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Reduced or limited generalizability
Statistical: must have random sampling, allows you to generalize to the population from which you randomly selected. Practical: do the results hold for similar individuals? allows you to generalize to similar individuals
Quota sampling stratified sampling random sampling convenient sampling cluster sampling semi stratified sampling stratified quota
semi stratified sampling
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.
sampling is very important for researcher
cluster sampling
Yes.
Advantages and Limitation of Sampling: 1. Sampling saves time and labour. 2. It results in reduction of cost in terms of money and manhour. 3. Sampling ends up with greater accuracy of results. 4. It has greater scope. 5. It has greater adaptability. 6. If the population is too large, or hypothetical or destroyable sampling is the only method to be used. The limitations of sampling are given below: 1. Sampling is to be done by qualified and experienced persons. Otherwise, the information will be unbelievable. 2. Sample method may give the extreme values sometimes instead of the mixed values. 3. There is the possibility of sampling errors.
because it is the simplest sampling technique which requires less time and cost.
it implies the degree to which the strate choosen for research is apt
To avoid mistakes and correct