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Note that the question was basically "which of the following influenced your decision to turn down a job offer", not "what was the primary reason you turned dow
by ntrz 5y ago
Note that the question was basically "which of the following influenced your decision to turn down a job offer", not "what was the primary reason you turned down a job offer."
Respondents could select more than one reason; it could be that many of these people had a more important reason for turning down the job like "child care obligations" or "the job didn't offer enough hours of work", but also selected "I receive enough money from unemployment" because that was one of the secondary factors they considered.
They also only polled 463 people and are extrapolating the 1.8 million number based on the fact that 13% (~60 people) included "unemployment insurance" as one of the factors that influenced their decision.
- dbt00 5y agoYeah, when you realize it allowed multiple selections, only 13% saying I'm ok with current UI benefits seems low.
- deleted 5y ago[deleted]
- itsdrewmiller 5y agoDon’t forget the lizardman’s constant either - likely a decent fraction of that was mistakes / trolling. https://slatestarcodex.com/2013/04/12/noisy-poll-results-and-reptilian-muslim-climatologists-from-mars/ https://slatestarcodex.com/2013/04/12/noisy-poll-results-and...
- jjeaff 5y agoYa, i have started looking at detailed polling results and often find things like a recent Reuters/Ipsos poll where 6% of those surveyed said they had never heard of Donald Trump.
- FalconSensei 5y ago> "the job didn't offer enough hours of work" I guess that plays a HUGE role. Like, if you will be working only part-time, with a low wage, no benefits, earning the same (or less) than the unemployment benefit doesn't seem enticing.
- staticautomatic 5y agoYou only need a sample of 385 people in order to be representative of the entire US population at a 95% confidence level and 5% margin of error…
- codyswann 5y agoDepends on how you get the sample.
- tzs 5y ago> They also only polled 463 people and are extrapolating the 1.8 million number based on the fact that 13% (~60 people) included "unemployment insurance" as one of the factors that influenced their decision. 463 people drawn from population of 14 million, assuming unbiased sampling, with a 13%/87% split on their answers to a yes/no question would have a confidence interval of about 3 at 95% confidence, so it is reasonable to conclude that the correct percentage is probably in the 10-16% range, or 1.4 million to 2.2 million. At 99% confidence, the confidence interval would be about 4, giving 1.26 to 2.38 million.