Example: Simple random samplingYou want to select a simple random sample of 100 employees of Company X. To conduct this type of sampling, you can use tools like random number generators or other techniques that are based entirely on chance. Your sampling frame should include the whole population. In a simple random sample, every member of the population has an equal chance of being selected. There are four main types of probability sample. If you want to produce results that are representative of the whole population, probability sampling techniques are the most valid choice. It is mainly used in quantitative research. Probability sampling means that every member of the population has a chance of being selected. There are different sample size calculators and formulas depending on what you want to achieve with statistical analysis. The number of individuals you should include in your sample depends on various factors, including the size and variability of the population and your research design. Your sampling frame is the company’s HR database which lists the names and contact details of every employee. Your population is all 1000 employees of the company. Example: Sampling frameYou are doing research on working conditions at Company X. Ideally, it should include the entire target population (and nobody who is not part of that population). The sampling frame is the actual list of individuals that the sample will be drawn from. If the population is very large, demographically mixed, and geographically dispersed, it might be difficult to gain access to a representative sample. It is important to carefully define your target population according to the purpose and practicalities of your project. It can be very broad or quite narrow: maybe you want to make inferences about the whole adult population of your country maybe your research focuses on customers of a certain company, patients with a specific health condition, or students in a single school. The population can be defined in terms of geographical location, age, income, and many other characteristics. The sample is the specific group of individuals that you will collect data from.The population is the entire group that you want to draw conclusions about.First, you need to understand the difference between a population and a sample, and identify the target population of your research.
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