measure of objectivity

USAGE SUMMARY

The phrase "measure of objectivity" is correct and usable in written English.
It can be used when discussing the extent to which something is unbiased or impartial, often in contexts like research, analysis, or evaluation. Example: "The study provided a clear measure of objectivity, allowing us to assess the validity of the findings."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

In approaching the issue I make no excuses in being biased in favour of scientific, egalitarian and humanistic values through seeking to bring some measure of objectivity to bear on the subject.

The Guardian

Though the film exhibits an undeniably pro-Panther stance, Nelson's inclusion of contributions from historians, journalists and even white former cops helps to foster a rich sense of depth, and adds a measure of objectivity.

The Guardian - Film

Where their newscasts once brought a measure of objectivity to a region dominated by servile state-run media, they are increasingly viewed as mouthpieces for the foreign policy objectives of Qatar and Saudi Arabia.

The New York Times

OCT imaging creates a thickness profile of the retina that mimics quite accurately the histological arrangement of the retina and has the additional benefit of some measure of objectivity.

Plosone

First, why do we need the approval disapproval triangulation machinery for getting a measure of objectivity in the first place?

Biology and Philosophy

The ACT/RCPCH archetypes provide a measure of objectivity but still rely on a certain degree of subjective judgment.

BMC Palliative Care

Human-verified similar examples from authoritative sources

Similar Expressions

51 human-written examples

The purpose of this article is to demonstrate how to improve research beneficence and extend measures of objectivity in environmental health studies that take place in local, geographic communities, particularly those with culturally diverse groups.

Encyclopedia of Environmental Health

One measure of our objectivity is shown by the tendency of our results to be critical of practice despite our previous, and continuing, close relationships with, and high regard for, the professionals who were observed.

BMC Geriatrics

Scientific validity has historically been measured against notions of objectivity.

Emotion, Space and Society

For Longino, such criticism suggests the need for a better norm of objectivity, "measured against the cognitive needs of a genuinely democratic community" (Longino 1990, 236).

SEP

A more severe definition of objectivity that would require a measure of validity outside any tradition of inquiry or paradigm or episteme or habitus is simply uncashable.

The New York Times

Expert writing Tips

Best practice

When striving for "measure of objectivity", ensure your methodology is transparent and replicable. Clearly define your criteria and processes to minimize subjective interpretation.

Common error

Avoid claiming complete objectivity. Instead, acknowledge potential biases and limitations, focusing on minimizing subjectivity through rigorous methods and diverse perspectives.

Linguistic Context

The phrase "measure of objectivity" functions primarily as a noun phrase. It denotes the degree to which something is free from personal bias or prejudice. This is supported by Ludwig, which shows its use in contexts where impartiality is assessed. Ludwig AI confirms the phrase is correct and usable in written English.

Expression frequency: Uncommon

Frequent in

Science

50%

News & Media

40%

Encyclopedias

10%

Less common in

Formal & Business

0%

Social Media

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "measure of objectivity" is a grammatically correct and usable phrase that describes the extent to which something is free from bias. According to Ludwig, its common contexts are science and news media, reflecting its role in assessing impartiality and fairness. While it is not extremely common, employing transparent methodologies and acknowledging limitations are key practices. Ludwig AI suggests using similar phrases like "degree of impartiality" or "level of fairness" to refine meaning. Remember to avoid overstating complete objectivity and instead, focus on minimizing subjectivity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

degree of impartiality

Focuses on the extent to which something is unbiased.

level of fairness

Emphasizes the equitable assessment involved.

extent of neutrality

Highlights the lack of alignment to any side.

indicator of bias

Shifts the focus to identifying potential prejudices.

gauge of accuracy

Concentrates on the precision and correctness of the evaluation.

index of impartiality

Uses 'index' to imply a systematic measurement of unbiasedness.

yardstick of fairness

Metaphorically uses 'yardstick' to represent a standard for equitable judgment.

benchmark of neutrality

Emphasizes setting a standard for unbiased evaluation.

criterion for unbiasedness

Stresses the standards used to ensure lack of bias.

metric for detachment

Highlights the separation from personal feelings or opinions.

FAQs

How can I incorporate a "measure of objectivity" in research?

Employ standardized protocols, use validated instruments, and ensure inter-rater reliability. Triangulate data from multiple sources to reduce reliance on any single, potentially biased, perspective.

What's the difference between "degree of impartiality" and "measure of objectivity"?

While similar, "measure of objectivity" implies a quantified or assessed level of unbiasedness, whereas "degree of impartiality" focuses more generally on the extent to which bias is absent.

In what contexts is it important to strive for a "measure of objectivity"?

It's crucial in research, journalism, legal proceedings, and any situation where fair and unbiased evaluation is essential for accurate and just outcomes.

Are there alternatives to the phrase "measure of objectivity"?

Yes, depending on the context, you could use phrases like "level of fairness", "extent of neutrality", or "indicator of bias".