The components of the Attest Sample Size Calculator
There is an art and a science to sample size calculation. The “art” is the context of your target audience and the type of research you’re running. And the “science” is the statistical calculation based on the level of robustness and accuracy you’re seeking from your sample. That’s why our calculator looks at survey type, population size, margin of error and confidence level.
Some survey types, like brand tracking, require large samples to reduce the natural flux in data over time. Whereas concept and creative testing, whether it’s monadic or sequential monadic, are specific enough that smaller sample sizes often help you achieve your goal of deciding which creative concept to launch.
If you’re looking for a representative sample of a target population, it’s important to know what the total size of that population is. We’ve pre-programmed the populations of popular survey countries, but you can also select a custom audience to calculate your sample from. For example, if you know your target is 30 year old women who do yoga, so long as you know the size of that customer population, feel free to enter your own custom population size
Margin of Error
This is the level of potential variance you’re willing to tolerate in your results. The percentages here indicate the maximum amount you’re happy for your results to differ from the actual population by. Lower margins of error require higher sample sizes.
This is the percentage of confidence you can have that the results you are seeing are how the entire population would respond. We’ve preprogrammed standard confidence intervals used in market research, which is 95%. The higher the confidence level you choose, the more sure you can be that the data is representative of the population.