Tag: simple random sampling
How to Choose a 5% or 10% Margin of Error in Slovin’s Formula | Calculating the Minimum Sample Size
In calculating the minimum sample size using Slovin’s formula, researchers can choose a 5% or 10% margin of error. What’s the difference, and how do you choose the right one? In survey research, when observing a population, we are often faced with the challenge of a large population size that needs to be observed.
The Difference Between Simple Random Sampling and Stratified Random Sampling in Survey Research
Sampling techniques are crucial skills for researchers to master. In research, samples can be drawn from a population, but the selected samples must accurately represent the observed population. Therefore, proper sampling techniques must be applied per scientific principles.
How to Generate a Random Sample using Excel
The sampling technique of simple random sampling is a sampling method that provides equal opportunities for each member of the population to be selected as a sample. This sampling technique randomly selects the sample from the existing population. To be able to use the simple random sampling technique, researchers need to ensure that there are at least two assumptions that must be met.