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Chapter 1: Problem 41

Why is a high response rate desired? How would a low response rate affect survey results?

Short Answer

Expert verified
A high response rate increases the accuracy and reliability of survey results. A low response rate can lead to biased and non-representative findings.

Step by step solution

01

Understanding Response Rate

The response rate is the percentage of people who answered the survey out of the total number surveyed. A high response rate means that a large proportion of the sample population participated in the survey.
02

Importance of High Response Rate

A high response rate is desired because it increases the likelihood that the survey results are representative of the entire population. This means the findings will be more accurate and reliable.
03

Effect of Low Response Rate

A low response rate can lead to biased results. This occurs because the opinions of non-respondents might differ from those who did respond, thereby distorting the overall results.
04

Bias and Credibility

With a low response rate, the survey results might not reflect the true sentiments of the population. This reduces the credibility of the survey findings and can also impact the decisions made based on this data.

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Key Concepts

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

response rate importance
The response rate in a survey is crucially important. It helps in determining how many out of the total number of people surveyed actually participated. When the response rate is high, it means that a large proportion of the targeted population provided their feedback. This is beneficial because:
  • It ensures that the survey results are more representative of the entire population. No significant portion of the population's opinion is left out.
  • It increases the chances of the survey accurately reflecting the general sentiments and behaviors of the entire group being studied.
  • It boosts the reliability and credibility of the survey findings, making the results more trustworthy for decision-making and analysis.

In summary, the higher the response rate, the more the survey findings are likely to represent the views and realities of the overall population.
representative sample
A representative sample is a smaller subset of a larger population that accurately reflects the characteristics of the whole group. It's like a mini-version of the entire group you are interested in studying. Ensuring that your survey has a representative sample:
  • Makes the survey results more generalized and applicable to the entire population.
  • Ensures diversity and inclusiveness, capturing various demographics like age, gender, socioeconomic status, etc.
  • Prevents biases that arise from under-representing or over-representing certain segments of the population.

To achieve a representative sample, careful planning and execution in selecting participants is essential. This often involves random sampling methods to reduce potential biases and ensure the sample truly mirrors the broader population.
survey bias
Survey bias occurs when the results of a survey are distorted due to various factors. It can arise from:
  • Non-response bias: When certain individuals do not respond, their views are omitted, leading to skewed results.
  • Selection bias: When the sample is not representative of the population, certain opinions or behaviors may be over or under-represented.
  • Questionnaire bias: When the questions are leading or confusing, it can influence respondents' answers in a particular direction.

A low response rate can significantly contribute to survey bias. When fewer people participate, there's a higher chance that the views of non-respondents differ from those who answered, resulting in a less accurate depiction of the population's true opinions.
To minimize survey bias, it's important to:
  • Design clear and neutral questions.
  • Work to achieve a high response rate.
  • Carefully select a representative sample.
  • Encourage a diverse range of participants to ensure inclusivity and comprehensive results.

By addressing these aspects, surveys can provide more reliable and unbiased findings.

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Most popular questions from this chapter

Explain what is meant when we say "data vary." How does this variability affect the results of statistical analysis?

In Problems 11-22, identify the type of sampling used. The human resource department at a certain company wants to conduct a survey regarding worker morale. The department has an alphabetical list of all 4502 employees at the company and wants to conduct a systematic sample. (a) Determine \(k\) if the sample size is \(50 .\) (b) Determine the individuals who will be administered the survev. More than one answer is possible.

The survey has bias. (a) Determine the type of bias. (b) Suggest a remedy. Suppose you are conducting a survey regarding illicit drug use among teenagers in the Baltimore school district. You obtain a cluster sample of 12 schools within the district and sample all sophomore students in the randomly selected schools. The survey is administered by the teachers.

Is a television (TV) in the bedroom associated with obesity? Researchers questioned 379 twelve-year old adolescents and concluded that the body mass index (BMI) of the adolescents who had a TV in their bedroom was significantly higher than the BMI of those who did not have a TV in their bedroom. Source: Christelle Delmas, Carine Platat, Brigette Schweitzer, Aline Wagner, Mohamed Oujaa, and Chantal Simon. "Association Between Television in Bedroom and Adiposity Throughout Adolescence," Obesity, \(15: 2495-2503,2007\) (a) Why is this an observational study? What type of observational study is this? (b) What is the response variable in the study? What is the explanatory variable? (c) Can you think of any lurking variables that may affect the results of the study? (d) In the report, the researchers stated, "These results remain significant after adjustment for socioeconomic status." What does this mean? (e) Can we conclude that a television in the bedroom causes a higher body mass index? Explain.

A study conducted by researchers was designed "to determine if application of duct tape is as effective as cryotherapy (liquid nitrogen applied to the wart for 10 seconds every 2 to 3 weeks) in the treatment of common warts."The researchers randomly divided 51 patients into two groups. The 26 patients in group 1 had their warts treated by applying duct tape to the wart for 6.5 days and then removing the tape for 12 hours, at which point the cycle was repeated for a maximum of 2 months. The 25 patients in group 2 had their warts treated by cryotherapy for a maximum of six treatments. Once the treatments were complete, it was determined that \(85 \%\) of the patients in group 1 and \(60 \%\) of the patients in group 2 had complete resolution of their warts. The researchers concluded that duct tape is significantly more effective in treating warts than cryotherapy. (a) What is the research objective? (b) What is the population being studied? What is the sample? (c) What are the descriptive statistics? (d) What are the conclusions of the study?
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