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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data were checked for

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data were checked for" is correct and usable in written English.
It can be used when describing a process of verifying or validating data for specific criteria or conditions. Example: "Before analysis, the data were checked for accuracy and completeness to ensure reliable results."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

All statistical assumptions were met e.g. normality and constant variances and data were checked for potential outliers20.

Science & Research

Nature

Data were checked for normality using a Kolmogorov-Smirnov's test with Lilliefors correction and for variance homogeneity using Levene's test.

Science & Research

Nature

BVol% data were checked for outliers.

All data were checked for their plausibility.

Data were checked for homogeneity of variance before being pooled.

Data were checked for normality using Shapiro Wilk's test.

The data were checked for homogeneity and normality before analysis.

All data were checked for normality and equal variances.

All data were checked for outliers with the Grubbs outlier test.

The chemical data were checked for suitability for domestic purposes based on recommendations of WHO (2011).

All data were checked for normality and homogeneity of variances before analyses.

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Expert writing Tips

Best practice

When reporting research findings, specify what characteristics or issues the "data were checked for" to provide context and enhance transparency. For example, clarify if you checked for "normality", "outliers", or "consistency".

Common error

Avoid vague statements like "data were checked for issues". Always specify the type of issue you were checking for, such as "data were checked for inconsistencies" or "data were checked for missing values".

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

80%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data were checked for" functions as a passive construction indicating that data underwent a process of verification or validation. Ludwig AI confirms its usability in English. The examples show it's used to describe ensuring data quality before analysis.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Unknown

0%

Ludwig's WRAP-UP

The phrase "data were checked for" is a grammatically sound and frequently employed expression, particularly within scientific writing. According to Ludwig AI, the expression is correct. It serves the purpose of indicating a verification or validation step applied to data, which is crucial for ensuring accuracy and reliability in research. Common checks include normality, outliers, consistency, and completeness. While versatile, specifying the checked characteristic enhances clarity. Its prevalence in scientific literature reflects a formal register, emphasizing precision and objectivity. Related phrases offer nuanced alternatives for conveying data assessment processes.

FAQs

How do I use "data were checked for" in a sentence?

Use "data were checked for" to indicate that a process of verification or validation was performed on a dataset. For example: "The data were checked for normality before statistical analysis."

What can I say instead of "data were checked for"?

You can use alternatives like "data were examined for", "data were assessed for", or "data were validated for" depending on the specific context.

Is it better to say "data were checked for" or "data was checked for"?

Use "data were checked for" when referring to a collection of data points. "Data" is generally treated as a plural noun in scientific and academic contexts.

What does it mean when "data were checked for normality"?

It means the data was tested to see if it follows a normal distribution, which is a common assumption for many statistical tests. If data isn't normal, transformations or non-parametric tests may be needed.

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Source & Trust

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Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: