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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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nonsignificant value

Grammar usage guide and real-world examples

USAGE 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

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.

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).

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fail-safe N value of CTLA-4 rs231775 is 24 (P = 0.00001, Z = 4.37) when α was set to 0.05, which suggest that 24 unpublished negative studies would have to be included to convert the combined P value to a nonsignificant value.

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fail-safe N value of PTPN22 rs2476601 was 21 (P = 0.00004, Z = 4.12) when α was set to 0.05, which suggest that 21 unpublished negative studies would have to be included to convert the combined P value to a nonsignificant value.

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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.

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.

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.

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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.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

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80%

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Real-world application tested

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.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

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.

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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Most frequent sentences: