Je ne peux m’empêcher de partager cet article, sans en dire plus :
The Literary Digest poll of 1936, which incorrectly predicted that Landon would defeat Roosevelt in the 1936 US presidential election, has long been held up as an example of how not to sample. The sampling frame was constructed from telephone directories and automobile registration lists, and the survey had a 24% response rate. But if information collected by the poll about votes cast in 1932 had been used to weight the results, the poll would have predicted a majority of electoral votes for Roosevelt in 1936, and thus would have correctly predicted the winner of the election. We explore alternative weighting methods for the 1936 poll and the models that support them. While weighting would have resulted in Roosevelt being projected as the winner, the bias in the estimates is still very large. We discuss implications of these results for today’s low-response-rate surveys and how the accuracy of the modeling might be reflected better than current practice.
Si le sujet de la pondération des données d’enquêtes vous intéresse, je ne peux que recommander cet autre article :
Et si vous voulez lire plus de choses sur les sondages, allez voir chez Arthur Charpentier.