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Unit-12: Sampling




                   (d)   It may also happen that in a unit such mixed attributes are present that it becomes difficult to   notes
                       decide in which category should it be kept. in such situation despite categories being made,
                       division of units is a problem.
                precautions—While selecting stratified samples, following things should be taken care of:
                   (i)   Sub-samples or categories that are created, their size should be sufficient so that from them
                       units may be chosen through a method of selecting random sample.
                   (ii)   General knowledge of researcher about the universe should be at least such that he should
                       know which attributes are there in the universe, based on which universe is divided in
                       categories or sub-samples.
                   (iii)   Categories must be created in such a way that there is homogeneity in all the units coming
                       under the category and they represent only one attribute of the universe.
                   (iv)   As far as possible, only as many units must be selected from each category in which ratio of
                       total units of the category are there in the universe.
                   (v)   Categories must be clear and definite so that all units of the universe come under some or
                       the other category and no unit falls in more than one category.
                   (vi)   Bases of creation of various categories should be the nature of study-subject. As is the problem
                       or subject, according to that only universe should be divided in various sub-samples.

                Other Types of Sampling

                other than the above-mentioned three main types of sampling, a few other types of samplings may
                also be mentioned here:
                4. Multistage Sampling—It is used in selection sample from very big study-fields. It is also called
                multistage sampling because in it process of sample selection passes through many stages. these
                stages are mentioned below:
                   (a)   In first stage, complete study-field or country or province is divided in homogenous areas.
                       As far as possible, these areas must be of equal area and there should be maximum similarity
                       in residents of each area.
                   (b)   in second stage from each area few villages or cities, that need to be studied, are selected on
                       the basis of method of selecting random samples.
                   (c)   in third stage from each village or city selected in second stage, few family groups are selected
                       on the basis of method of selecting random sample.
                   (d)   in the last stage, from the above selected family groups, few families are selected through
                       the method of selecting random sample.
                In this way it is clear that multistage sampling is a mixed form of stratified sampling and random
                sampling and if sufficient precautions are taken then in it, benefits of both the above methods can
                be obtained.
                5. Convenience Sampling—it is clear from the name of convenience sampling that in it researcher
                selects the sample as per his convenience. researcher, before selecting the sample, keeping in mind
                subjects like the availability of money, time, source list, capability to establish contact with the units
                etc., as is the facility as per that selects the sample. that is why it is also known as irregular, incidental,
                opportunist sampling. It is quiet unscientific because in it bias or false-inclination may enter to any
                extent. Still while studying very big fields, its support is only taken. When there is no complete
                knowledge about the universe, when units of sample are not clear and when complete source-list is
                not available then such kind of sampling becomes useful.






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