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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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voluntary bias

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "voluntary bias" is correct and usable in written English.
It can be used in contexts discussing personal preferences or inclinations that are consciously chosen rather than imposed. Example: "The study revealed a voluntary bias in participants' responses, as they tended to favor options that aligned with their personal beliefs."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

In our study, the adverse selection might be more likely to occur with the student health insurance program than the free health insurance program, since the student health insurance program is more based on the voluntary bias.

Firstly, it was implemented on a voluntary bias within the dialysis units.

In Experiment 1, we simply asked observers to produce a voluntary bias in favour of one of the two responses.

These approaches carry the risk of a voluntary bias, because it is unlikely that owners report all tumours to the registry [ 16, 43].

Voluntary bias can be defined as the result of the fact that a particular sample can contain only those participants who are actually willing to participate in the study and who participate and find the topic particularly interesting are more likely to volunteer for that study, same to those who are expected to be evaluated on a positive level [ 34].

Voluntary bias can be defined as that comes from the fact that a particular sample can contain only those participants who are actually willing to participate in the study and who participate and find the topic particularly interesting and who are more likely to volunteer for that study, with the same being for those who are expected to be evaluated on a positive level [ 34].

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

In statistics, it's known as "voluntary response bias" — the fact that volunteers are more likely to have extreme opinions.

News & Media

The New Yorker

Nevertheless, potential voluntary response bias, or over-representation of respondents with strong opinions, was assessed by comparing the responses of those respondents who were randomly selected (64% of the sample) with those who were suggested (18%) and those who volunteered themselves (18%).

Science

Plosone

Fourth, participation in the program was voluntary, and bias due to non-response could therefore not be ruled out in intervention studies.

Voluntary response bias occurs when respondents are self-selected volunteers and may represent those with the strongest opinions or most severe disease.

The "voluntary response bias", always to be considered in voluntary survey, should also be mentioned here, whereby the presentation in a system of categories serves to strengthen the representativeness of findings.

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Expert writing Tips

Best practice

When designing research, be aware of "voluntary bias" and take steps to mitigate its effects, such as employing stratified sampling or weighting results.

Common error

Avoid assuming that a sample obtained through "voluntary bias" is representative of the entire population. Always acknowledge the potential for skewed results.

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 "voluntary bias" functions as a noun phrase that identifies a specific type of bias arising from voluntary participation in a study or activity. Ludwig confirms the usage in scientific contexts, highlighting its role in describing skewed data or results.

Expression frequency: Uncommon

Frequent in

Science

80%

News & Media

15%

Formal & Business

5%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

Voluntary bias is a type of bias that arises when participation is voluntary, leading to a sample that may not accurately represent the broader population. As Ludwig AI confirms, this phrase is grammatically correct and frequently used in scientific and research contexts to acknowledge potential limitations in study results. Related terms include "self-selection bias" and "response bias". To mitigate the effects of "voluntary bias", researchers should employ strategies such as random sampling or weighting results. Recognizing and addressing "voluntary bias" is crucial for ensuring the validity and reliability of research findings.

FAQs

What is "voluntary bias" in research?

"Voluntary bias" occurs when participants in a study are self-selected volunteers, leading to results that may not accurately reflect the entire population due to the specific characteristics of those who choose to participate.

How does "voluntary bias" affect survey results?

In surveys, "voluntary bias" can skew results because people with strong opinions or particular interests are more likely to respond, leading to an overrepresentation of their views.

What are some strategies to reduce "voluntary bias"?

Strategies to reduce "voluntary bias" include using random sampling techniques, offering incentives to encourage broader participation, and weighting the results to account for known demographic skews.

What's the difference between "voluntary bias" and "selection bias"?

"Voluntary bias" is a type of "selection bias" that specifically arises from the voluntary nature of participation, whereas selection bias is a broader term referring to any systematic difference between those included in a study and those excluded.

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Source & Trust

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Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: