Week 4 Flashcards
Population
The group to wich you want to generalize the results of your study.
Census
All the people in the population are also in the sample.
Sampling frame
List of people from the population, available to fill out a survey.
Coverage error
The mismatch between the population and the sampling frame.
Sampling error
When an analyst does not select a sample that represents the entire population.
Sampling bias
When some people in the population have a higher chance to be selected
Probability samples
Random samples in which every respondent is chosen through a random procedure.
Stratified random sampling
The population is divided into subgroups, and random samples are drawn from every group.
Simple random sampling
Every subject has the same probability to be selected.
Cluster sampling
The population is already divided into clusters, some of these are chosen, then some or all of the smaller units (secondary sampling units) are selected.
Convenience samples
Asking people to participate who are easy to reach by the researcher.
Purposive/judgement samples
The researcher chooses specific people based on their characteristics to participate.
Quota sampling
The researcher chooses a limit for every subgroup and add people till the quota is reached.
Snowball sampling
Respondents are asked to reach out to contacts who also meet the criteria to participate and so on.
Probability level
(p value) the probability of finding the observed or more extreme if H0 is true
