quantitative assessment

USAGE SUMMARY

The phrase "quantitative assessment" is correct and usable in written English. You can use it in contexts where you are evaluating or measuring something numerically. For example, "The study included a quantitative assessment of the participants' performance." Alternative expressions include "numerical evaluation" and "statistical analysis."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

A Quantitative Assessment". Lustig, Hanno N. and Adrien Verdelhan.

Massachusetts Institute of Technology

The quantitative assessment is scheduled to follow the qualitative analysis.

Yale University

Economic challenges and quantitative assessment of metabolic performance.

Stanford University

Here, we get a quantitative assessment, which is reassuring.

University of California, Berkeley

A standardized kit for automated quantitative assessment of candidate protein biomarkers in human plasma.

Nature

Joergensen, R. G. & Wichern, F. Quantitative assessment of the fungal contribution to microbial tissue in soil.

Nature

Jakeman, J. D. et al. Towards spatially distributed quantitative assessment of tsunami inundation models.

Nature

Kim, W. et al. Systematic and quantitative assessment of the ubiquitin-modified proteome.

Nature

Lawless, C. et al. Quantitative assessment of markers for cell senescence.

Nature

Bostrom is an Oxford philosopher, but quantitative assessment of risks is the province of actuarial science.

MIT Technology Review

Xie, H. et al. Genome-wide quantitative assessment of variation in DNA methylation patterns.

Nature

Expert writing Tips

Best practice

Use "quantitative assessment" when you want to emphasize objective, measurable data over subjective or qualitative judgments.

Common error

Avoid overstating the importance of statistically significant results in your "quantitative assessment" without considering the practical significance or effect size. Statistical significance does not always translate to real-world relevance.

Linguistic Context

The phrase "quantitative assessment" functions primarily as a noun phrase. It is used to describe the act of evaluating something using numerical or measurable data. Ludwig AI examples show it is used across different sources such as Academia, Science and News & Media.

Expression frequency: Very common

Frequent in

Science

60%

Academia

20%

News & Media

10%

Less common in

Formal & Business

5%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "quantitative assessment" is a commonly used noun phrase that means to evaluate using numerical or measurable data. Ludwig AI confirms this phrase is grammatically correct and very common across several categories, primarily in Science, Academia, and News & Media. To enhance your writing, ensure clarity by defining metrics used in your assessment and avoid overstating the importance of statistically significant results without practical relevance. Consider using alternatives like "numerical evaluation" or "statistical analysis" to diversify your language.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

numerical evaluation

Focuses specifically on the numerical aspect of the evaluation process.

quantifiable evaluation

Focuses on the ability to quantify the evaluation process.

statistical analysis

Implies a more rigorous and mathematical approach to the assessment.

numerical appraisal

Similar to numerical evaluation, but with a connotation of formal judgment.

metric evaluation

Emphasizes the use of specific metrics in the evaluation.

empirical measurement

Highlights the reliance on observable and measurable data.

mathematical evaluation

Implies the application of mathematical principles in the assessment.

measurement-based analysis

Emphasizes the reliance on direct measurement as a foundation for analysis.

data-driven appraisal

Suggests the appraisal is heavily based on collected data.

objective evaluation

Highlights the impartiality and fact-based aspects of the evaluation.

FAQs

How can I effectively incorporate "quantitative assessment" into a research paper?

Start by clearly defining your research question and identifying measurable variables. Collect relevant data, apply appropriate statistical methods, and present your findings with confidence intervals or p-values to support your "quantitative assessment".

What are some common methods used in "quantitative assessment"?

Common methods include statistical analysis, regression analysis, t-tests, ANOVA, and survey analysis. The choice of method depends on the nature of your data and research question. For instance, "statistical analysis" is useful when summarizing large sets of data.

How does "quantitative assessment" differ from "qualitative assessment"?

"Quantitative assessment" focuses on numerical data and statistical analysis to measure and analyze phenomena, whereas "qualitative assessment" relies on non-numerical data such as interviews, observations, and case studies to understand meanings and experiences. Quantitative methods provide objective measurements, while qualitative methods offer rich, descriptive insights.

When is it more appropriate to use "quantitative assessment" over other methods?

"Quantitative assessment" is more suitable when you need to measure the magnitude, frequency, or distribution of a phenomenon, test hypotheses, or make predictions based on numerical data. It's particularly useful when you require objective, verifiable results and want to generalize findings to a larger population. Methods of "statistical analysis" are appropriate.