The document discusses various sampling techniques used in survey research. It defines population, sample, census, and sampling. Probability and non-probability sampling methods are described. Probability methods ensure each unit has a known chance of selection and include simple random sampling, systematic sampling, stratified sampling, cluster sampling, area sampling, and multistage sampling. Non-probability methods rely on availability or human judgment and include accidental, convenience, judgment, purposive, and quota sampling. Advantages and limitations of different techniques are also provided.

3. Population is defined as The Entire Group under study. Sometimes it is also called as the “ Universe .” Population

11. DR G K KALKOTI Simple Random Sampling Accidental Sampling Systematic Sampling Convenience Sampling Stratified Sampling Judgment Sampling Cluster Sampling Purposive Sampling Area Sampling Quota Sampling Multistage and Multiphase Sampling PROBABILITY METHOD NON PROBABILITY METHOD METHODS OF SAMPLING

23. 3)From the 20 sampled colleges, prepare a list of all students. From these lists select the required number of say 1000 students on random basis] In this example the researcher gets a sample 1000 students from 20 colleges only otherwise if researcher decides to select 1000 students on random basis, then he would have to select them out of 200 colleges which would have been expensive and time consuming DR G K KALKOTI

26. Multiphase sampling is slightly different from multi-stage sampling. With multi-phase sampling, the sampling unit at each phase is the same, but some of them are interviewed in detail or asked more questions than others ask. In other words, all the members of the sample provide basic information and some of them provide more and detailed information. DR G K KALKOTI

34. DR G K KALKOTI Thank You