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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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good reliability

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "good reliability" is correct and usable in written English.
You can use it to show that something is dependable or has been proven to be dependable. For example, "This product has shown good reliability in tests conducted by our team."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

This technique provides good reliability [19].

Science

Plosone

They found good reliability.

It has demonstrated good reliability.

Previous studies corroborate good reliability [ 27].

Both of these indicate good reliability.

It has good reliability and validity.

Good reliability and validity have been demonstrated.

This scale has demonstrated good reliability (28).

This index had good reliability (alpha 0.692).

This scale has good reliability and validity.

The Rasch analysis showed good reliability.

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Expert writing Tips

Best practice

When describing research findings, clearly state the type of reliability being assessed (e.g., test-retest, inter-rater, internal consistency) to provide specific information about the measure's dependability.

Common error

Avoid simply stating that something has "good reliability" without providing supporting evidence or specific details about the reliability measures used. Always cite the relevant statistics (e.g., Cronbach's alpha, ICC) and the context in which the reliability was established.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "good reliability" functions as a descriptive term, typically modifying a noun (e.g., "good reliability of a test"). It indicates that a particular measure, method, or system consistently produces dependable and trustworthy results. As Ludwig AI highlights, the phrase is usable in English.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "good reliability" is a common and correct way to describe the dependability and consistency of a measurement, method, or system, as Ludwig AI confirms. Predominantly used in scientific and academic contexts, it assures the trustworthiness of results. When using this phrase, it's best to specify the type of reliability being assessed and provide supporting statistics to avoid overgeneralization. Alternatives such as "high dependability" or "strong consistency" can offer nuanced emphasis, but the core meaning remains largely interchangeable. "Good reliability" is crucial in research and practical applications, as it establishes the groundwork for accurate analysis and decision-making.

FAQs

What does "good reliability" mean in research?

In research, "good reliability" indicates that a measurement instrument or procedure produces consistent and dependable results. It means that the results are repeatable and not due to random error.

How is "good reliability" measured?

Reliability is typically measured using statistical methods such as Cronbach's alpha for internal consistency, test-retest reliability for stability over time, and inter-rater reliability for agreement between different raters. Each assesses a different aspect of dependability.

What are some alternatives to saying "good reliability"?

You can use alternatives like "high dependability", "strong consistency", or "excellent dependability" to convey a similar meaning with slightly different emphasis.

Why is "good reliability" important?

"Good reliability" is crucial because it ensures that research findings are trustworthy and can be replicated. Without reliability, it is difficult to draw valid conclusions or make informed decisions based on the data.

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Source & Trust

82%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Most frequent sentences: