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Voting polls are research tools to understand opinions and decisions made by the public in the case of events such as elections. These polls are conducted with a randomly selected sample within the target population that would be influential in generalizing the opinion received to the entire population.
Voting polls gained popularity in 1824 where straw polls were conducted for the United States Presidency and ever since then these type of polls became extremely sought-after. They have evolved from face-to-face mediums to the medium of telecommunications and now to the medium of internet. Opinions and feedbacks that are usually ignored gain attention when collected using voting polls.
These polls consist of a single, multiple-choice question that would ask the respondents about the candidates or their candidature. Gain insights from the public about their voting views to draw a conclusion about attributes of a specific population. A list of questions can be asked to the public, the answers of which are analyzed for either the entire target population or a sample randomly selected from this population.
Traditionally conducted verbally or using ballot boxes and also electronic clipboards in the recent past, voting polls have slowly evolved to the latest online mediums. Statistical methods are being invented to implement voting polls via online mediums such as social media or blogging websites.
There are three main voting poll methods:
Irrespective of whether the campaign is political or not, benchmark voting polls serve multiple purposes.
There are several factors for using Brushfire voting polls:
There are four main types of errors in voting polls which have been developed over course of time which need to be solved to have almost flawless results from the polls.
Voting polls are usually sent out to a sample from a population and it is highly probable that the results obtained from this sample may be skewed. Margin of error is the difference between a sample and the entire population. Opinions of a sample may be slightly different than what the population would say.
Margin of error is reduced by calculating the poll response averages or conducting a poll with a larger voting population of around 500-1000 members.
There are instances where the respondents ignore the poll via multiple mediums, such as face-to-face or online. In the recent times, this rate of response has been reduced to 10%. It is not possible to get results from this 10% of the population which will represent the entire population and the results achieved will be highly biased.
A lot of respondents tend to answer a poll uninterestedly and this can cause response bias. Respondents answering voting polls conducted to understand sensitive factors such as ethnicity or race will mostly not submit their true thoughts and opinions.
The voting poll question formation, the intent behind asking a particular question and the order of asking those is very important. If a candidate is shown more love and support if he/she is projected to be a “good leader”. This can lead to respondents favoring those candidates who truly are not capable to perform according to the expectations. Error due to the usage of specific words can be minimized by rotating the questions among the same population or creating different sets of questions and dividing them within the entire population.
The chronological order of the following questions can define the success of a voting poll and the impact of the answers too.
With poll softwares such as QuestionPro, an electoral candidate can create polls in minutes. Here is a step by step guide on creating a poll with this software.