidence.
What are some alternatives to saying "nonsignificant value"?
You can use alternatives like "statistically insignificant value", "negligible value", or "immaterial value" depending on the specific context.
When is it appropriate to report a "nonsignificant value"?
It's always appropriate to report "nonsignificant values" in research to provide a complete and transparent picture of the findings. Selective reporting of only significant results can lead to publication bias.
Does a "nonsignificant value" prove the null hypothesis is true?
No, a "nonsignificant value" does not prove the null hypothesis is true. It simply means that the evidence is insufficient to reject the null hypothesis. There might be a real effect, but the study didn't have enough power to detect it.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
80%
Authority and reliability
4.5/5
Expert rating
Real-world application tested