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Question 4: In each of the following situations, fill in the blank with either selection, non-response, or response to determine the type of bias and state why? 1. A survey question asked of unmarried men was, "What is the most important feature you consider when deciding whether to date somebody?" The results were found to depend on whether the interviewer was male or female. This is an example of [gender] bias. 2. In a study of women's opinions about community issues, investigators randomly selected a sample of households and interviewed a woman from each selected household. When no woman was present in a selected household, a next-door neighbor was interviewed instead. The survey was done during daytime hours, so working women might have been disproportionately missed. This is an example of [selection] bias. 3. A telephone survey of 600 residences was conducted. People refused to talk to the interviewer in 250 of the residences. This is an example of [non-response] bias.

          Question 4: In each of the following situations, fill in the blank with either selection, non-response, or response to determine the type of bias and state why?

1. A survey question asked of unmarried men was, "What is the most important feature you consider when deciding whether to date somebody?" The results were found to depend on whether the interviewer was male or female. This is an example of [gender] bias.

2. In a study of women's opinions about community issues, investigators randomly selected a sample of households and interviewed a woman from each selected household. When no woman was present in a selected household, a next-door neighbor was interviewed instead. The survey was done during daytime hours, so working women might have been disproportionately missed. This is an example of [selection] bias.

3. A telephone survey of 600 residences was conducted. People refused to talk to the interviewer in 250 of the residences. This is an example of [non-response] bias.

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Added by Kevin R.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Joanna Quigley

01/26/2024

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This is an example of interviewer bias. The results were found to depend on whether the interviewer was male or female, indicating that the interviewer's gender influenced the responses given by the unmarried men. Show more…

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Question 4: In each of the following situations, fill in the blank with either selection, non-response, or response to determine the type of bias and state why? 1. A survey question asked of unmarried men was, "What is the most important feature you consider when deciding whether to date somebody?" The results were found to depend on whether the interviewer was male or female. This is an example of [gender] bias. 2. In a study of women's opinions about community issues, investigators randomly selected a sample of households and interviewed a woman from each selected household. When no woman was present in a selected household, a next-door neighbor was interviewed instead. The survey was done during daytime hours, so working women might have been disproportionately missed. This is an example of [selection] bias. 3. A telephone survey of 600 residences was conducted. People refused to talk to the interviewer in 250 of the residences. This is an example of [non-response] bias.

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Transcript

00:01 So we're given some situations and we want to know if they are examples of selection, non -response or response bias.

00:08 So let's go through what these mean.

00:13 Selection, non -response and response.

00:17 So these are three types of bias you might have when trying to conduct a survey or collect data.

00:24 Starting with selection bias.

00:27 So selection bias is where you have made some kind of error.

00:34 You're deciding how to pick your survey participants and you've done it wrong.

00:38 So the researcher does not pick a representative sample.

00:55 Non -response is where you have the option for people to respond to you and some of them don't.

01:02 And the ones who don't respond are different in some way to be ones that do.

01:06 Often you'll ask some question and the people who are really invested in the topic respond and the people who don't really care don't.

01:14 That's non -response bias and you end up seeing wow people really care about this topic but of course only the people who care answered the survey.

01:22 So it's where the people not responding bias results.

01:36 Response bias is a bias in what people actually say.

01:41 So there's something to do with your survey where the the responses they give are not 100 % valid.

01:49 So invalid responses to your survey.

01:54 This can be how you word questions, for example...

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