Chapter 9 Flashcards
Often this is called a target population because of the importance of focusing on exactly who the study objects are and where they are located.
Population or Universe
Consist of obtaining information from a portion of a larger group or population.
Sampling
Why Sampling?
- Cost Savings
- Time Economy
- More in-dept
- Less total error
- Greater practicality
- Greater security
Is introduced into the research result from an source other than sampling
Nonsampling Error
Occurs when the sample does not perfectly represent the population under study.
Sampling Error
Is introduced into a sample when the sample varies in some systemic way from the larger population.
Sample Bias
The size of the sample will be a function of the accuracy of the sample.
Sample Size
Sampling Decision Model Steps:
- Define popultion
- Determine Sampling Frame
- Select Sampling Method
- Determine the Sample Size
- Select the Sample
A listing of the members of the target population that can be used to create and draw the sample.
Sampling Frame
Samples where each element has a known chance to be included in the sample.
Probability Sampling
Sampling Techniques the do not involve the selection of sample elements by chance.
Nonprobability Sampling
A technique that allows each element of the population an equal and known chance of being selected as part of the sample.
Simple Random Sample
Characterized by the fact that the total population is (1) decided into mutually exclusive subgroups and that (2) a simple random sample is then chosen from each subgroup.
Stratified Sample.
The population is divided into mutually exclusive subgroups, and the next step involves the selection of a random sample of subgroups rather than a random sample from each subgroup.
Cluster Sample
Every element has a known but not equal chance of being selected.
Systematic Sample