5 Tips to Choose an Online Survey Sample Size

Choose the Best Sample Size with These 5 Great Tips

When planning your online survey you will want to consider these five tips for selecting your sample size. Reviewing these five important questions will guide you in determining the right sample method for your online survey.

1.)   Diversity of Target Population.  Is your group of respondents in your online survey diverse or similar? The larger the diversity, the larger the sample size should be.

2.)   Degree of Precision. How precise do you need your online survey to be? If you are interested in percentage figures for your target population, do you want estimates based on the respondent sample to be within 2% or within 5% of the true respondent population figures? The higher the precision requirement, the larger the sample size needs to be. Continue reading

Send Online Surveys to Targeted Survey Respondents

Snap Panel Samples let you send online surveys to a broad group of people or a targeted audience. You can specify the demographics or behavioral characteristics that you want for your online survey, and buy it directly from Snap Surveys via Snap WebHost, Snap’s online survey management and analysis platform.

Snap Panel Samples draw from the resources of our partner Cint, a global company, providing panels of respondents for survey completion. You can buy access to a panel of respondents supplied by Cint for any survey built for Snap WebHost. You do not need to set-up a database link or set up paradata for the panel.

You can select participants for your online survey in three ways. Continue reading

What is a Good Response Rate for a Random Survey Sample?

Often times Snap Research Services, Snap Survey’s survey research team, is asked the question: How many responses do I need to collect from a random sample of respondents in order to receive accurate results?

You ask, we respond! When surveying a random sample of respondents, there are two key measures – Confidence Level and Margin of Error. Each of these key measures works together. For example, if you have a 95% confidence level and a 5% margin of error, and a question answered by 50% of your sample, then 19 out of 20 times, the true answer – the answer you would find if every single person in the target population answered this question – can be assumed to be in the range of 45% to 55%.

The following table explains the number of survey responses you need, depending on the number of people in your target population.  Continue reading