Stepping back from the immediate question of whether the CCES in fact shows a low rate of voting among non-citizens, our analysis carries a much broader lesson and caution about the analysis of big databases to study low frequency characteristics and behaviors. Very low levels of measurement error are easily tolerated in samples of 1,000 to 2,000 persons. But in very large sample surveys, classification errors in a high-frequency category can readily contaminate a low-frequency category, such as non-citizens. As a result, researchers may draw incorrect inferences concerning the behavior of relatively rare individuals in a population when there is even a very low level of misclassification.
Blogs I Follow
- Recent stories in The New Yorker
- Aldous Harding covers “Right Down The Line” by Gerry Rafferty
- Budget transparency at private universities: Some thoughts about SCU
- Why does SCU want to take the faculty unionization straight to the NLRB? Because they could reverse every unionization on every Jesuit and other “religious” university
- Tactics when confronting a Trump-appointee dominated NLRB: “three would-be unions withdraw petitions”
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