degrees of explanation

USAGE SUMMARY

The phrase "degrees of explanation" is correct and usable in written English.
It can be used when discussing varying levels or types of explanations for a concept or phenomenon. Example: "In science, there are often degrees of explanation that help clarify complex theories for different audiences."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

When investigating the impact of physician-related factors on sick listing, we found much lower degrees of explanation, with a maximum of between 8% with the rmethod and 36% with the ROC method [ 10].

BMC Family Practice

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

"It follows that this is not one of those cases in which a defendant's actions may find a degree of explanation in his family circumstances.

Independent

For one thing, doctors (at least those with a good "bedside manner") can provide a degree of explanation and interaction that algorithms will never be capable of offering.

Massachusetts Institute of Technology

Furthermore, using digitised networks as inputs, empirically-based minimal biophysical mass-flow models already provide a high degree of explanation for patterns of long-distance radiolabel movement, and hint at global control mechanisms emerging naturally as a consequence of the intrinsic hydraulic connectivity.

Fungal Biology Reviews

The coefficient of determination R2 reads only 0.0093, presenting a low degree of explanation.

International Journal of Anthropology and Ethnology

Nevertheless, the underlying regression models contribute only a low degree of explanation to the overall variance of the C fixation.

Environmental Sciences Europe

This practice takes discipline, to be sure, and it often requires a degree of explanation when a task is ultimately completed.

Forbes

In the northwest, however, the relationship is not very significant and the coefficient of determination R2 reads only 0.0101 with a low degree of explanation, as shown in Fig. 6b.

International Journal of Anthropology and Ethnology

Including also the previous sick leave track record increased the degree of explanation to approximately 85%, and by including all other significant determinants degree of explanation approached 88%-90%%.

BMC Public Health

As shown in Figure  2, access to all six variables provided an excellent degree of explanation.

BMC Public Health

The "degree of explanation" (ROC) was calculated as: (area fraction - 0.5) × 2 × 100.

BMC Family Practice

Expert writing Tips

Best practice

When discussing statistical models, use "degrees of explanation" to quantify how much variance in the dependent variable is accounted for by the independent variables. This provides a clear, numerical measure of the model's explanatory power.

Common error

Avoid using "degrees of explanation" to suggest a causal relationship when only a correlation has been established. The phrase should reflect the extent to which a model fits the data, not necessarily that it proves causation.

Linguistic Context

The phrase "degrees of explanation" functions as a noun phrase that quantifies or qualifies the extent to which something can be explained or understood. It is often used in academic, scientific, and professional contexts to assess the completeness or satisfactoriness of an explanation.

Expression frequency: Common

Frequent in

Science

58%

News & Media

17%

Academia

13%

Less common in

Formal & Business

8%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "degrees of explanation" is a noun phrase used to quantify how well something is explained, often in academic, scientific, and professional contexts. Ludwig AI indicates that the phrase is grammatically correct and usable in written English. It commonly appears in Science, News & Media, and Academia, signifying analytical depth and precision. When using "degrees of explanation", ensure that it reflects the extent to which a model fits the data without implying causation where only correlation exists. Alternatives include ""levels of explanation"" or "depth of explanation", which can provide similar shades of meaning.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

levels of explanation

Focuses on different strata or depths of explanation.

extent of explanation

Emphasizes the breadth or scope covered by the explanation.

depth of explanation

Highlights how thoroughly something is explained.

scope of explanation

Indicates the range or comprehensiveness of the explanatory details.

range of explanations

Suggests multiple explanations varying across a spectrum.

spectrum of explanation

Implies a continuum of explanatory approaches.

gradation of explanation

Highlights the incremental differences in explanatory detail.

variety of explanations

Focuses on the diversity of different possible explanations.

types of explanations

Refers to distinct categories or classes of explanations.

aspects of explanation

Highlights specific facets or elements within an explanation.

FAQs

How can I use "degrees of explanation" in a sentence?

You can use "degrees of explanation" to describe how well certain factors account for a phenomenon, for instance: "The study revealed varying "levels of explanation" for student performance based on socioeconomic background."

What's a more formal way to say "degrees of explanation"?

In formal contexts, consider using phrases like "extent of explanation" or "depth of explanation" to maintain a sophisticated tone.

Is "degrees of explanation" the same as "level of explanation"?

While similar, "degrees of explanation" often implies a quantifiable measure or range of explanatory power, whereas "level of explanation" may simply refer to the complexity or detail provided in an explanation.

What are some alternative phrases for "degrees of explanation" in statistical analysis?

In statistical contexts, you might use "variance explained", "coefficient of determination (R-squared)", or "explanatory power" to convey how much of the variance in the dependent variable is accounted for by the model.