• SIMPLE RANDOM SAMPLING:
In which each and every item has an
equal chance of selection.
•SYSTEMATIC RANDOM SAMPLING:
In which one or two items are selected
randomly, but other items are selected by
adding the average sampling interval to the
item selected randomly.
•STRATIFIED RANDOM SAMPLING:
It is the process of segregating the population
into groups and select by systematic sampling
method from each strata or cell.
• CLUSTER SAMPLING:
The population is divided into clusters like
families and then simple random sampliing is
• CONVENIENCE SAMPLING:
The process of including whoever happens to be
available at the time.
It also called “accidental” or “haphazard”
• JUDGEMENTAL SAMPLING:
The process whereby the researcher selects a
sample based on experience or knowledge of
the group to be sampled.
It is also called purposive sampling
• QUOTA SAMPLING:
The process whereby a researcher gathers data
from individuals possessing identified
characteristics and quotas.
For example, an interviewer may be told to sample 200
females and 300 males between the age of 45 and 60.
• SNOWBALL SAMPLING:
The sampling procedure in which the initial
respondents are chosen by probability or non-
probability methods, and then additional
respondents are obtained by information
provided by the initial respondents
STEPS IN SAMPLING PROCESS
STEP 1: Define the target population
STEP 2: Identify the sampling frame
STEP 3: Specifying the sampling unit.
STEP 4: Selection of the sampling method.
STEP 5: Determination of sample size.
STEP 6: Specifying the sampling plan.
STEP 7: Selecting the sample.