univariate analysis

USAGE SUMMARY

"univariate analysis" is a valid phrase that is used in written English.
It is typically used to refer to the examination of a single variable or set of data. For example, "We performed a univariate analysis on the data to identify any patterns or trends."

✓ Grammatically correct

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Correlation was measured by univariate analysis.

Nature

MANOVA was followed by univariate analysis.

Nature

Between-study heterogeneity was explored by univariate analysis.

Nature

Univariate analysis was followed by logistic regression.

The Journal of Pediatrics

Logistic regression was used for univariate analysis.

American Journal of Obstetrics and Gynecology

Further detailed univariate analysis followed for genotype and interaction effects (see Tables 4 and 5).

Nature

The multivariate analysis was performed with clinicopathological factors with a P value <0.05 in univariate analysis.

Nature

The volcano plots presented in Fig. 3 show the most significant metabolites found by univariate analysis.

Nature

Davis, T. et al. What do differences between multi-voxel and univariate analysis mean?

Nature

The factors found to be significant in univariate analysis were entered in the multivariate analysis.

Nature

Our univariate analysis showed that lower eyelid retraction was reduced after orbital decompression surgery.

Nature

Expert writing Tips

Best practice

When reporting results from a "univariate analysis", clearly state the specific statistical test used (e.g. t-test, ANOVA, chi-square) and the significance level (p-value) to ensure reproducibility and transparency.

Common error

Avoid using "univariate analysis" when you've actually examined relationships between multiple variables. "Univariate analysis" strictly focuses on individual variables, while multivariate analysis explores the interplay among several variables.

Linguistic Context

The phrase "univariate analysis" functions primarily as a noun phrase, typically used to describe a statistical method. As confirmed by Ludwig, it refers to the examination of a single variable in a dataset. This is frequently employed in scientific and academic contexts.

Expression frequency: Very common

Frequent in

Science

90%

Academia

10%

News & Media

0%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "univariate analysis" is a noun phrase denoting a statistical method focused on examining a single variable. It is deemed grammatically correct and is very common, especially within scientific and academic domains. Ludwig AI confirms that this phrase is used to describe research methodologies and report findings, mainly in formal and scientific contexts. Related phrases include "single variable analysis" and "unidimensional statistical analysis". When using this term, ensure clarity in statistical test specification and differentiate it from multivariate analysis, which involves multiple variables.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

single variable analysis

Focuses on the examination of a single variable in isolation.

one-variable analysis

A simpler and more direct way to refer to the analysis of a single variable.

unidimensional statistical analysis

Emphasizes the single-dimensional nature of the analysis.

single factor analysis

Highlights the consideration of only one factor at a time.

statistical analysis of one variable

More explicitly details that statistical methods are being applied to only one variable.

individual variable assessment

Stresses the evaluation of each variable separately.

analyzing a single variable

Changes the phrase to an active verb form.

isolated variable examination

Indicates a separate and distinct review of a single variable.

assessment of individual variables

Focuses on the assessment or evaluation aspect.

examining one variable at a time

Emphasizes the sequential and individual approach to variable examination.

FAQs

How is "univariate analysis" used in research?

"Univariate analysis" is used to describe and summarize the characteristics of a single variable. It helps researchers understand the distribution, central tendency, and spread of data for each variable independently.

What's the difference between "univariate analysis" and multivariate analysis?

"Univariate analysis" examines a single variable at a time, whereas multivariate analysis examines the relationships between two or more variables simultaneously. If you need to check multiple variables simultaneously, use multivariate analysis instead.

Which statistical tests are commonly used in "univariate analysis"?

Common statistical tests for "univariate analysis" include t-tests, ANOVA, chi-square tests, and descriptive statistics such as mean, median, mode, and standard deviation. The choice depends on the type of data and the research question.

What are some alternatives to "univariate analysis"?

Depending on the context, you might use "single variable analysis" or "unidimensional statistical analysis" as alternatives to "univariate analysis".