Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Correction: Polling India via regression and post-stratification of non-probability online samples

  • Roberto Cerina,
  • Raymond Duch
  • Article
  • Metrics
  • Comments
  • Media Coverage

The images for Figs 1 to 5 are incorrectly switched. The image that appears as Fig 1 should be Fig 4, the image that appears as Fig 2 should be Fig 5, the image that appears as Fig 3 should be Fig 1, the image that appears as Fig 4 should be Fig 3 and the image that appears as Fig 5 should be Fig 2. The figure captions appear in the correct order.

thumbnail
Fig 1. Summary plot assessing the degree of bias, when compared to the estimated stratification frame, across a number of marginal distributions, in each of the three samples used in the analysis.

The most severe discrepancies are highlighted. Each dot represents the % of an attribute, such as education level, caste or income, in the population as a whole and in the sample at hand. If the sample at hand is perfectly representative of the population of interest, the dots should lie on the y = x line.

https://doi.org/10.1371/journal.pone.0315139.g001

thumbnail
Fig 2. Predicted distribution of turnout at the national level.

https://doi.org/10.1371/journal.pone.0315139.g002

thumbnail
Fig 3. National vote share for the three major alliances over the course of the campaign; monitoring stops before the beginning of voting, and vote-share after this point.

https://doi.org/10.1371/journal.pone.0315139.g003

thumbnail
Fig 4.

Zone-level predictions v. observed zone-level 2019 behaviour for Turnout share (top-left), and Alliance vote-share (NDA top-right, UPA bottom-left, Other bottom-right).

https://doi.org/10.1371/journal.pone.0315139.g004

thumbnail
Fig 5. Seats projections at 5 weeks till the end of voting.

Pr(majority) indicates the probability that a given party obtains an outright majority—272 seats or more—in the Lok Sabha.

https://doi.org/10.1371/journal.pone.0315139.g005

Reference

  1. 1. Cerina R, Duch R (2021) Polling India via regression and post-stratification of non-probability online samples. PLOS ONE 16(11): e0260092. https://doi.org/10.1371/journal.pone.0260092 pmid:34843519