main effect for

USAGE SUMMARY

The phrase "main effect for" is correct and usable in written English.
It is typically used in statistical or experimental contexts to refer to the primary impact of an independent variable on a dependent variable. Example: "The main effect for the treatment group showed a significant improvement in patient outcomes compared to the control group."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

There was no main effect for condition on performance scores.

Computers in Human Behavior

The main effect for loading level was significant (p = 0.007).

Journal of Electromyography and Kinesiology

The MANOVA with difference scores yielded a significant main effect for intervention.

Journal of Exercise Science & Fitness

For pleasure, a significant main effect for time and a time x task interaction effect emerged.

Psychiatry Research

We found a main effect for the condition factor for electrodes T3, T4, P3 and P4.

Neuroscience Letters

The main effect for Test was significant.

Asian-Pacific Journal of Second and Foreign Language Education

There was a main effect for site but not for treatment condition.

Duke University

BMI (a): main effect for category p < 0.001, η2p 0.261; main effect for group p < 0.001, η2p 0.578; interaction category × group—not significant.

Sports Medicine - Open

FFMI (c): main effect for category p < 0.001, η2p 0.363; main effect for group p < 0.001, η2p 0.475; interaction category × group—not significant.

Sports Medicine - Open

ND had a main effect for increasing muscle MyoD and cyclin D1 mRNA expression at 14 days.

Duke University

ERA's main effect for the WTC group was a short-term increase in earnings.

IZA Journal of Labor Policy

Expert writing Tips

Best practice

When discussing statistical results, use "main effect for" to clearly indicate the primary impact of an independent variable on a dependent variable, separating it from interaction effects or other secondary influences.

Common error

Avoid attributing all observed changes solely to the "main effect for" a variable without considering potential interaction effects with other variables. Interaction effects can significantly modify or even negate the main effect, leading to inaccurate conclusions.

Linguistic Context

The phrase "main effect for" functions as a statistical term used to describe the direct influence of an independent variable on a dependent variable, independent of other variables. As Ludwig AI confirms, it's frequently used in statistical contexts.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "main effect for" is a crucial term in statistics, signifying the independent impact of an independent variable on a dependent variable. As Ludwig AI confirms, it is grammatically correct and predominantly used in scientific contexts. When writing about statistical analyses, ensure you distinguish the "main effect for" from interaction effects to accurately represent the findings. Remember that while it's common to report the main effect, focusing on interaction effects can provide a more comprehensive understanding. Consider using synonyms like "primary effect of" or "overall effect of" for variety. By following these guidelines, you can effectively and accurately communicate your research findings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

primary effect of

Replaces "main" with "primary", emphasizing the direct and initial impact of a variable.

overall effect of

Substitutes "main" with "overall", highlighting the comprehensive influence of a factor.

significant impact of

Replaces "effect" with "impact", underscoring the notable influence of a variable.

major influence of

Uses "influence" instead of "effect", suggesting a power to affect something.

principal consequence of

Substitutes "effect" with "consequence", emphasizing the result of a factor.

key outcome of

Replaces "effect" with "outcome", focusing on the result or product of a variable.

predominant factor in

Shifts the focus to the factor itself, rather than its effect, highlighting its importance.

leading driver of

Uses "driver" instead of "effect", suggesting a force that propels a particular result.

central role in

Changes the structure to focus on the role played by a variable, rather than its direct effect.

chief determinant of

Emphasizes the decisive nature of the variable in shaping the outcome.

FAQs

How is "main effect for" used in statistical analysis?

In statistical analysis, "main effect for" refers to the impact of one independent variable on a dependent variable, ignoring the effects of all other independent variables. It helps to isolate the specific contribution of that single variable.

What's the difference between "main effect for" and an interaction effect?

The "main effect for" describes the effect of one independent variable on a dependent variable. An interaction effect describes how the effect of one independent variable changes depending on the value of another independent variable. They are fundamentally different concepts.

What are some alternatives to using "main effect for" in writing?

You can use alternatives like "primary effect of", "overall effect of", or "significant impact of" depending on the specific nuance you want to convey. Consider the context to choose the most appropriate synonym.

Is it always necessary to report the "main effect for" each variable in a study?

While reporting the "main effect for" each variable is common, it is not always necessary. If there are significant interaction effects, focusing on those interactions may provide a more complete and nuanced understanding of the relationships between variables.