Question
Describe the methods of sampling in Social Research.
Answer :
Word Count : 1108
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Skip in 10
Sampling is a fundamental process in social research through which a researcher selects a part of the population for detailed study in order to draw conclusions about the whole. In rural development research, where populations are often large, scattered, and diverse, it is neither practical nor economical to study every individual. Therefore, sampling becomes essential for collecting reliable, representative, and manageable data. A well-designed sampling method helps in reducing cost, saving time, and improving the accuracy of research findings. The methods of sampling in social research are broadly classified into probability sampling and non-probability sampling, each having several techniques suited to different research situations. Probability sampling is a method in which every unit of the population has a known and equal or unequal chance of being selected. This method is based on the principle of randomness and ensures greater objectivity and representativeness. One of the most common types of probability sampling is simple random sampling. In this method, each member of the population has an equal chance of selection, and the selection is made through random procedures such as lottery methods, random number tables, or computer-generated numbers. This method is easy to understand and free from personal bias, but it is difficult to apply in large rural populations where a complete list of individuals may not be available. Another important method is systematic sampling. In this technique, the researcher selects every nth unit from a list after choosing a random starting point. For example, if every tenth household is selected from a village register, the process becomes systematic. This method is simple and economical and ensures a fairly even distribution of the sample. However, if the list has a particular pattern, it may affect the representativeness of the sample. Stratified sampling is widely used in social research, especially when the population is heterogeneous. In this method, the population is divided into different subgroups or strata based on characteristics such as age, gender, income, caste, education, or occupation. Then, samples are drawn from
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