Statistics and customer ratings

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SUMMARY

The discussion centers on the concept of selection bias in survey methodologies, particularly in the context of online customer ratings on platforms like Amazon.com. Participants who voluntarily complete surveys often have extreme experiences, leading to skewed ratings that do not accurately represent the broader customer base. The term "selection bias" is identified as the key concept affecting the reliability of survey results. To mitigate this issue, it is suggested that retailers report the number of participants who completed the survey versus those who did not.

PREREQUISITES
  • Understanding of survey methodologies
  • Familiarity with the concept of selection bias
  • Knowledge of statistical reporting practices
  • Awareness of customer feedback mechanisms in e-commerce
NEXT STEPS
  • Research methods to reduce selection bias in surveys
  • Explore statistical techniques for analyzing survey data
  • Learn about incentive structures for increasing survey participation
  • Investigate best practices for reporting survey results in e-commerce
USEFUL FOR

This discussion is beneficial for market researchers, data analysts, e-commerce professionals, and anyone involved in designing or interpreting customer feedback surveys.

find_the_fun
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When conducting a survey it is poor choice to only solicit the survey to people who feel like taking it. This is a bad idea because a person who goes out of their way to do a survey may be different than the rest of the population in some respect thus their answer is biased. I know this is elementary, but what is the name of this concept?

Anyways my point: online retailers such as Amazon.com must have non-representative customer ratings since only people who feel like it (probably because they had a really good or really bad experience) choose x amount of stars. Is there anyway around this aside from giving people incentives like money if they fill out a survey?
 
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Re: Statistics and customer raitings

find_the_fun said:
When conducting a survey it is poor choice to only solicit the survey to people who feel like taking it. This is a bad idea because a person who goes out of their way to do a survey may be different than the rest of the population in some respect thus their answer is biased. I know this is elementary, but what is the name of this concept?

It's called bias, or more specifically selection or selection bias.

Anyways my point: online retailers such as Amazon.com must have non-representative customer ratings since only people who feel like it (probably because they had a really good or really bad experience) choose x amount of stars. Is there anyway around this aside from giving people incentives like money if they fill out a survey?

I believe the important thing is to be aware of it, and preferably to include the number of participants that took the survey versus the ones that didn't in a report.
 

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