controlling for gender

USAGE SUMMARY

The phrase "controlling for gender" is correct and usable in written English.
It is typically used in research or statistical contexts to indicate that the analysis accounts for the variable of gender to isolate the effects of other variables. Example: "In our study, we found that the relationship between income and job satisfaction remained significant even when controlling for gender."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Controlling for gender and social desirability did not change the general pattern of findings.

Personality and Individual Differences

Results are reliable after controlling for gender as well as depression, anxiety, and stress symptoms.

Journal of Environmental Psychology

This significant association was maintained after controlling for gender and trait anxiety.

Journal of Psychiatric Research

Further studies are required to investigate the relation between depression and pain behavior while controlling for gender differences.

Psychosomatics

After controlling for gender, age and playground size, vegetation volume was the only significant naturalness measure predicting perceived restorativeness.

Journal of Environmental Psychology

They found that even after controlling for gender differences in strength and agility, the women had far higher levels of impairment before choosing surgery than the men had.

The New York Times - Health

The levels of security needs and benevolence were also statistically important factors in all models, after controlling for gender, income and ideological preferences.

Princeton University

Multilevel analysis of the pre- and posttests indicates the positive effect of the IP after controlling for gender, age and cohort of the students.

Thinking Skills and Creativity

Regression modeling revealed that physical abuse was uniquely predictive of posttraumatic stress symptoms when controlling for gender, psychiatric symptoms, and other problems in functioning.

Psychiatry Research

Controlling for gender, socioeconomic status, and ethnicity, hierarchical multiple regression analyses revealed statistically significant relations for the personality variables of extraversion and neuroticism.

Personality and Individual Differences

We compared the associations of both of these putative risk factors with subgroup membership after controlling for gender and adverse adoptive environment.

Comprehensive Psychiatry

Expert writing Tips

Best practice

Be precise about which statistical method you used when you are "controlling for gender", for example ANCOVA or Regression.

Common error

Ensure that when using the phrase "controlling for gender", you also account for other potentially confounding variables like age, socioeconomic status, or ethnicity to avoid spurious correlations and obtain more accurate results.

Linguistic Context

The phrase "controlling for gender" functions as a methodological term, primarily used in research and statistical analysis. As Ludwig AI confirms, it indicates that the influence of gender as a variable is accounted for, allowing researchers to isolate and examine the effects of other factors.

Expression frequency: Very common

Frequent in

Science

75%

Academia

20%

News & Media

5%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "controlling for gender" is a common and grammatically correct term in research and statistical analysis. As Ludwig AI confirms, it indicates that gender has been accounted for as a variable to avoid bias. Predominantly found in scientific and academic contexts, it assures readers that gender's influence has been addressed using methods such as regression analysis or ANCOVA. Common alternatives include "adjusting for gender" and "accounting for gender". Ensure clarity by specifying the statistical methods used and accounting for other potential covariates.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Adjusting for gender

Focuses on the statistical adjustment made to account for gender differences.

Accounting for gender

Emphasizes the inclusion of gender as a variable in the analysis.

Factoring in gender

Highlights the consideration of gender as a contributing factor.

Considering gender as a covariate

Specifies the statistical role of gender in the model.

Taking gender into account

General phrase indicating that gender was considered during research.

Gender-adjusted analysis

Describes the type of analysis performed to remove gender influence.

With gender as a control variable

Highlights the role of gender as a variable whose influence is being neutralized.

Gender held constant

Focuses on the concept of neutralizing gender's effect.

Standardizing for gender

Implies normalizing data to remove gender-based variations.

Mitigating gender bias

Focuses on reducing the impact of gender-related bias.

FAQs

What does "controlling for gender" mean in research?

In research, "controlling for gender" means accounting for the potential influence of gender on the results. Researchers use statistical techniques to remove or neutralize the effect of gender, allowing them to examine the relationship between other variables more accurately.

How do you "control for gender" in statistical analysis?

Researchers can "control for gender" using various statistical methods such as regression analysis, analysis of covariance (ANCOVA), or stratification. These techniques help isolate the effect of other variables by holding gender constant.

What is an alternative to "controlling for gender" in writing?

Alternatives to "controlling for gender" include "adjusting for gender", "accounting for gender", or "factoring in gender". The best choice depends on the specific context and the desired emphasis.

Why is it important to "control for gender" in studies?

It is important to "control for gender" because gender can influence many outcomes. By accounting for gender, researchers can reduce bias and obtain more accurate and reliable results, leading to better-informed conclusions.