BIOE: PRINCIPLES OF SAMPLING Flashcards
• Is the set of complete collection or totality of all
possible values of the variable.
Population (N)
• A subset or sub-collection of elements drawn from a
population.
Sample (n)
SAMPLING TECHNIQUES
• Simple random sampling
• Systematic sampling
• Cluster sampling
• Stratified sampling
Probability Sampling
SAMPLING TECHNIQUES
• Purposive sampling
• Quota sampling
• Convenience sampling
• Snowballing sampling
Non-Probability Sampling
PROBABILITY SAMPLING
In this technique elements of the sample are
selected through lottery.
Simple Random Sampling
PROBABILITY SAMPLING
This technique of sampling is done by taking every
element in the population assignment of number as
a part of the sample.
To select the systematic sample of n elements from a population of N element, we divide the N
element in the population in the n groups of kth
element.
Systematic Sampling
PROBABILITY SAMPLING
• Population under this technique is being
divided into sections (or cluster),
randomly select some of these cluster as
the member of the sample size.
Cluster Sampling
PROBABILITY SAMPLING
• In this technique, the population is
subdivided into at least two different
subpopulation (or strata) that share the
same characteristics and then the
elements of the sample are drawn from
its stratum proportionately.
Stratified Sampling
NON-PROBABILITY SAMPLING
(Judgmental / Authoritative)
• In this technique , the elements of the sample are being selected according to the criteria or rules set.
Purposive Sampling
NON-PROBABILITY SAMPLING
In this technique , the sample size is limited on the required number or subject in the study.
Quota Sampling
NON-PROBABILITY SAMPLING
(Haphazard / Opportunity)
• In this technique , the sample are being selected from a
particular place at specified time preferred.
Convenience Sampling
NON-PROBABILITY SAMPLING
In this technique , the researcher asks respondents to give referrals to other possible respondents.
Snowballing Sampling
