-
Sample
the set of elements selected form a population
-
Element
The basic unit selected
-
Population
The full set of elements from which the sample is selected
-
Sampling
The process of drawing a sample from a population
-
Representative sample
A sample that resembles the population
-
Equal propability of selection method (EPSEM)
Sampling method in which each individual element has an equal probability of selection into the sample
-
Statistic
A numerical characteristic of sample data
-
parameter
A numerical characteristic of a population
-
sampling error
differences between sample values and the true population parameter
-
Census
collection of data form everyone in the population
-
Sampling frame
A list of all the elements in a population
-
response rate
the percentage of people selected to be in a sample and who participate in the research study
-
\Biased sample
a nonrepresentative sample
-
Proximal similarity
generalization to people, places, settings, and contexts that are similar to those described in the research study
-
Simple random sampling
A popular and basic equal probability selection method
-
Statified random sampling
Division of population elements into mutually exclusive groups and then selection of a random sample from each group
-
Proportional stratified sampling
Stratified sampling where the sample proportions are made to be the same as the population proportions on the stratification variable
-
disproportional stratifies samples
Stratified sampling where the sample proportions are made to be differnet from the population proportion s on the stratifcation variable
-
Cluster random sampling
Sampling method where clusters are randomly selected
-
Cluster
A collection type of unit that includes multiple elements
-
One-stage cluster sampling
Clusters are randomly selected and all the elements in the selected clusters constitute the sample
-
Two-stage cluster sampling
Clusters are randomly selected, and a random sample of elements is drawn from each of the selected clusters
-
Systematic sampling
The samplking method where one determines the sampling interval(k), randomly selects an element between 1 and k, and then selects every kth element
-
Sampling interval
the population size divided by the desired sample size; it's symbolized by the letter k
-
periodicity
Problematic situation in systematic sampling that can occur if there is a cyclical pattern in the sampling
-
Convenience sampling
use of people who are reeadily available, volunteer, or are easily recruited for inclusion in a sample
-
Quota Sampling
A researcher decides on the desired sample sizes or quotas for groups identified for inclusion in the sample, followed by convenience sampling fron the groups
-
purposive sampling
a researcher specifies the characteristics of the population of interest and then locates individuals who have those characteristics
-
Snowball sampling
each sampling person is asked to identify other potential particpants with the inclusion characteristic
-
Random selection
Selection of participants using a random sampling methods
-
Random assignment
Placement of participants into experimental conditions on the basis of a chance process
-
purpose of random selection
to obtain a representative sample
-
Purpose of random assignment
to produce two or more equivalent groups for use in an experiment
-
Sample size calculator
A statistical program used to provide a recommended sample size
-
mixed sampling
use of a combination of quantitative and qualitative sampling methods
|
|