Sampling For Quantitative Studies Flashcards
What is a population?
- all individuals of interest to the researcher
- the larger group from which a sample is taken
What is a sample?
- a representative subset of the population that contains the essential element of that population
- a group of study participants
-sample from the population
How do I select a sample from a population for a quantitative study? (1st)
Probability sampling= the goal is for an equal probability of individuals/units in a population to be selected
What are examples of probability sampling?
Random selection, systematic sampling, stratified random sampling, cluster sampling
Random selection?
Every member of the population has an equal probability of being selected for the sample
Systematic sampling?
Every Nth entry from a list is used for selection
Stratified random sampling?
The population is divided and grouped (in representative proportion) on a characteristic before random selection
Cluster sampling?
Each group (i.e. cluster) has an equal probability of being selected
How do i select a sample form a population for a quantitative study? (2nd)
Non-probability sampling= participants are chosen based on a non-random method
What are 2 examples of non-probability sampling?
- convenience sampling= selected based on familiarity or convenience
- purposive sampling= sample that reflects the characteristic of interest
Examples of purposive sampling?
Snowball sampling, quota sampling, expert sampling
Which sampling strategy is better?
Probability sampling: provides representative sample from a population, allows more confidence to make generalization to a population
Non probability: less expensive and convenient, makes harder to have confidence in generalizations
What are things to keep in mind when recruiting participants?
- ethics
-accessing and contacting potential participants (email, over phone, in person) - need to convince individuals of importance of your research
- consider providing compensation (not coercion, but for appreciation of time)
- show enthusiasm for research!