Research Discussions

What is sampling in data analysis?

Research is one of the most essential and crucial steps for development in any field. Be it education, medicine, engineering, natural sciences or art; each and every industry needs research to grow and create better and improved products and services. However, in order to conduct a research that will benefit the researcher, one must consider the target audience of the research. The data collected during research is usually very large and hence it becomes difficult to reach to impressive conclusions. Therefore, sampling is a method that allows the researcher to choose a limited number of people who represent the entire population so that conclusions can be derived.

Sampling Size:

The results of your research are largely dependent on your sampling. Sample size is one of the most important decisions while conducting your research. In order to have the least number of errors and get closest to accuracy, a large sample size is always preferred. However, due to practical issues, you may have to select a medium or small sample size. But, always remember, the right sample size is one which is easy to handle and reduces the chances of error.

Probability and Non-Probability

The two kinds of basicsampling are probability and non-probability. In the first case, each member of the population has an equal chance of being selected for the research while the latter is completely opposite.

Sampling techniques

Sampling techniques are further divided into sub-categories. Once the researcher decides whether he is using probability or non-probability methods for sampling, there are further ways to derive a good sample. These include: simple random samples, cluster samples, systematic samples, convenience samples, matched random samples, etc.

Purpose of sampling

Before you get on to sampling, you must clearly define your research purpose and only then begin the sampling. Sampling methods and techniques differ for every research. Based on the kind of your research, you can accordingly decide which method to use.

Types of sample surveys

Usually, there are two basic kinds of sample surveys: open-ended and close-ended. The open ended survey involves interviews for data collection while the close-ended survey uses questionnaire. Both the methods are effective and can be used based on the requirement of the study. You can also conduct a mix of both if you have different sets of samples.

Sampling is like the foundation of your data analysis. If your sampling goes wrong, there are high chances of major errors in your analysis and conclusions. Therefore, pay careful attention to sampling methods and clearly define your research problem and goal so that you can select the methods that suit your study the best.