Stamping Out Survey Sinners
Summary
Luckily, there are a few tricks that can help to prevent false responses and weed out survey sinners from the data sample; and we put some of these to the test in our own survey… One method – which is likely to catch cheaters or bots – is to include two questions which contradictory answers could be provided for. Open questions are an easy place to spot poor quality respondents – writing a logical answer can just be too much effort for cheaters, bots, and the disengaged! We created a survey exploring attitudes towards climate change, with the different identification methods peppered throughout with the aim of testing whether these were effective in catching poor quality respondents. These can range from making your survey as clear and efficient as possible to keep respondents engaged, to restricting access to stop multiple attempts by bots: As technology improves there are also more rigorous checks you can undertake. All of these approaches will likely take a bit of tailoring to fit your specific project, and the decision for removing respondents can be subjective, but hopefully these tips will help you to make your survey data squeaky clean.
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