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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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power of generalization

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "power of generalization" is correct and usable in written English.
It can be used in contexts discussing the ability to apply concepts or principles broadly across different situations or examples. Example: "The power of generalization allows us to draw conclusions from specific instances and apply them to a wider range of scenarios."

✓ Grammatically correct

Science

Encyclopedias

News & Media

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

Europeans discovered the notion of proof, the power of generalization, and the superhuman cleverness of the Greeks; they hurried to master techniques that would enable them to improve their calendars and horoscopes, fashion better instruments, and raise Christian mathematicians to the level of the infidels.

First of all, the research sample was drawn in order to increase the power of generalization of the measure, with the participation of various private and public organizations, from different economic sectors, and workers in different occupations.

Hardy said : "He combined a power of generalization, a feeling for form, and a capacity for rapid modification of his hypotheses, that were often really startling, and made him, in his own peculiar field, without a rival in his day.

As a consequence, non-supervised methods such as PCA are more appropriate for an unbiased search of regularities in the data set, have greater power of generalization and potentially can reveal underlying patterns in the neural data.

Science

Plosone

This innate power of generalization stems from the fact that fractal description of protein interior does not resort to (simplistic) rigid body description of proteins with distinguishable atoms, but describes them as "complex systems"[7], [8] with mesoscopic properties[10].

Science

Plosone

By contrast, parameter learning is dependent on the fixed model, whereas structure+parameter learning exhibits a greater power of generalization.

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Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

Inspired by such weighty titles as The Tipping Point, Blink and Outliers, Cory Bortnicker and Brett Molé have built a "generator" of 25 Gladwellian book covers like the above Blank, Yoga: How Hot Trends Make People Buy Books, Vague: The Power of Generalizations To Impress The Bored and (my personal favorite) Monster Cocks: The Last Book You'd Think I'd Write.

News & Media

TechCrunch

We demonstrate the potential power of E-generalization by three example applications: computation of suggestions for auxiliary lemmas in equational inductive proofs, computation of construction laws for given term sequences, and learning of screen editor command sequences.

It is in fact quite obvious that the scientists' strongest intellectual motivation was Einstein's "striving after generalization," and that if they appealed to power at all, it was the interconnected formidable power of abstraction and imagination.

Inequality (1.1) is just a reformulation of the first power weighted generalization of Hardy's original inequality, which is just (1.1) with (alpha =0) (so that (p>1)) (see [26] and [27]).

A well-known source of loss of generalization power is the use of too many predictor variables [ 31].

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Expert writing Tips

Best practice

When discussing the "power of generalization" in academic writing, clearly define the scope and limitations of the generalization to maintain credibility.

Common error

Avoid making sweeping claims without sufficient evidence. The "power of generalization" should be tempered with careful consideration of potential exceptions and counterexamples.

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

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "power of generalization" functions primarily as a noun phrase. It describes an ability or capacity. As Ludwig AI confirms, the phrase is correct and usable. It denotes the strength or ability to apply specific information to broader contexts.

Expression frequency: Uncommon

Frequent in

Science

60%

Encyclopedias

20%

News & Media

20%

Less common in

Formal & Business

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "power of generalization" refers to the ability to apply specific information to broader contexts and is grammatically correct. Ludwig AI's analysis confirms its usability, primarily in formal and scientific settings. While not extremely common, it appears in diverse contexts, including science, encyclopedias and news media. Related phrases, such as "ability to generalize" and "capacity for generalization", offer similar meanings with subtle variations. It's crucial to use this phrase thoughtfully, avoiding overgeneralizations and clearly defining the scope of its application in any research or writing context.

FAQs

How can the "power of generalization" be used effectively in research?

The "power of generalization" in research allows researchers to apply findings from a sample to a larger population. It's crucial to ensure that the sample is representative and the research methodology is rigorous to avoid inaccurate generalizations.

What are some potential pitfalls when using the "power of generalization"?

Overgeneralization is a common pitfall. This occurs when conclusions are drawn about a population based on insufficient evidence or a non-representative sample. It's important to consider potential exceptions and limitations.

What can I say instead of "power of generalization"?

You can use alternatives like "ability to generalize", "capacity for generalization", or "skill in generalizing" depending on the specific context.

How does the "power of generalization" relate to statistical significance?

Statistical significance provides a measure of confidence that the results observed in a sample can be generalized to the larger population. A higher level of statistical significance increases the "power of generalization" but does not guarantee it.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: