Lesson 2 Flashcards
Very important in the aspect of research
Data collection
Is a process to used in statistical analysis in which a predetermined number of observation taken in larger population.
Sampling
2 sampling methods
Probability and Non Probability
Under Probability Sampling
Simple Random Sampling
Cluster Sampling
Systematic sampling
Statified random sampling
Under of Non- probability sampling
Purposeful/Purposive Sampling
Quota Sampling
Snowball sampling
Convenience sampling
Theory of probability
Probability Sampling
Chances of being selected to be a part of a sample.
Probability Sampling
It gets rid of bias in the pupulation and gives a fair chance to all members to be included in the sample.
PROBABILITY SAMPLING
Devide the entire pupulation into sections or cluster that represent a pupulation such as age or gender
Cluster sampling
Members of a sample are chosen at regular intervals of a population
Systematic Sampling
Divided into smaller groups
Statified random sampling
These groups can be organized and then draw a sample from each group separately.
Stratified Random Sampling
Chosen randomly
Simple Random Sampling
Each individual has the exact same probability of being chosen
Simple random sampling
Based on pre-selected criteria on the research question.
Purposeful/Purposive Sampling