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level of relevance of vs level of relevance of variables

Both phrases are correct, but they are used in different contexts. 'Level of relevance of' is used when discussing the importance or significance of a general concept, while 'level of relevance of variables' is used when referring to the importance of specific variables in a particular context.

Last updated: March 20, 2024 • 756 views

This phrase is correct and commonly used when discussing the importance or significance of a general concept.

" level of relevance of "

This phrase is used to indicate the degree of importance or significance of a particular concept or topic.

Examples:

  • The level of relevance of the research findings to the field of medicine is high.
  • Assessing the level of relevance of the data is crucial for making informed decisions.
  • Determining the level of relevance of the information provided is essential for the project.
  • The level of relevance of the study to current trends in technology is significant.
  • Measuring the level of relevance of the theory to real-world applications is challenging.
  • Identifying the level of relevance of curriculum objectives and instructional activities is a little more difficult than determining the Knowledge Taxonomy level  ...
  • Defining the level of relevance of curriculum objectives and instructional activities is a little more difficult than determining the Knowledge Taxonomy level ...
  • Apr 20, 2004 ... level of relevance of the documents in the retrieved set affect the search result, and consequently the evaluation. The Impact of High-Level ...
  • Dec 28, 2011 ... Mainly they should reflect the level of relevance of the domain to the main activities of members. This means that levels of participation will ...

Alternatives:

  • relevance level of
  • importance level of
  • significance level of

This phrase is correct and commonly used when referring to the importance of specific variables in a particular context.

" level of relevance of variables"

This phrase is used to describe the degree of importance or significance of individual variables within a specific framework or analysis.

Examples:

  • The study aims to determine the level of relevance of variables in predicting consumer behavior.
  • Analyzing the level of relevance of variables in the experiment is crucial for drawing accurate conclusions.
  • Understanding the level of relevance of variables in the model is essential for its effectiveness.
  • Measuring the level of relevance of variables to the outcome helps in identifying key factors.
  • Assessing the level of relevance of variables in the study is a key aspect of the research.

Alternatives:

  • importance level of variables
  • significance level of variables
  • relevance level of specific variables

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