sampling

1. It is a process used in statistical analysis in which a
predetermined number of observations are taken from a large
population

2. TYPES OF SAMPLING
PROBABILITY SAMPLING
Samples are gathered in a
process that gives all
individual have equal chance
to be selected
NON-PROBABILITY
SAMPLING
Samples are gathered in a
process that does not give all
individuals in population
equal chance of being selected

3. PROBABILITY SAMPLING
Simple random sampling
Stratified sampling
Cluster sampling
Systematic sampling
Multistage sampling
Area sampling

4. NON-PROBABILITY SAMPLING
Purposive sampling
Quota sampling
Convenience sampling
Self-selection sampling
Snow ball
Judgment sampling

5. PURPOSIVE SAMPLING
Known as selective, judgmental, or subjective
sampling
It’s a probability sample that is selected based on
characteristics of a population and the objective of the
study

6. TYPES OF PURPOSIVE SAMPLING
Homogenous
Typical case sampling
Maximum variation
Extreme Deviant case sampling
Critical case sampling
Total population sampling
Expert sampling

7. MERITS
Uses best available knowledge concerning the sample
subjects
Gives better control of significant variables
Sample groups data can be easily matched
Homogeneity of subjects used in the sample

8. DEMERITS
The reliability of the criterion is questionable
Knowledge of population is essential
There may be errors in classifying sample subjects
Unable to utilise the inferential parametric statistics
Unable to make generalization concerning total
population