Identifying Biasit gets hard to determine

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In summary, there are different types of bias present in the sampling scenarios given. The first scenario exhibits sampling bias, as the sampling criterion (last digit of phone number) may not accurately represent the entire population. The second scenario shows non-response bias, as not all customers returned the survey card. Lastly, the third scenario demonstrates household bias, as only members of a specific group (business association) are being polled, excluding others who may have a different opinion on the proposed tax.
  • #1
SeththeBaller
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[Question]
Identify what, if any, bias is found in each of the following sampling
scenarios.
Explain your answer for each one.

a) Selecting some residents of a building to participate in a survey
of recycling options based on the last digit of their phone number

b)Deciding whether to create a new restaurant menu based on the
responses of customers who returned a survey card

c) Polling members of a business association to gauge public reaction
to a proposed new business tax


[Difficulty]
There's a blur between sampling bias, response bias and household
bias...I don't know which is applicable, but was wondering if I could
get a second opinion for my attempt

[My attempt]
Identify what, if any, bias is found in each of the following sampling
scenarios.
Explain your answer for each one.

a) Selecting some residents of a building to participate in a survey
of recycling options based on the last digit of their phone
number-This is an example of sampling bias as the last digit of the
phone number may not be a good sampling criterion as there may only be
five residents who have that digit, and there may be 200 different
residents

b) Deciding whether to create a new restaurant menu based on the
responses of customers who returned a survey card-This is an example
non-response bias, as the statement implies that there were people
that did not return a survey card, as is usually the case with surveys
that are taken home


c) Polling members of a business association to gauge public reaction
to a proposed new business tax-This is household bias as only polling
members of a business association will exclude those who are not
members of the association or do not own a business
 
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  • #2
I need help please...its really semantics but I don't want to get this question wrong..
 

1. What is bias in scientific research?

Bias in scientific research refers to any outside influence that may affect the outcome of a study or experiment. This can include personal beliefs or values, funding sources, and even unconscious biases of the researchers themselves.

2. How can bias impact the validity of research?

Bias can significantly impact the validity of research by skewing the results and making them unreliable. It can also lead to the misinterpretation of data and conclusions that are not supported by evidence.

3. What are some common types of bias in scientific research?

Some common types of bias in scientific research include confirmation bias, where researchers only seek out evidence that supports their hypothesis, and publication bias, where only studies with positive results are published.

4. How can scientists identify and avoid bias in their research?

Scientists can identify and avoid bias in their research by being aware of their own biases and actively seeking out diverse perspectives. They can also use blind studies and peer review to minimize the impact of bias on their research.

5. Are there any ethical concerns related to bias in scientific research?

Yes, bias in scientific research can raise ethical concerns, particularly if it leads to false or misleading results that could harm individuals or society. It is the responsibility of scientists to minimize bias and ensure the integrity of their research.

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