How and Why Do Samples Work?

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Author:
ninabolong
ID:
230777
Filename:
How and Why Do Samples Work?
Updated:
2013-08-21 08:30:25
Tags:
Sampling
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Sampling
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  1. a small collection of units taken from a larger collection
    Sample
  2. a larger collection of units from which a sample is taken
    Population
  3. 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
  4. 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)
  5. 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
  6. 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
  7. 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
  8. a specific list of sampling elements in the target population
    Sampling frame
  9. any characteristic of the entire population that you estimate from a sample
    population parameter
  10. the ration of the sample size to the size of the target population
    sampling ratio
  11. 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
  12. sample elements selected from the frame based on a mathematically random selection procedure
    simple random samples

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