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Whether or not to continue a Mardi Gras Parade through downtown San Luis Obispo, California, is a hotly debated topic. The parade is popular with students and many residents, but some celebrations have led to complaints and a call to eliminate the parade. The local newspaper conducted both an online survey and a telephone survey of its readers and was surprised by the results. The online survey received more than 400 responses, with more than \(60 \%\) favoring continuing the parade, while the telephone response line received more than 120 calls, with more than \(90 \%\) favoring banning the parade (San Luis Obispo Tribune, March 3,2004 ). What factors may have contributed to these very different results?

Short Answer

Expert verified
Several factors may have contributed to the different results in the online and telephone surveys regarding the continuation of the Mardi Gras Parade in San Luis Obispo. These factors include potential biases in survey methods, differences in respondent characteristics such as age and socio-economic background, external factors influencing public opinion, and the possibility of sampling errors. Analyzing these factors can help to understand the discrepancies in the results and improve future surveys.

Step by step solution

01

Identify potential biases in survey methods

Each survey method, whether online or telephone, may have some level of bias in its results. Biases can occur due to sample selection, response options, question phrasing, or other elements of survey design. In this step, consider the potential biases in both online and telephone surveys and how these may have impacted the results.
02

Consider the characteristics of the respondents

The choice of survey method can also affect the demographics and characteristics of the respondents. Some groups of people may prefer to answer online, while others may prefer telephone surveys, for example, due to age, socio-economic background, or technological preferences. When comparing the results of these two surveys, it's important to take into account the respondent pool of both surveys and how those differences might contribute to the different results.
03

Examine the external factors influencing the results

Aside from the survey methods and respondents, there may be external factors that could have influenced the results of the surveys. For example, the surveys could have been conducted in different time periods or under varying circumstances, or influenced by significant events, leading to shifts in public opinion. Analyze any external factors that could have played a role in the different results obtained from the online and telephone surveys.
04

Explore the possibility of sampling errors

It is essential to acknowledge that surveys can be subject to sampling errors. Even if a survey is perfectly designed and conducted, there might still be a discrepancy between the survey's results and the population's actual preferences due to the randomness inherent in sampling. The possibility of sampling errors in both the online and telephone surveys should be taken into account when analyzing the factors contributing to the differences in the results. To sum up, factors influencing the different results in the online and telephone survey might include potential biases, differences in respondent characteristics, external factors, and sampling errors. A thorough examination of these factors can help in understanding the discrepancies in the results and ensuring better survey design in the future.

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Key Concepts

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

Bias in Surveys
Bias in surveys occurs when certain survey elements lead to partial or skewed results. This can happen due to various reasons.
One common source of bias is the survey method itself. For instance, online surveys may attract younger, more tech-savvy respondents, while older individuals might prefer telephone surveys.
Another factor leading to bias could be the question design. Leading questions or those with limited response options can sway answers.
Bias can also stem from how a sample is selected. If the sample isn't representative of the wider population, the results could be biased. To minimize bias, it's crucial to design surveys carefully, taking into account the target audience, questions, and method of dissemination.
Sampling Errors
Sampling errors occur when the sample doesn't perfectly represent the population, leading to discrepancies in results.
This doesn't mean there's a flaw in the survey. Even well-designed surveys can have sampling errors because of the variability in selecting a representative sample.
For example, in an online survey, you might randomly select 400 people from a city of 20,000. However, it’s possible that this sample might not reflect the views of the entire population due to the randomness inherent in sampling.
  • The larger your sample size, the lower the sampling error.
  • Using random sampling techniques can help in reducing sampling errors.
Thus, recognizing and understanding sampling errors is key to interpreting survey results accurately.
Respondent Characteristics
Respondent characteristics are crucial in understanding survey outcomes. Different demographics respond differently to surveys based on their characteristics.
Variables such as age, gender, socioeconomic status, and technological aptitude play a significant role.
For example:
  • Younger people might prefer online surveys due to their comfort with technology, while older individuals may feel more comfortable responding via telephone.
  • People in higher economic strata might have more access to online resources, influencing their likelihood to participate in online surveys.
Different characteristics can heavily influence preferences and opinions, thus affecting survey results.
External Factors in Surveys
External factors are those influences that lie outside the immediate survey process but can still affect outcomes significantly.
These include factors such as timing, significant events, or media influence.
For instance, if a survey is conducted during a cultural event related to the survey topic, results might be skewed towards opinions supporting that event.
  • Timing: Surveys conducted near the date of the event may capture heightened emotion or interest.
  • Media: Media coverage can influence public opinion, impacting how respondents answer.
To mitigate these influences, surveys must aim to collect responses across different times and circumstances, as this can help balance out skewed influence from exceptional external factors.

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