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Determine if the following questions are well written survey questions. If the question is not well written explain the mistake that was made. Why is it not good to not text while driving?

Short Answer

Expert verified
The question is not well written due to double negatives and implicit bias; it should be simplified for clarity.

Step by step solution

01

Identify Negations

The question uses double negatives, "not good" and "not text while driving," which can make it confusing for respondents. Double negatives often lead to misunderstandings about what the respondent is being asked.
02

Analyze Bias

The phrasing "not good to not text" can imply an expectation that not texting while driving is inherently negative, which introduces bias. It is important to formulate neutral questions in surveys to avoid leading the respondents towards a particular answer.
03

Simplify the Question

Rewrite the question to eliminate double negatives and make it clear and direct. For example, a clearer version could be, "What are the effects of texting while driving?" This rephrased version is straightforward and does not imply any particular stance.

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Key Concepts

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

Double Negatives in Questions
In survey design, clarity is key. Using double negatives in questions can confuse respondents and skew your survey results. A double negative occurs when two negative expressions are used within the same sentence. This often leaves the participant questioning the true intention of the question. For instance, the question "Why is it not good to not text while driving?" is a classic example.

The double negatives "not good" and "not text while driving" create a sentence structure that can perplex many respondents. The respondent might struggle to discern whether the question hints at supporting or opposing the act of texting while driving. Essentially, it transforms a simple inquiry into a puzzle, detracting from the main goal of gathering clear and direct responses. To eliminate confusion, ensure that questions are phrased as plainly as possible, steering clear of double negatives. This allows participants to focus on the content of the question rather than deciphering it.
  • Avoid using phrases like "can't you not" or "don't you never".
  • Rephrase questions to a positive or straightforward form.
  • Test questions independently to verify clarity.
Bias in Survey Questions
Bias in survey questions can lead to collecting skewed data that does not accurately reflect genuine opinions or behaviors. This occurs when the wording of a question subtly influences respondents towards a specific answer. In the provided example, phrasing like "not good to not text" inherently implies a perspective that might lead respondents to believe that the action of texting while driving is somewhat justified.

The fundamental principle in survey design is to ensure questions are free from persuasive language. This can be achieved by:
  • Eliminating any leading terms that suggest one answer is more correct than another.
  • Using balanced language that allows the respondent to arrive at their own judgment.
  • Asking open-ended questions, when appropriate, to capture a range of responses.
Formulating unbiased questions is vital as it preserves the integrity of the data collected and provides an authentic reflection of the respondents' viewpoints.
Neutral Question Formulation
The aim of a neutral question is to gather data without influencing the respondent's viewpoint. Creating neutral questions in surveys involves crafting questions that are clear, precise, and devoid of any language that could sway respondent opinions. In the context of the original question, a neutral approach would involve steering clear from any phrasing that might imply judgment or expectation.

For example, the question "What are the effects of texting while driving?" exemplifies neutrality. It is straightforward and does not predispose responses either favorably or unfavorably towards texting while driving. Here's how to craft neutral survey questions:
  • Use factual language devoid of emotional or subjective terms.
  • Ensure questions are as short and clear as possible to minimize misinterpretation.
  • In cases where information is sought, ask direct questions that focus solely on facts.
  • When ambiguity arises, rephrase the question to eliminate potential biases.
By maintaining neutrality in question formulation, respondents can provide answers that mirror their true beliefs, thus enhancing the reliability of the survey's findings.

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Most popular questions from this chapter

For Exercises 9 through 14, explain how each experiment can be simulated by using random numbers. Fewer than one-half of all mothers are stay-at-home parents. Recent statistics indicate that \(68.1 \%\) of all mothers with children under age 18 are in the labor force. Explain how to create a simulation to represent this situation.

Determine if the following questions are well written survey questions. If the question is not well written explain the mistake that was made. Do you regularly use alcohol?

Give an example of how response bias might OCCUr.

Give three examples of simulation techniques.

Overview of U.S. Public Schools $$ \begin{array}{lcc} \hline \text { State } & \text { Pupils per teacher } & \text { Average population } \\ \hline \text { AL } & 15.9 & 47,949 \\ \text { AK } & 13.3 & 65,468 \\ \text { AZ } & 17.5 & 49,885 \\ \text { AR } & 15.0 & 46,631 \\ \text { CA } & 24.9 & 69,324 \\ \text { CO } & 17.6 & 49,844 \\ \text { CT } & 13.2 & 69,397 \\ \text { DE } & 14.3 & 59,679 \\ \text { FL } & 15.8 & 48,598 \\ \text { GA } & 15.7 & 52,880 \\ \text { HI } & 15.8 & 54,300 \\ \text { ID } & 18.3 & 49,734 \\ \text { IL } & 15.9 & 59,113 \\ \text { IN } & 18.6 & 50,065 \\ \text { IA } & 14.3 & 50,946 \\ \text { KS } & 13.9 & 47,464 \\ \text { KY } & 15.8 & 50,203 \\ \text { LA } & 13.8 & 51,381 \\ \text { ME } & 12.4 & 48,430 \\ \text { MD } & 14.7 & 64,248 \\ \text { MA } & 13.9 & 72,334 \\ \text { MI } & 18.4 & 61,560 \\ \text { MN } & 15.9 & 56,268 \\ \text { MS } & 15.2 & 41,814 \\ \text { MO } & 13.2 & 47,517 \\ \text { MT } & 13.4 & 48,855 \\ \text { NE } & 9.8 & 48,997 \\ \text { NV } & 18.1 & 55,957 \\ \text { NH } & 12.1 & 55,599 \\ \text { NJ } & 12.0 & 68,797 \\ \text { NM } & 15.0 & 45,453 \\ \text { NY } & 12.0 & 75,279 \\ \text { NC } & 15.1 & 45,737 \\ \text { ND } & 12.2 & 47,344 \\ \text { OH } & 17.4 & 56,307 \\ \text { OK } & 16.1 & 44,373 \\ \text { OR } & 21.8 & 57,612 \\ \text { PA } & 14.6 & 62,994 \\ \text { RI } & 13.4 & 63,474 \\ \text { SC } & 14.3 & 48,375 \\ \text { SD } & 13.8 & 39,018 \\ \text { TN } & 15.0 & 47,563 \\ \text { TX } & 15.4 & 48,819 \\ \text { UT } & 21.6 & 49,393 \\ \text { VT } & 9.2 & 52,526 \\ \text { VA } & 12.3 & 48,670 \\ \text { WA } & 19.7 & 52,234 \\ \text { WV } & 14.3 & 45,453 \\ \text { WI } & 15.5 & 53,797 \\ \text { WY } & 12.4 & 56,775 \end{array} $$ Select a systematic sample of 10 states, and find the mean of the average population and the mean of the pupils per teacher. How do your results compare with the U.S. figures?

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