While doing any research on a large population, it is impossible to consider each and every person on the survey, and hence researchers prefer to choose a sample of the population and use them for their survey. This is necessary to reduce time, cost, and effort.
Having said that, it is also necessary for researchers that they should choose their samples in such a manner that it should have representation of every segment of the population otherwise your final conclusion after doing research will become meaningless.
OvationMR, which is a well-known online data research company is very careful when they select their samples while conducting any kind of market research. Therefore, if you are interested to do any survey then try to follow OvationMR on how to understand population sampling.
The ideal scenario would be to test every sample and make sure that they are reliable enough to consider as your data for research. Since it is almost impossible to test every individual data for their reliability, a certain sampling technique is necessary to follow.
How target population may differ from your population sample?
If we have a basic knowledge about the target population then we can develop a certain definition of the sample that you are going to choose. While selecting any sample data you can then check whether your sample meets the criteria of your definition. Select only those that meet the conditions as defined by you.
This is necessary because of the following 3 reasons:
- This will help you to set a clear direction on your scope and objective of doing your research and also select your data types
- This will define the character of your variables and can decide which sample is qualified to be considered for your research
- Also, this will help you to decide what size of the sample that you must select out of the total population.
Your target population will be the master blueprint for your sample. It is going to define your overall set of data on who is going to qualify for the present research that you are going to undertake.
Thereafter the researcher will identify what method of sampling that he is going to adopt for doing the survey and select his respondents or participants that can offer him the necessary user data where there will be a lesser chance of any kind of bias or wrong interpretation.
In an ideal case, if your study is quantitative, then the researcher will be able to make a proper observation and can draw a statistical inference from the collected data.
In case of any qualitative study, as a researcher, you may prefer to generalize your findings. For doing any qualitative data analysis, your input source is generally not collected from any probability sample method and also is not selected randomly.
Based on what method that you have selected you can choose your sample frame and build your sample size. Thereafter, executing your plan to reach each segment of people from your target population will be decided by your definition of the sampling frame.