Chapter 7 Flashcards
A survey
Uses questions and interviews to gather information about people
Population
Refers to all the cases or observations of interest to us
Sample
A subset of cases or observations from the population
Sampling frame
A list of names, phone number, address is, or other units from which a sample will be selected
Representative sample
Reflects the important characteristics of the population
Non-representative
Also called a biased sample, it does not reflect the important characteristics of the population
Response rate
Represents the percentage of cases who participate in a survey out of all of those who were selected to participate
Social desirability bias
A tendency to respond in a way that a person feels a socially appropriate, rather than as she or he truly feels
Probability sampling
Each member of the population has a chance of being selected into the sample, and the probability of being selected can be specified
Nonprobability sampling
Each member of the population either does not have a chance of being selected into the sample, the probability of being selected cannot be determined, or both
Simple random sampling
In which every member of the sampling frame has an equal probability of being chosen at random to participate in the survey
Stratified random sampling
A sampling frame is divided into groups (called strata; singular = stratum) and then within each group random sampling is used to select the members of the sample
Cluster sampling
Units that contain members of the population are identified. These units, called clusters, are then randomly sampled
Single stage cluster sampling
All the participants in the randomly selected clusters are chosen to participate in the survey
Multi stage sampling
The use of two or more stages to select progressively smaller samples