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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
voluntary bias
Grammar usage guide and real-world examplesUSAGE 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
Alternative expressions(1)
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
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.
Science
Firstly, it was implemented on a voluntary bias within the dialysis units.
Science
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].
Science
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
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
Fourth, participation in the program was voluntary, and bias due to non-response could therefore not be ruled out in intervention studies.
Science
Voluntary response bias occurs when respondents are self-selected volunteers and may represent those with the strongest opinions or most severe disease.
Science
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.
Science
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.
Source & Trust
82%
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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.
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.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
self-selection bias
Focuses specifically on the bias introduced when participants choose to participate.
response bias
Highlights the bias in responses due to the willingness of participants to answer.
participant bias
Emphasizes the bias that arises from the characteristics of the participants themselves.
intentional skew
Suggests a deliberate slant or distortion in the data due to voluntary actions.
choice-induced bias
Highlights how the act of choosing can introduce bias into a situation or result.
self-reported bias
Indicates bias arising from data that is voluntarily provided by individuals.
volunteer effect
Broader term referring to systematic differences between volunteers and non-volunteers.
preference bias
Implies that bias stems from preferences or inclinations that are freely chosen.
selective reporting
Highlights the act of choosing what to report, which can introduce bias.
non-random selection
Points out the bias that comes from a sample not being randomly selected.
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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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
82%
Authority and reliability
4.1/5
Expert rating
Real-world application tested