strength of association

USAGE SUMMARY

The phrase 'strength of association' is correct and usable in written English.
You could use it when referring to the strength of a connection or relationship between two things. For example, "The strength of association between obesity and lack of exercise is well-known and supported by research."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

However, differences in the strength of association can be seen.

Comparative Migration Studies

The strength of association varied from moderate to strong.

International Aquatic Research

The strength of association was examined using regression coefficients, P values, and adjusted R2.

The Journal of Headache and Pain

The strength of association affects the availability of P to plants [31].

Chemical and Biological Technologies in Agriculture

"A note on strength of association".

Wikipedia

In these two studies, the strength of association lowered from 1.17 to 1.08 and from 1.22 to 1.12.

Huffington Post

Strength of association was estimated by conditional OR ±95%CI.

Plosone

Strength of association is shown as crude odds ratios with their corresponding 95% confidence limits.

Plosone

The consistency and strength of association between CTX in our multivariate analysis, however, is reassuring.

Plosone

Unadjusted and adjusted (AOR) odds ratios were used as indicators of the strength of association.

Plosone

The strength of association was estimated by calculating Odss Ratio (OR) with 95% confidence interval (CI).

Plosone

Expert writing Tips

Best practice

In research papers, clearly define how you measured the "strength of association", including the statistical methods used and the rationale behind their selection.

Common error

Avoid implying causation solely based on a strong "strength of association". Always consider potential confounding variables and conduct further analysis to establish causality.

Linguistic Context

The phrase "strength of association" functions as a noun phrase, often serving as the subject or object of a sentence. It describes the degree to which two or more variables are related. Ludwig shows numerous examples in scientific literature where it's used to analyze relationships between different factors.

Expression frequency: Very common

Frequent in

Science

89%

News & Media

5%

Formal & Business

3%

Less common in

Wiki

1%

Encyclopedias

1%

Reference

1%

Ludwig's WRAP-UP

The phrase "strength of association" is a grammatically correct and frequently used term, particularly in scientific and academic contexts. As confirmed by Ludwig AI, it describes the degree of relationship between variables, quantified through statistical methods. While its register is formal, it is also used in news reporting. Remember to avoid inferring causation from association alone and always consider confounding factors. Alternatives include "degree of correlation" and "level of connection", though they carry slightly different nuances.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

degree of correlation

Focuses specifically on statistical correlation rather than general association.

level of connection

Uses more general terms to describe the intensity of a relationship.

magnitude of relationship

Emphasizes the size or importance of the relationship.

intensity of link

Highlights the power or force of a connection.

degree of dependency

Implies a causal relationship where one variable relies on another.

extent of influence

Focuses on the impact one variable has on another.

power of correlation

Emphasizes the statistical significance of the relationship.

tightness of coupling

Suggests a close and inseparable bond between two elements.

robustness of the effect

Indicates how reliable and consistent the observed relationship is.

significance of relationship

Highlights the statistical or practical importance of the relationship.

FAQs

How is the "strength of association" typically measured in research?

The "strength of association" is often measured using statistical methods such as odds ratios (OR), correlation coefficients, or confidence intervals (CI), depending on the type of data and research question.

What does a high "strength of association" between two variables indicate?

A high "strength of association" suggests a strong relationship between two variables, meaning that changes in one variable are likely to be accompanied by changes in the other. However, it doesn't necessarily imply causation.

How does the "degree of correlation" differ from the "strength of association"?

While related, "strength of association" is a broader term that can encompass various types of relationships, whereas "degree of correlation" specifically refers to the statistical measure of a linear relationship between two variables.

What are some limitations when interpreting the "strength of association"?

Limitations include the possibility of confounding variables, non-linear relationships, and the fact that association does not equal causation. It's crucial to consider these factors when interpreting the "strength of association".