Phase 3 Flashcards
Standardized sample
original sample that you compare to
Population
All members of the target audience
Sample
Representative of target audience
Probability sampling
Uses statistics to ensure that a sample is representative of a population
Simple random sampling
every member of a population has an equal chance of being chosen as a member of the sample
Systematic random sampling
every nth person is chosen
Stratified random sampling
Population is divided into subgroups
(Age, gender, race)
- 50 male and 50 female
Cluster sampling
Is used when it is not feasible to list all of the individuals who belong to a particular population
(East, west, central, north, south)
nonprobability sampling
not everyone has an equal chance of being selected from the population
Convenience sampling
The survey researcher uses any available groups of participants to represent the population
Sample size
number of people needed to represent the target population accurately
Homogeneity of population
How similar the people in your population are to one another
more similar, smaller the size
Sampling error
a statistic that reflects how much error can be attributed to the lack of representation of the target population by the sample of respondents chosen
Distributing the survey
how will the instrument be given to the respondent
email, phone, weblink, in person
Cumulative/Summative model
Assumes that the more a test taker responds in a particular fashion, the more they have of attributes being measured
