4 I poll all people (both students and professors) at Baylor about their average food expenditures each week. I do this through an instagram poll. What blas or effect might I see? response bias Hawthorne effect nonresponse bias 000000 placebo effect selection bias Rosenthall effect

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### Question 4

**Scenario:**  
I poll all people (both students and professors) at Baylor about their average food expenditures each week. I do this through an Instagram poll. What bias or effect might I see?

**Options:**

- Response bias
- Hawthorne effect
- Nonresponse bias
- Placebo effect
- Selection bias
- Rosenthal effect

### Explanation:

This question addresses potential biases or effects that may arise when conducting surveys or polls. The use of an Instagram poll as a method of data collection can influence the results in various ways. Here's a brief explanation of each option:

- **Response bias:** This occurs when participants provide inaccurate answers due to the way questions are asked or due to their perceptions, potentially skewing the data.

- **Hawthorne effect:** This refers to the tendency of people to change their behavior because they are aware they are being observed.

- **Nonresponse bias:** This occurs when certain individuals do not respond to the poll, leading to a sample that is not fully representative of the entire population.

- **Placebo effect:** This is more relevant in experimental settings, where participants show changes due to their belief in being treated, rather than due to the actual treatment.

- **Selection bias:** This occurs when the sample is not representative of the population due to the method of participant selection.

- **Rosenthal effect:** Also known as the experimenter expectancy effect, this refers to the influence that a researcher's expectations might have on the participants of a study.

In this scenario, using an Instagram poll could particularly lead to nonresponse and selection biases, depending on who follows the account and chooses to respond.
Transcribed Image Text:### Question 4 **Scenario:** I poll all people (both students and professors) at Baylor about their average food expenditures each week. I do this through an Instagram poll. What bias or effect might I see? **Options:** - Response bias - Hawthorne effect - Nonresponse bias - Placebo effect - Selection bias - Rosenthal effect ### Explanation: This question addresses potential biases or effects that may arise when conducting surveys or polls. The use of an Instagram poll as a method of data collection can influence the results in various ways. Here's a brief explanation of each option: - **Response bias:** This occurs when participants provide inaccurate answers due to the way questions are asked or due to their perceptions, potentially skewing the data. - **Hawthorne effect:** This refers to the tendency of people to change their behavior because they are aware they are being observed. - **Nonresponse bias:** This occurs when certain individuals do not respond to the poll, leading to a sample that is not fully representative of the entire population. - **Placebo effect:** This is more relevant in experimental settings, where participants show changes due to their belief in being treated, rather than due to the actual treatment. - **Selection bias:** This occurs when the sample is not representative of the population due to the method of participant selection. - **Rosenthal effect:** Also known as the experimenter expectancy effect, this refers to the influence that a researcher's expectations might have on the participants of a study. In this scenario, using an Instagram poll could particularly lead to nonresponse and selection biases, depending on who follows the account and chooses to respond.
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