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How and Why Do Samples Work?
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a small collection of units taken from a larger collection
Sample
a larger collection of units from which a sample is taken
Population
a sample drawn in which a random process is used to select units from a population
there are best to get an accurate representation of the population
but are difficult to conduct
Random sample
a non-random sample in which you use a non-systematic selection method that often produces samples very unlike the population
Four Types of Non-Random Samples
Convenience sampling(Accidental or Haphazard)
non-random sample in which you use any means to fill pre-set categories that are characteristics of the population
Four Types of Non-Random Samples
Quota Sample
a non-random sample in which you use many diverse means to select units that fit a very specific characteristics
Four Types of Non-Random Samples
Purposive(Judgmental) sampling
a non-random sample in which selection is based on connections in a pre-exisiting network
Four Types of Non-Random Samples
Snowball(network) sampling
a specific list of sampling elements in the target population
Sampling frame
any characteristic of the entire population that you estimate from a sample
population parameter
the ration of the sample size to the size of the target population
sampling ratio
Why use a Random Sample?
Random samples are most likely to produce a sample that truly represents the population
they are purely mathematical or mechanical
allow calculation of probability of outcomes with great precision
sample elements selected from the frame based on a mathematically random selection procedure
simple random samples
Author:
ninabolong
ID:
230777
Card Set:
How and Why Do Samples Work?
Updated:
2013-08-21 12:30:25
Tags:
Sampling
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Description:
Sampling
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