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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
explanatory power
Grammar usage guide and real-world examplesUSAGE SUMMARY
"explanatory power" is correct and usable in written English.
You can use it when you want to make a statement about something's ability to explain or clarify an idea, concept, or phenomenon. For example, "This data offers compelling evidence of the predictive model's explanatory power."
✓ Grammatically correct
Science
News & Media
Academia
Alternative expressions(20)
theoretical framework
usefulness
wide value
valuable value
informative analysis
informational significance
informative amount
exposure power
educational significance
relevance
educational value
informative presentation
informative speech
informative value
useful value
informative sketch
informative stick
substantial value
informative article
illustrative significance
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
However, it has some explanatory power.
News & Media
Its explanatory power is inevitably, however, much weaker.
News & Media
Gulbranson's moment of hesitation contains a certain explanatory power.
News & Media
Janis's book "Groupthink" retains its explanatory power today.
News & Media
The explanatory power of party ID, therefore, is essentially zero.
News & Media
All of our models had low explanatory power.
Academia
All of these factors have some explanatory power.
Academia
Thus, this preference also fails to carry much explanatory power.
Academia
The explanatory power of all factors was 33.6%.
The explanatory power of OM removal treatments partially overlapped with the explanatory power of the environmental variables, according to a variation partition analysis (Fig. 3d).
Science & Research
"A deep-learning system doesn't have any explanatory power," as Hinton put it flatly.
News & Media
Expert writing Tips
Best practice
When discussing statistical models, quantify the "explanatory power" using metrics like R-squared to provide concrete evidence of the model's effectiveness.
Common error
Avoid claiming that a single factor has complete "explanatory power" when multiple variables likely contribute to the phenomenon. Acknowledge the limitations and potential influences of other factors.
Source & Trust
84%
Authority and reliability
4.6/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "explanatory power" functions as a noun phrase, typically serving as the object of a verb or preposition. It describes the ability or capacity to explain a concept, phenomenon, or set of data. Ludwig AI confirms its usability in written English.
Frequent in
Science
45%
News & Media
25%
Academia
20%
Less common in
Encyclopedias
5%
Formal & Business
5%
Social Media
0%
Ludwig's WRAP-UP
In summary, "explanatory power" is a noun phrase that denotes the ability of something to explain or clarify a concept, phenomenon, or set of data. It is grammatically correct and very commonly used, particularly in scientific, academic, and news contexts. Ludwig AI confirms its validity. The phrase is often used to evaluate theories, models, or factors, assessing their effectiveness in providing explanations. While it is generally used in formal and scientific registers, careful consideration should be given to avoid overstating the explanatory capabilities of a single factor and instead acknowledge the potential influences of multiple variables. Alternative phrases such as "interpretive strength" or "illuminating potential" can be used to add nuance depending on the specific context.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
elucidating capability
Focuses on the ability to make something clear and understandable.
interpretive strength
Focuses on the ability to interpret and understand, rather than just explain.
illuminating potential
Emphasizes the ability to shed light on a topic or idea.
descriptive capacity
Highlights the ability to describe something comprehensively.
revealing insight
Highlights the capacity to uncover hidden truths or understandings.
understanding scope
Emphasizes the breadth and depth of understanding provided.
cognitive grasp
Highlights the ability to mentally understand and process information.
theoretical framework
Refers to a structured set of principles used to explain phenomena.
predictive validity
Focuses on the ability to accurately predict future outcomes based on current data.
accounting for variance
Emphasizes the statistical ability to explain the variation in data.
FAQs
How is "explanatory power" used in academic writing?
In academic writing, "explanatory power" refers to the extent to which a theory or model can explain observed phenomena. It's often used to evaluate the effectiveness of different approaches in explaining a particular concept or event. For example, a study might compare the "explanatory power" of two competing theories.
What are some alternatives to using the phrase "explanatory power"?
Depending on the context, you could use alternatives like "interpretive strength", "descriptive capacity", or "illuminating potential". These phrases offer nuanced ways to describe the ability to explain or clarify something.
What does it mean for a model to have high "explanatory power"?
When a model has high "explanatory power", it means that it can accurately explain a large portion of the variance in the data. This indicates that the model is effective in capturing the key factors that influence the phenomenon being studied.
How is "explanatory power" different from "predictive power"?
"Explanatory power" refers to the ability to explain why something happens, while "predictive power" refers to the ability to forecast future outcomes. A model can have high predictive power without necessarily having high "explanatory power", and vice versa. For example, a complex algorithm might accurately predict stock prices without providing a clear understanding of the underlying economic factors.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
84%
Authority and reliability
4.6/5
Expert rating
Real-world application tested