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Beware of online polls According to an online poll, \(46 \%\) of Americans support Apple Inc.'s decision to oppose a federal court order demanding that it unlock a smartphone used by one of the culprits responsible for the San Bernardino terrorist attacks. Mention a lurking variable that could bias the results of such an online survey, and explain how it could affect the results.

Short Answer

Expert verified
The technology savviness of respondents is a lurking variable that may skew results by reaching a more tech-savvy audience, which might support Apple more.

Step by step solution

01

Define Lurking Variable

A lurking variable is an external variable that was not considered in the study but can affect the outcome. In this case, an example of a lurking variable might be the technology savviness of the respondents.
02

Identify Lurking Variable

Identify that the technology savviness of respondents could influence their opinion on Apple's decision. People who are more familiar with technology may have different perspectives compared to those who use technology less frequently.
03

Explain Effect on Survey Results

Since the online poll reaches people through the internet, it might predominantly reach an audience more familiar with technology, possibly skewing results in favor of supporting Apple. This group may understand and appreciate cybersecurity and privacy concerns more than those who are less technologically inclined.

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Key Concepts

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

Online Poll Bias
Online polls are a popular way to gather public opinion, but they come with inherent biases that can affect the accuracy of the results. One major issue with online polls is the potential for bias in who chooses to participate. Online polls are often accessed through websites or social media platforms, which means that the respondents are primarily those who frequent these spaces.
This leads to a self-selection bias, where only those interested in the subject matter or those who have strong opinions are likely to participate. Moreover, the sample does not represent the entire population if certain demographics do not have the same internet access or are not as engaged online.
  • This bias can make poll results less reliable because it doesn't capture a truly random sample of opinions.
  • People who are more active online might disproportionately influence the outcome.
In addition, respondents might interpret questions based on their experiences with technology, further distorting the results.
Technology Savviness
Technology savviness is an important factor when considering responses to online polls, especially ones related to tech topics, like privacy and security. People who are more familiar with technology tend to have a deeper understanding of its implications, both positive and negative.
For instance, in polls involving cybersecurity or digital privacy, tech-savvy individuals may be more inclined to recognize the value of such measures and hence support organizations like Apple in their privacy efforts.
  • These individuals often have a heightened awareness of digital safety challenges and are typically more protective of privacy rights.
  • On the flip side, those who are less familiar might not appreciate these nuances and might have more polarizing or simplistic views.
This difference in understanding could cause a significant skew in responses if the poll predominantly reaches tech-savvy participants, thus failing to reflect the general populace's opinion.
Survey Methodology
Conducting accurate surveys involves a carefully designed methodology that ensures reliable and valid results. In the context of online polls, methodology pertains to how the survey is presented, distributed, and analyzed.
A critical aspect of survey methodology is the sampling process, which involves selecting who gets to participate in the poll to ensure that the sample is representative of the larger population. When polls are online, there is a tendency to miss certain demographic groups, such as the elderly or those without internet access.
  • Well-designed surveys use stratified sampling techniques to avoid such pitfalls, ensuring diverse and inclusive participation.
  • Ensuring questions are clearly worded and neutrally framed is essential to avoid leading respondents toward a particular answer.
These methodological considerations are critical in reducing potential biases and lurking variables that could affect the validity of an online poll's results. Without addressing these, the survey runs the risk of delivering skewed insights rather than a true reflection of the population's views.

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