Basic Sampling Procedures (L1.3)

PROBABILITY AND NON-PROBABILITY SAMPLING

two basic sampling procedures

Simple random sampling, Stratified  Proportionate Sampling, Cluster Sampling.

Techniques  of random sampling:

Lottery or fish bowl technique, Use of the Table of Random Numbers, Systematic sampling,

How is simple random sampling done? It is done using the following: (METHODS)

Convenience Sampling, Quota Sampling, Purposive Sampling

Kinds of nonprobability  sampling:

Purposive Sampling

done by simply picking out the persons whom you think are representatives of the population to which you want to make an inference for purposes of your study.

Quota Sampling

refers to the practice of assigning quotas or proportions or areas to the interviewer or research assistants. This is often used in public opinion surveys where the number is too big to be handled.

Convenience Sampling

done by simply the persons of subjects that are needed from those who are at hand.

judgmental sampling

purposive sampling is sometimes called

Cluster Sampling

A successive random sampling of units, from large groupings to smaller units.

Stratified  Proportionate Sampling

When the population is composed  of several strata or subgroups in the population, it is wiser to employ this type of random sampling to ensure proportionate representation of each subgroup in the sample.

Systematic sampling

a technique for selecting a sample by picking out every kth of the population. To apply this, first divide the population size by the desired sample size.

Use of the Table of Random Numbers

The Table contains rows and columns of digits randomly ordered by a computer

Lottery or fish bowl technique

done by simply writing the names of each member of the population in small rolled paper which are placed in a container.

Simple random sampling

The mechanics  of drawing a sample to satisfy the definition of random sampling.

Non-probability Sampling

Sampling in which there is no random selection of cases from the population.

Random/Probability Sampling

It is a method of selecting a sample size (n) from a population (N) such that each member of the population has an equal chance of being included in the sample.