pairwise comparisons

USAGE SUMMARY

The phrase "pairwise comparisons" is correct and usable in written English.
You can use this phrase when you want to refer to comparing two items at a time in order to evaluate the differences between them. For example, "We conducted pairwise comparisons of the products to determine which one had the longest shelf life."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

C1 C4 indicate the specific pairwise comparisons.

AMB Express

This method is applicable for pairwise comparisons.

International Journal of Food Contamination

Pairwise comparisons were adjusted according to Tukey.

Intensive Care Medicine Experimental

For pairwise comparisons, the Student t test was used.

The Journal of Headache and Pain

Tukey's test was used for pairwise comparisons of means.

AMB Express

Pairwise comparisons were performed using the Student's t test.

International Journal of Food Contamination

Pairwise comparisons were made using Mann-Whitney U test.

Annals of Intensive Care

Asterisks indicate sign test two-tail pairwise comparisons P ≤ 0.05.

Evolution: Education and Outreach

Tukey's method was used to adjust for multiple pairwise comparisons.

Intensive Care Medicine Experimental

Thus these pairwise comparisons are judged to be good.

International Journal of Concrete Structures and Materials

Subsequently, pairwise comparisons were performed using Dunn's procedure.

Journal of Orthopaedics and Traumatology

Expert writing Tips

Best practice

When reporting results of "pairwise comparisons", clearly state the statistical method used to adjust for multiple comparisons (e.g. Bonferroni correction, Tukey's HSD).

Common error

A common mistake is to perform multiple "pairwise comparisons" without adjusting the significance level, which can lead to an inflated Type I error rate (false positives). Always apply a correction method.

Linguistic Context

The phrase "pairwise comparisons" functions as a noun phrase, typically used to describe a method or process of comparing items in pairs. Ludwig examples show it frequently used in the context of statistical analysis.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "pairwise comparisons" is a very common phrase used predominantly within scientific and academic fields to describe methods of comparing items in pairs. As Ludwig AI confirms, the phrase is grammatically correct, and its use implies a formal, technical analysis. When using "pairwise comparisons", remember to choose appropriate statistical tests and adjustments for multiple comparisons to ensure the validity of your results. Alternative phrases, such as "paired comparisons", may offer subtle shifts in emphasis, but "pairwise comparisons" remains the standard term in many contexts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

paired comparisons

Emphasis on the pairing aspect rather than the broader act of comparing.

dyadic comparisons

Replaces "pairwise" with a synonym emphasizing the two-element nature.

two-way comparisons

More explicit about the number of elements being compared at a time.

paired evaluations

Substitutes "comparisons" with a synonym that implies a judgment or assessment.

comparative dyads

Focuses on the pair as the unit of comparison.

head-to-head comparisons

More informal, suggesting a direct competition or contrast.

side-by-side analysis

Implies a simultaneous examination of two elements.

comparative assessment of pairs

More verbose, specifying the nature of the assessment and the unit being assessed.

paired observations

Highlights the act of observing two items in relation to each other.

two-item comparison

Directly states that only two items are being compared.

FAQs

How are "pairwise comparisons" used in statistical analysis?

"Pairwise comparisons" are used to compare all possible pairs of groups within a dataset, often after an ANOVA test reveals a significant overall difference. They help identify which specific groups differ significantly from each other.

What statistical tests are commonly used for "pairwise comparisons"?

Common tests include the t-test (with adjustments like Bonferroni correction), Tukey's HSD, Scheffé's method, and Dunn's test (for non-parametric data). The choice depends on the data distribution and the desired level of stringency.

How do "pairwise comparisons" differ from comparing all groups at once?

"Pairwise comparisons" break down the analysis to examine specific pairs of groups, while methods like ANOVA test for overall differences among all groups simultaneously. Pairwise methods offer more detailed insights but require adjustments for multiple testing.

What are some alternatives to "pairwise comparisons"?

Depending on the context, you could use phrases like "paired comparisons", "dyadic comparisons", or "two-way comparisons". These alternatives emphasize the comparison of two items at a time.