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data analysis methods

Grammar usage guide and real-world examples

USAGE SUMMARY

"data analysis methods" is correct and usable in written English.
You could use it any time you want to refer to the techniques and approaches used to analyze data. For example, "The students studied a variety of data analysis methods in their statistics class."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The quantitative analysis was supplemented with qualitative data analysis methods.

Fig. 8 The data analysis methods in the selected articles.

Various other data analysis methods might also be considered.

This study used both quantitative and qualitative data analysis methods.

Obtained data were analyzed using qualitative data analysis methods.

Qualitative data were analyzed using qualitative data analysis methods.

Descriptive data analysis methods were used in this study.

Unscalability and centralization Most data analysis methods are not for large-scale and complex dataset.

One has to select a subset of the data analysis methods for solving the specific problems.

Figure 1 shows a schematic of the overall RF-IVM procedure with data analysis methods.

However the use of appropriate data analysis methods should be emphasised.

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Expert writing Tips

Best practice

When describing research, clearly specify which "data analysis methods" were used to ensure transparency and reproducibility.

Common error

Don't simply state that "data analysis methods" were used; instead, specify the exact methods like regression analysis, ANOVA, or thematic analysis to provide clarity and context.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data analysis methods" functions as a noun phrase, typically serving as the object of a verb or the subject of a clause. As Ludwig AI indicates, the phrase is correct and usable. For instance, "The study employed various data analysis methods to interpret the results."

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "data analysis methods" is a grammatically sound and frequently used term, particularly within scientific and academic contexts. Ludwig AI confirms its correctness and usability. It refers to the techniques and procedures used to examine and interpret data. When writing, it's best to be specific about the exact methods used rather than relying on generic descriptions. Related terms include "data analytics techniques" and "statistical analysis approaches". This phrase is essential for clarity and precision in research and technical writing.

FAQs

How to use "data analysis methods" in a sentence?

You can use "data analysis methods" to describe the techniques used to examine and interpret data, such as "The research paper details the specific "statistical analysis approaches" employed in the study".

What are some alternative phrases for "data analysis methods"?

Some alternatives include "data analytics techniques", "statistical analysis approaches", or "data interpretation strategies" depending on the specific context.

What's the difference between "data analysis methods" and "data mining methodologies"?

"Data analysis methods" is a broader term encompassing various techniques for examining data, while "data mining methodologies" specifically refers to methods used to discover patterns and insights from large datasets.

When should I use "qualitative data assessment techniques" instead of "data analysis methods"?

Use "qualitative data assessment techniques" when your analysis focuses on non-numerical data, such as interviews or observations, to understand themes and meanings, as opposed to numerical analysis.

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Most frequent sentences: