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
Attempting to gather data from a certain number of participants that meet certain characteristics
Quota Sampling
Also know as chain referral sampling
Snowball Sampling
Refer the researcher to other who may be able to potentially contribute or participate in the study
Snowball Sampling
