strength of analysis

USAGE SUMMARY

The phrase "strength of analysis" is correct and usable in written English.
It can be used when discussing the effectiveness or depth of an analytical approach or evaluation. Example: "The strength of analysis in this report highlights the key factors influencing market trends."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Moreover, ultimate strength of analysis result was compared with design strength by American Aluminum Association AAA and American Iron Steel Institutete (AISI) design standards.

Thin-Walled Structures

In a disease such as PTC, where negative events such as recurrence and disease-related mortality are rare and often occur late, a large patient cohort and extended follow-up time are critical to the strength of analysis.

Cancer Medicine

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Strong on-field leadership should allow Fletcher to concentrate on his off-field strengths of analysis and advice.

The New York Times - Sports

Finally, the small sample size limits the strength of outcome analysis and precludes formal risk factor analysis.

Global Health Action

A strength of the analysis scheme suggested by Følstad and Knutsen[35] is that it supports analysis of design feedback in the context of usability evaluations.

Human-centric Computing and Information Sciences

Claims database analysis allows for estimation of real-world treatment patterns, and the strength of our analysis derives from the large, geographically diverse population studied.

Advances in Therapy

The main strength of this analysis compared with previous studies is that it uses formal time to event analysis techniques to assess the time to publication of guidance.

BMJ Open

The strength of any analysis, though, lies in its independence from the policy agendas of politicians.

The New Yorker

It's easy to mourn lives cut down prematurely but what makes this book stand out is the strength of its analysis.

The Guardian - Books

A strength of our analysis is that we grouped participants based on an a priori clustering of the parameter space of the computational model.

Nature

On the strength of numerical analysis results conditions for favourable strain and temperature distribution were determined.

Archives of Civil and Mechanical Engineering

Expert writing Tips

Best practice

When discussing research or evaluations, clearly define what aspects contribute to the "strength of analysis". For instance, specify if it stems from sample size, methodology, or data quality.

Common error

Avoid exaggerating the "strength of analysis" without providing concrete evidence or justification. Ensure claims are supported by the analytical process and results.

Linguistic Context

The phrase "strength of analysis" functions as a noun phrase, typically used as a subject or object in a sentence. It refers to the degree to which an analysis is reliable, valid, and effective. Ludwig AI confirms its correctness and usability in written English.

Expression frequency: Uncommon

Frequent in

Science

65%

News & Media

20%

Formal & Business

15%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "strength of analysis" is a grammatically correct and usable term, albeit not extremely common, primarily found in scientific, news, and formal contexts. Ludwig AI confirms that the term refers to the degree of reliability and effectiveness in an analysis. To enhance clarity in writing, specify the factors contributing to the analytical strength, such as sample size or methodology. While evaluating the "strength of analysis", avoid exaggeration without providing supporting evidence.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

robustness of the analysis

This alternative emphasizes the resilience and reliability of the analysis process.

rigor of the analysis

This suggests a strict and methodical approach to the analysis, highlighting its thoroughness.

validity of the analysis

This focuses on whether the analysis accurately reflects the reality it's intended to represent.

reliability of the analysis

This highlights the consistency and dependability of the results obtained from the analysis.

depth of the analysis

This emphasizes the level of detail and thoroughness in the analytical process.

effectiveness of the analysis

This focuses on how well the analysis achieves its intended purpose or yields useful insights.

potency of the analysis

This suggests how convincing and impactful is the result of the analysis.

soundness of the analysis

This suggests the analysis is well-reasoned and logically consistent.

persuasiveness of the analysis

This highlights how convincing and impactful is the analysis to an audience.

comprehensiveness of the analysis

This alternative indicates the analysis covers all relevant aspects and details.

FAQs

How can I describe the “strength of analysis” in simpler terms?

You could use phrases like "effectiveness of the analysis", "robustness of the analysis", or "reliability of the analysis" depending on the specific aspect you want to emphasize. These alternatives are often more accessible to a general audience.

What factors contribute to the “strength of analysis” in research?

Key factors include sample size, methodological rigor, data quality, and the validity of assumptions made during the analytical process. Each of these elements plays a crucial role in ensuring the reliability and "validity of the analysis".

Is “strength of analysis” a subjective or objective measure?

While some aspects of analytical strength can be objectively measured (e.g., statistical power), others involve subjective judgment, such as assessing the appropriateness of a chosen methodology or the interpretation of results. It often involves a combination of both.

How does the “strength of analysis” impact decision-making?

A stronger analysis provides more reliable and trustworthy information, leading to better-informed decisions. Conversely, a weak analysis may result in flawed conclusions and poor outcomes, making the "robustness of the analysis" critical for effective decision-making.