key explanatory variable

USAGE SUMMARY

The phrase "key explanatory variable" is correct and usable in written English.
It is typically used in statistical or research contexts to refer to an important variable that helps explain or predict an outcome in a model. Example: "In our analysis, the key explanatory variable was the level of education, which significantly influenced income levels."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

23 human-written examples

Our key explanatory variable of interest is historical cohort.

Comparative Migration Studies

Lastly, detailed data of the key explanatory variable are available from Shanxi Statistical Yearbooks.

The Journal of Chinese Sociology

The key explanatory variable in this study is the economic conditions at school-leaving.

IZA Journal of Labor Policy

Organization size serves as the key explanatory variable of this research.

The Journal of Chinese Sociology

Model (II.1) is the standard model of level II analysis, featuring CONCORDANCE as the key explanatory variable.

Business Research

First, the instrument chosen should be correlated with cultural diversity, the key explanatory variable, and second, it should not be correlated with economic performance.

IZA Journal of Migration

Human-verified similar examples from authoritative sources

Similar Expressions

37 human-written examples

The key explanatory variables are our diversity constructs but we include other director-level controls.

Columbia University

We also investigate the marginal effects of key explanatory variables on contract cost savings using spatial multipliers.

Transportation Research Part A: Policy and Practice

One criticism of the regression model can be a potential endogeneity problem as a certain measure of "diversity" goes in the construction of the RECI, and another is one of the key explanatory variables in our regression model.

Nature

The effect of the key explanatory variables on the saturation magnetization of synthetic nanomagnetite particles was investigated using the response surface methodology (RS M.

Journal of Magnetism and Magnetic Materials

Having developed geo-referenced conflict data from Uppsala/PRIO's conflict database, we use GIS to identify regions of peace and conflict and as a tool to generate sub-national measures of key explanatory variables.

Political Geography

Expert writing Tips

Best practice

When writing research papers, clearly define the "key explanatory variable" early on to provide context for your analysis.

Common error

Ensure that you account for potential confounding variables that might influence both the "key explanatory variable" and the outcome, to avoid spurious correlations.

Linguistic Context

The phrase "key explanatory variable" functions as a noun phrase that identifies the most important independent variable in a statistical model or research study. It is used to highlight the variable that is believed to have the most significant impact on the dependent variable. Ludwig confirms its grammatical correctness and usability.

Expression frequency: Common

Frequent in

Science

95%

Academia

3%

Formal & Business

1%

Less common in

News & Media

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "key explanatory variable" is a grammatically sound and frequently used phrase, particularly in scientific and academic writing, to denote the most significant independent variable in a study. As confirmed by Ludwig, it’s essential for clearly defining the focus of research and understanding causal relationships. Remember to control for confounding variables and consider alternative phrases like "primary predictor" or "main determinant" for varied expression. The phrase helps to underscore the core elements driving the outcomes of your research.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

central explanatory factor

Replaces 'variable' with 'factor' while retaining the core meaning.

primary predictor

Focuses on the predictive power of the variable.

main determinant

Emphasizes the variable's role in determining an outcome.

dominant predictive factor

Combines the predictive aspect with the idea of dominance.

critical influencing factor

Highlights the variable's influence on the results.

significant causal factor

Indicates the variable's role in causing an effect.

principal driver

Suggests the variable propels or drives the observed effect.

major contributing element

Emphasizes the variable's contribution to the overall outcome.

leading indicator

Implies the variable is a sign or signal of future outcomes.

fundamental underlying cause

Highlights that the variable is the basic or root cause of something.

FAQs

How do I identify the "key explanatory variable" in my research?

The "key explanatory variable" is often identified through literature review, theoretical frameworks, and preliminary data analysis, focusing on the variable that best predicts or explains the outcome of interest.

What are some alternatives to "key explanatory variable"?

You can use alternatives like "primary predictor", "main determinant", or "significant causal factor", depending on the specific context and emphasis you want to convey.

Why is it important to clearly define the "key explanatory variable"?

Defining the "key explanatory variable" clearly helps readers understand the focus of your study, the relationships you are investigating, and the potential implications of your findings.

What's the difference between an "explanatory variable" and a dependent variable?

An explanatory variable (also known as an independent variable) is used to explain or predict changes in the dependent variable. The dependent variable is the outcome you are trying to understand or predict.