FINALS MMW Lesson 1: Sampling Technique Flashcards
It is the process of obtaining samples from the population.
Sampling
It is a method by which every element of a population has an equal chance of being included in a sample.
Random or Probability Sampling
Two Types of Sampling Technique
Random Sampling Technique
Non-random Sampling Technique
Four kinds of Random Sampling Technique
Simple Random Sampling
Systematic Sampling
Stratified Sampling
Cluster Sampling
A method in which every individual
or item from a frame has the same
chance of selection as every individual
or item.
Simple Random Sampling
It is the most elementary random sampling techniques.
Simple Random Sampling
Other term for simple random sampling
Lottery Sampling or Fishbowl Sampling
The N individuals or items in the framed are partitioned into groups by dividing the size of the frame N by the desired sample size n.
Systematic Sampling
What is the formula for Systematic Sampling?
K = N/n
where;
K = groups
N = population size
n = sample size
The N individuals or items in the frame are first subdivided into separate subpopulations, or strata, according to some common characteristic.
Stratified Sampling
What is the formula for samples?
n = N/1+Ne^2
The N individuals or items in the frame are divided into several clusters so that each cluster is representative of the entire population.
Cluster Sampling
It is used when the population is large or when it involves subjects residing in a large geographic area.
Cluster Sampling
Three Types of Non-random Sampling Technique
Purposive or Judgment Sampling
Quota Sampling
Convenience Sampling
The respondents of the study will be
chosen based on their knowledge of the information required by the researcher.
Purposive or Judgment Sampling