Question

How.does sampling contribute to reliable and valid research

Answer 1

Sampling is crucial for reliable and valid research. It reduces sampling variability and enhances the validity of research by ensuring the sample represents the population of interest.

Step-by-step explanation:

Sampling is an important aspect of reliable and valid research. It involves selecting a smaller group of individuals, known as a sample, from a larger population to study and make inferences about the larger population. By using a well-chosen and representative sample, researchers can draw conclusions that are likely to be accurate and applicable to the population as a whole.

Sampling contributes to the reliability of research by reducing sampling variability. This refers to the degree to which statistics, such as averages or proportions, vary from sample to sample. Larger samples tend to have less variability and produce more reliable estimates of population parameters.

Furthermore, sampling enhances the validity of research by ensuring that the sample represents the population of interest. A well-designed and properly selected sample increases the likelihood that the findings can be generalized to the larger population. Without proper sampling, research may suffer from selection bias, which can undermine the validity of the results.

Answer 2

Different sampling methods are usually used depending on the type of survey that is to be carried out, and each of these methods has its own unique advantages that contribute to a reliable and valid research. Examples include: 1. Random sampling. Each individual is chosen entirely by chance and so the likelihood of bias is reduced. 2. Cluster sampling. The entire population is divided into groups or clusters and a random sample of these clusters is selected. All observations in the selected cluster largely represent the rest of the population and this yields a fairly accurate and valid analysis. 3. Quota sampling. When a probability sample cannot be obtained,this method of sampling helps create an accurate sample of the population thereby producing credible results.