/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 88 Age for legal alcohol You want t... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Age for legal alcohol You want to investigate the opinions students at your school have about whether the age for legal drinking of alcohol should be 18 . a. Write a question to ask about this in a sample survey in such a way that results would be biased. Explain why it would be biased. b. Now write an alternative question that should result in unbiased responses.

Short Answer

Expert verified
Ask neutrally: "What is your opinion on the legal drinking age being 18?"

Step by step solution

01

Formulating a Biased Question

To create a biased survey question, you might ask: "Do you agree that mature 18-year-olds should be allowed to drink alcohol, just like in many other progressive countries?" This question suggests that 18-year-olds are mature and implies that countries allowing 18-year-olds to drink are progressive, leading respondents towards a positive response.
02

Identifying the Source of Bias

The bias in the question arises from words like "mature," "should," and "progressive." These words carry positive connotations and suggest that agreeing with the statement is the better or more acceptable opinion, thus influencing the responses.
03

Formulating an Unbiased Question

An unbiased question would avoid leading language or emotional terms. For example, you could ask: "What is your opinion on the legal drinking age being 18?" This question is neutral and doesn't suggest that one response is better than another.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Question Formulation
When crafting questions for a survey, especially on topics as sensitive as legal drinking age, clarity and neutrality are key. **Question formulation** plays a critical role in determining the quality and reliability of survey results. A poorly formulated question can lead respondents toward a particular answer, undermining the survey's objective. Consider the biased question: *"Do you agree that mature 18-year-olds should be allowed to drink alcohol, just like in many other progressive countries?"* This question is problematic because it includes terms like "mature" and "progressive," which imply a certain expectation. Here’s how these terms skew the question: - **Mature**: Suggests that being 18 inherently implies maturity, which might not be universally accepted. - **Progressive**: Positively frames allowing 18-year-olds to drink, implying that not agreeing is regressive. Instead, seek out clarity and neutrality by formulating questions that simply present the issue without added bias. An alternative question might be: *"What is your opinion on the legal drinking age being 18?"* Here are qualities of this unbiased question: - **Neutral Language**: It avoids emotionally charged or leading words. - **Balanced Phrasing**: The question is open-ended, allowing participants to express any viewpoint.
Response Bias
Response bias refers to the tendency of survey respondents to answer questions inaccurately or falsely, which can seriously skew survey results. It might occur if the phrasing of the question leads or pressures respondents towards a particular response. For instance, in a question like: *"Do you agree that mature 18-year-olds should be allowed to drink alcohol, just like in many other progressive countries?"* there's an implication of an expected answer. Such a setup may pressure respondents to conform to societally 'approved' standards or viewpoints, creating a **social desirability bias**. There are several common types of response bias: - **Social Desirability Bias**: When respondents answer in a manner they believe is more socially acceptable, rather than how they truly feel. - **Acquiescence Bias**: Where respondents tend to agree with statements as presented, especially if they seem authoritative. Understanding and identifying response bias is crucial for surveys to accurately reflect true opinions and experiences. Survey designers must be acutely aware of their language to minimize these influences.
Survey Design
Survey design is a comprehensive approach that incorporates how questions are structured, the sequence in which they're presented, and the overall format of the survey. Effective survey design helps in reducing bias, ensuring clarity, and improving the reliability of collected data. When designing a survey, especially on a controversial subject such as the legal drinking age, it is essential to: - **Ensure Question Neutrality**: Avoid leading language and ensure phrasing is unbiased. - **Randomize Question Order**: To prevent order effects where the sequence of questions influences responses. - **Use Consistent Scales**: If you're asking for ratings or levels of agreement, maintain the same scale format across questions to avoid confusion. A well-designed survey will not only prevent survey bias but also engage respondents, encouraging them to provide thoughtful, honest responses. With carefully crafted questions and considerations for respondent comfort, such surveys can derive valuable insights into public opinion.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

A 2016 study (http://europepmc.org/abstract/med/26451509) investigated parallels between affect recognition in mothers with remitted depression and their children. They examined two groups - a group of remitted depressed mothers and a group of healthy mothers. Mothers with remitted depression showed a higher accuracy and response bias for sadness. The authors found corresponding results in their children. Children of remitted depressed mothers appeared to be exposed to a sadness processing bias outside acute depressive episodes. This could make children of depressed mothers more vulnerable to depressive disorders themselves. a. Identify the response variable and the explanatory variable. b. Is this study an observational study or an experiment? Explain. c. Can we conclude that a child's depressive disorder could be the result of having a mother with remitted depression? Explain.

A nationwide census is conducted in the United States every 10 years. a. Give at least two reasons the United States takes a census only every 10 years. b. What are reasons for taking the census at all? c. The most commonly discussed characteristic learned from a census is the size of the population. However, other characteristics of the population are measured during each census. Using the Internet, report two such characteristics recorded during the 2010 U.S. census. (Hint: Visit the following website: www.census.gov/2010.census.)

Smoking and heart attacks A Reuters story (April 2,2003) reported that "The number of heart attack victims fell by almost \(60 \%\) at one hospital six months after a smoke-free ordinance went into effect in the area (Helena, Montana), a study showed, reinforcing concerns about second-hand smoke." The number of hospital admissions for heart attack dropped from just under seven per month to four a month during the six months after the smoking ban. a. Did this story describe an experiment or an observational study? b. In the context of this study, describe how you could explain to someone who has never studied statistics that association does not imply causation. For instance, give a potential reason that could explain this association.

A study published by www.tobaccofreekids.org concluded that prevention campaigns organized by tobacco companies were ineffective at best and even worked to encourage kids to smoke. Nevertheless, tobacco companies spent \(\$ 9.6\) billion on such prevention campaigns in 2012 in the U.S. a. Are the variables \(y=\) amount spent on tobacco company prevention campaigns per year in the U.S. and \(x=\) annual number of young smokers positively or negatively correlated? b. What, in your opinion, could be the real reason tobacco companies have youth prevention campaigns?

Multiple choice: Effect of response categories \(\quad\) A study (N. Schwarz et al., Public Opinion Quarterly, vol. \(49,1985,\) p. 388 ) asked German adults how many hours a day they spend watching TV on a typical day. When the possible responses were the six categories (up to \(\frac{1}{2}\) hour, \(\frac{1}{2}\) to 1 hour, 1 to \(1 \frac{1}{2}\) hours, \(\ldots,\) more than \(2 \frac{1}{2}\) hours \(), 16 \%\) of respondents said they watched more than \(2 \frac{1}{2}\) hours per day. When the six categories were (up to \(2 \frac{1}{2}\) hours, \(2 \frac{1}{2}\) to 3 hours, ..., more than 4 hours \(), 38 \%\) said they watched more than \(2 \frac{1}{2}\) hours per day. a. The samples could not have been random, or this would not have happened. b. This shows the importance of question design, especially when people may be uncertain what the answer to the question really is. c. This study was an experiment, not an observational study.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.