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How To Calculate Population Survey Sample like A Technology Expert

How To Calculate Population Survey Sample like A Technology Expert
The Siliconreview
01 September, 2021

The goal of any technology expert is to design a survey population estimation tool to complement their survey offerings. Such a tool can decide how big or small the population sample is. A scientifically valid survey is one whose population represents the whole population, and the goal of every research company is to get scientifically accurate results. Developing such a tool remains an arduous or near-impossible task for the untrained, but why toil when the experts have done the heavy lifting for you?

DIY survey offerings may save you some cash but have you questioned the effect on your business if the validity of the data is questionable?

What is A Survey population Estimation Tool?

A survey population estimation tool is software designed to calculate how big or small an interview panel should be so that the results are as precise and representative of the general population as scientifically possible.

How to Use Population Estimation Tools like An Expert

There are a few terms you should learn for effective use of the software.

  1.   Confidence level and Confidence interval

The confidence level is the faith you attach to samples; you will likely get the exact figures should you repeat the exercise. The level is expressed as a percentage. 0% means you have zero faith that the results will be the same, while a 99.9% says that you are 99.9% certain the statistics results will reoccur.

Confidence Interval is a set range within which the values of a specific probability value fall. Another name for the confidence interval is the margin of error. The error is calculated as a plus or minus figure in the opinion poll results, especially those conducted by the media. The error interval gives the divergence from the proper proportion acceptable by the researcher for the population statistics. An example of the confidence interval can be 5 and 45% of your sample. Loosely translated, it means had you asked the population a question, between 40% and 50% would have chosen the correct answer.

Put together, and it'll be correct to say 95% (most used confidence level) of the actual percentage of the total population ranges between 40 and 50%—the wider the confidence interval, the more confidence that the general population responses are within your range.

Confidence interval is subject to the following three factors:

  •   population size
  •   Sample size
  •   percentage

Factors that Affect Confidence Intervals

Three factors determine the size of the confidence interval for a given confidence level:

  •   Sample size
  •   Percentage
  •   Population size

How to calculate Population for Survey Sample like A Technology Expert

  1. Choose the corresponding confidence level and the alpha level. The alpha level is the probability that the null hypothesis won't hold water. If the confidence level is 95%, the corresponding value is 0.05%.
  2. Set your confidence interval
  3. Establish the standard deviation. If lacking information from past research, you had better set it at 0.5

Too much work, right? That is why technology experts often seek survey population estimation tools to complement their DIY Survey Offerings. When using survey population estimation tools, consider the following tips:

  1. Estimation tools are subject to over- or under-representation of data. In such a case, override the tools' sample. Alternatively, you can apply data weighting methods.
  2. Calculate an individual cell's estimate of the stratified or cluster sample since classifying the sample population of the whole bunch changes the population size significantly.
  3. For situations where random sampling isn't applicable, consider quota sampling, which gives you room to approximate the sample for the different small groups which are underrepresented. Quota sampling applies when:
  •   Sampling members association groups
  •   Analyzing responses from website offerings or a customer list
  •   Sampling a targeted audience who have been earlier on interviewed having interacted with a business' products

Technology Experts often seek survey population estimation tools to complement their DIY Survey Offerings; however, if you desire a direct, precise response from a large population, DIY may not be your thing.

Conclusion

There's an increased need for survey population estimation tools to complement experts' DIY offerings. Start by understanding the different terms used in the calculation of a population sample. What happens, for example, when dealing with stratified and clustered sampling?

When dealing with subgroups and quotas, for example, remember to override the values given by the tool since the population is too small and the use of the same means interference with the validity of the data.