METHODS OF SAMPLING IN SOCIAL SCIENCE RESEARCH

            METHODS OF SAMPLING IN SOCIAL SCIENCE RESEARCH

Overview: - Researchers cannot examine and analyze each and every sections prevailing in a group. They cannot take into consideration regarding the nature and behavior of every individual in a group or each and every section in an organization.

Hence for convenience they consider units of these categories on which they have to conduct researches. These units are generally termed as samples in the field of research and higher studies. Thus by utilizing samples for research purposes they consider the qualities and peculiarities of a division on which they have to conduct more studies and thereby make conclusions about the entire organization or population.

Advantages of sample representation: - Usually the sample represents the qualities and peculiarities of divisions as a whole. Hence the conclusions making on these samples are suitable for the whole units. In this way the researchers can put forward research papers with respect to the whole organization or population. Considering samples for research works provide too much convenience for the respective participants. For studying the nature and peculiarities of the entire group they need go through a small unit of the entire group and perform the qualitative analysis. This process is very much similar to the democracy existing nowadays. The whole population in a country cannot take part in the constitutional process. Hence they choose representatives to participate in the ruling programs. The representatives enquire problems of the people who have chosen them and produce the same in front the governing body of the country. Here the representative is the sample among the group of people who have elected him.

Types of samples in social science research: - Generally two types of samples are used in social science research. They are probability samples and convenience samples. In probability samples all fundamentals in a group are considered for representation. If such elements are represented on the basis of their availability, then they are termed as improbability samples. They may be the unknown units of the respective groups and hence there are chances not to consider them as samples. Thus the researchers prefer to consider samples which have got major representation among the entire group. These improbability samples are well known as convenience samples. The probability sampling is not always supported by the researchers. They may prefer to concentrate on one peculiarity prevailing in a group and tries to point out it as an important difference. For example the belief that all lesbians are suffering from psychopathology can be objected by exampling one perfect lesbian who is free from that mental disorder. Certain cases the researcher may be very much keen on the description of a particular group of people. In such a situation, there won't be any need of probability samples as far as the research works are concerned.

Conclusion: - The application of samples is really a boon to researchers. The samples assure too much convenience to researchers. They can consider elements which are abundant in a particular group. They can surely make these elements as representatives of that concerned group. By knowing the qualitative features of the samples considering the features of the entire group can be evaluated. In this way the process of researching can be made easier by the respective researchers.