Sampling methods in social research


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Sampling methods in social research - Unitedworld School of Business

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Sampling methods in social research

  1. 1.  Sampling is the process by which inference is made to the whole by examining a part. Purpose of sampling :  To provide various types of statistical information of a qualitative or quantitative nature about the whole by examining a few selected units.  It is cheaper than census method.  It is economical too.
  2. 2.  Probability sampling methods.  Non probability sampling methods.
  3. 3.  Simple random sampling.  Systematic sampling.  Stratified sampling.  Cluster sampling.
  4. 4.  It is a sampling technique in which the researcher divides the entire target population into different subgroups, or strata, and then randomly selects the final subjects proportionally from the different strata.  This type of sampling is used when the researcher wants to highlight specific subgroups within the population. Cluster Sampling :  In cluster sampling the total population is divided into a number of relatively small sub-divisions or groups which are themselves clusters and then some of these cluster are randomly selected for inclusion in the sample.
  5. 5.  The purest form of probability sampling.  Assures each element in the population has an equal chance of being included in the sample. Systematic Sampling :  A method of selecting sample members from a larger population according to a random starting point and a fixed, periodic interval. Typically, every "nth" member is selected from the total population for inclusion in the sample population.
  6. 6.  Convenience Sampling.  Judgment Sampling.  Snowball Sampling.  Quota Sampling.
  7. 7.  Convenience sampling is a non-probability sampling technique where samples are selected because of their convenient accessibility and proximity to the researcher.  It is fast, inexpensive, easy and the subjects are readily available. Judgement Sampling :  Judgmental sampling is a non-probability sampling technique where the researcher selects units to be sampled based on their knowledge and professional judgment.  This type of sampling technique is also known as purposive sampling and authoritative sampling.
  8. 8.  Snowball sampling is a non-probability sampling technique that is used by researchers to identify potential subjects in studies where subjects are hard to locate. Quota Sampling :  Quota sampling is a non-probability sampling technique wherein the assembled sample has the same proportions of individuals as the entire population with respect to known characteristics, traits or focused phenomenon.  As quota sampling is not random so sampling method is biased and lead to large sampling errors.
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