A pollster for the Public Policy Institute of California explains how the Institute selects a sample of California adults (“It’s About Quality, Not Quantity,” San Luis Obispo Tribune, January 21, 2000): That is done by using computer generated random residential telephone numbers with all California prefixes, and when there are no answers, calling back repeatedly to the original numbers selected to avoid a bias against hard-to-reach people. Once a call is completed, a second random selection is made by asking for the adult in the household who had the most recent birthday. It is as important to randomize who you speak to in the household as it is to randomize the household you select. If you didn’t, you’d primarily get women and older people. Comment on this approach to selecting a samp

ye1neh4

ye1neh4

Answered question

2022-09-23

As the randomly selected telephone numbers are called repeatedly till answer is received, the chance of selection bias is reduced.
However, due to telephone survey, the section of the population without telephones cannot be reached, introducing selection bias from a different angle.
Moreover, if the survey is carried out within a short time of the year and not over the whole year, it might over-represent the opinions of individuals born at a certain time of the year, while under-representing those born at other times. This again leads to selection bias.
It is also known that people may not always respond truthfully, thus leading to nonresponse bias

Answer & Explanation

Edward Chase

Edward Chase

Beginner2022-09-24Added 10 answers

A pollster for the Public Policy Institute of California explains how the Institute selects a sample of California adults (“It’s About Quality, Not Quantity,” San Luis Obispo Tribune, January 21, 2000):
That is done by using computer generated random residential telephone numbers with all California prefixes, and when there are no answers, calling back repeatedly to the original numbers selected to avoid a bias against hard-to-reach people. Once a call is completed, a second random selection is made by asking for the adult in the household who had the most recent birthday. It is as important to randomize who you speak to in the household as it is to randomize the household you select. If you didn’t, you’d primarily get women and older people.
Comment on this approach to selecting a sample. How does the sampling procedure attempt to minimize certain types of bias? Are there sources of bias that may still be a concern?

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