levels of significance

USAGE SUMMARY

"levels of significance" is a correct and usable phrase in written English.
You can use it to refer to the amount of importance or meaning a certain factor holds. For example, "These levels of significance help us to determine how important the analysis is."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Bars in figures represent means±SEM with levels of significance indicated by *P significant = 〈<0.05.

Plosone

Almost all the estimates are statistically significant at the common levels of significance.

Latin American Economic Review

Levels of significance of p < 0.05 and 0.01 were accepted as significant and highly significant, respectively.

Nanoscale Research Letters

"Don Quixote" has so many levels of significance that I can set foot on only a couple of them.

The New York Times - Books

But there are other levels of significance, and the issue of openness by the clergy is only one.

The New York Times

Different people will attach different levels of significance to the various lines of evidence presented here," the researchers conclude.

The Guardian

This volume explores both the cultural developments that have shaped them and their varied multidimensional levels of significance.

Cornell University

Conclusion: The levels of significance are not high but warrant attention.

Archives of Physical Medicine and Rehabilitation

The fact is, all sugars, from processed to complex to sugar alcohols, are not alike, posing different levels of significance to a diabetic.

The New York Times

Indeed, it has been suggested that extremely large sample sizes are needed to establish genome-wide levels of significance in breast cancer survival studies10.

Nature

In homilies, scholia (annotated works), and continuous commentaries he covered the whole Bible, deploying a subtle, strongly allegorical exegesis designed to bring out several levels of significance.

Britannica

Expert writing Tips

Best practice

When reporting statistical results, clearly state the "levels of significance" used (e.g., p < 0.05) to ensure transparency and reproducibility.

Common error

Avoid using "levels of significance" loosely. This phrase has a specific meaning in statistics; don't confuse it with general importance or relevance.

Linguistic Context

The phrase "levels of significance" primarily functions as a noun phrase. It refers to the threshold used in statistical hypothesis testing to determine whether the results of a study are likely to be due to chance or reflect a true effect. Ludwig confirms that the phrase is correct and widely used.

Expression frequency: Very common

Frequent in

Science

85%

News & Media

8%

Formal & Business

7%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "levels of significance" is a grammatically sound and frequently used term, especially within scientific and academic contexts. Ludwig AI confirms its correctness and provides numerous examples from reputable sources. The phrase is primarily employed to quantify the statistical reliability of research findings, with p-values commonly used to denote these levels. When using this phrase, clarity and precision are paramount to prevent misinterpretations between statistical and general significance. Consider alternative phrases such as "statistical significance" when appropriate, and be mindful of the specific context to maintain accuracy in your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

degrees of relevance

This alternative focuses on the importance of something in relation to a specific context.

measures of importance

This phrase emphasizes the quantification of how important something is.

indicators of consequence

This alternative highlights the results or effects that something might have.

grades of noteworthiness

This phrase focuses on how deserving of attention something is.

standards of relevance

This suggests a benchmark against which something is judged to be important.

dimensions of impact

This alternative underscores the effect something has on a particular situation.

magnitudes of effect

This emphasizes the size or extent of the influence something has.

importance thresholds

This alternative focuses on the specific point at which something becomes important.

criticality ratings

This phrase suggests a system for evaluating the importance of different factors.

significance gradations

This highlights the gradual changes in importance.

FAQs

How do I interpret "levels of significance" in research?

In research, "levels of significance" (often denoted as p-values) indicate the probability that the observed results are due to chance. Lower p-values (e.g., p < 0.05) suggest stronger evidence against the null hypothesis.

What are common alternatives to using "levels of significance" in scientific writing?

While "levels of significance" is standard, you can use phrases like "statistical significance", "p-value", or "alpha level" depending on the context.

How do I determine appropriate "levels of significance" for my study?

The choice of "levels of significance" depends on the field of study and the consequences of making a wrong decision. Common choices are 0.05, 0.01, and 0.001, with smaller values indicating a more stringent threshold for significance.

What's the difference between "levels of significance" and effect size?

"Levels of significance" indicate the statistical reliability of a result, while effect size measures the magnitude or practical importance of the result. A statistically significant result may have a small effect size, and vice versa.