Lesson 19 Flashcards
Random selection of subjects or elements of the population
Probability sampling
The goal is to examine representative elements of the population
Probability sampling
Each unit in the population has a “known, non-zero chance” of being included in the sample
Probability sampling
The selection of samples on random basis from a sampling frame
Simple random sampling
Each element has an equal chance or probability of being chosen as subject of the study
Simple random sampling
Involves the use of sampling frame
Simple random sampling
Sampling that uses the table of random numbers, computer software generated table of random numbers or a lottery
Simple Random Sampling
It is used in survey involving relatively small population with readily available sampling frames
Simple random sampling
Divides the population into homogenous subgroups from which elements are selected at random
Stratified Random Sampling
This is done to ensure representative of the sample size by “grouping elements with similar strata” and selected the desired number of elements
Stratified Random Sampling
The successive selection of random samples from a larger to smaller units by using either simple random or stratified random methods
Cluster Sampling or Multi-Stage Sampling
It involves “several stages” in drawing the samples from the population
Cluster Sampling / Multi Stage Sampling
It is used when a sampling frame for the elements is not readily available and when “cost considerations are important”
Cluster Sampling
The selection of samples in sequence according to predetermined modality such as: 10th name in a list
Systematic or Sequential Sampling
This is used when a sampling frame is not available
Systematic / Sequential Sampling