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Unit 4: Sampling Design




              Random sampling can be chosen by Lottery method or using random number table.    Notes
              Samples can be chosen either with equal probability or varying probability.
              Random sampling can be systematic or stratified.
              In systematic random sampling, only the first number is randomly  selected. Then by
               adding a constant "K" remaining numbers are generated.
              In stratified sampling, random samples are drawn from several strata, which has more or
               less same characteristics.
              In multistage sampling, sampling is drawn in several stages.

          4.9 Keywords

          Census: It refers to complete inclusion of all elements in the population. A sample is a sub-group
          of the population.
          Deliberate Sampling: The investigator uses his discretion in selecting sample observations from
          the universe. As a result, there is an element of bias in the selection.
          Multistage Sampling: The name implies that sampling is done in several stages
          Quota Sampling: Quota sampling is quite frequently used in marketing research. It involves the
          fixation of certain quotas, which are to be fulfilled by the interviewers.
          Random Sampling: Simple random sample is a process in which every item of the population
          has an equal probability of being chosen.

          Sample Frame: Sampling frame is the list of elements from which the sample is actually drawn.
          Stratified Random Sampling: A probability sampling procedure in which simple random sub-
          samples are drawn from within different strata, that are, more or less equal on some characteristics.

          4.10 Review Questions


          1.   What do you analyse as the advantages and disadvantages of probability sampling?
          2.   Which method of sampling would you use in studies, where the level of accuracy can vary
               from the prescribed norms and why?

          3.   Shopping Mall Intercept Sampling is not considered a scientific approach. Why?
          4.   Quota sampling does not require prior knowledge about the cell to which each population
               unit  belongs.  Does  this attribute serve as an  advantage or  disadvantage for  Quota
               Sampling?
          5.   What suggestions would you give to reduce non sampling error?
          6.   One mobile phone user is asked to recruit another mobile phone user. What sampling
               method is this known as and why?
          7.   Sampling is a part of the population. True/False? Why/why not?
          8.   Determine the sample size if the standard deviation of population is 20 and the standard
               error is 4.1.
          9.   What  do  see as  the reason  behind purposive  sampling  being  known  as  judgement
               sampling?






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