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
- Choices, choices: Radio campaign to reduce rural child mortality or public transport infrastructure for Ouagadougou
- Stata tip: Doing something conditional on existence of a variable in the dataset, using a local
- Livres photos pour les bibliothèques, de International School of Ouagadougou (ISO)
- My Dad sends me to a Nigerian comedy web site… pretty good!
- Honey bees are essential for pollination karité trees in Burkina Faso
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