Petit Poll

Petit Poll Petit Poll combines data from small surveys with statistical methods to generate meaningful results. Collating these large samples is costly and time-consuming.

We are able to gain an understanding of opinion on a regular basis because smaller surveys have lower costs. A traditional poll needs a large sample because it attempts to replicate a population. Petit Poll overcomes this challenge by using small, non-representative samples combined with demographic and other data. We then use statistical models to 'scale up' the samples to provide representative

results for the population. Petit Poll augments traditional polls, such as Roy Morgan, Newspoll, Galaxy, etc, with frequent micro-sampling to produce rapid feedback at critical moments. Petit Poll's statistical approach is developed in Wang, Rothschild, Goel and Gelman (2014). Our specific implementation of the model (written in R using JAGS) will be made available soon.

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Canberra, ACT

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