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Title:

Sampling

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Choosing a relatively small number of cases, the study of ... Random number generator. Simple Random. Systematic Random. Stratified sampling. Cluster sampling ... – PowerPoint PPT presentation

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Title: Sampling


1
Sampling
2
Definition
  • Choosing a relatively small number of cases, the
    study of which may tell us much about the larger
    population from which they have been selected.
  • Time
  • Cost
  • Variability

3
Why does Sampling Matter?
  • From a practical perspective?

4
Population
  • Generalizability
  • Census
  • Not Just Surveys
  • vs. Sample
  • Cases

5
Types of Samples
  • Probability
  • Representativeness

6
Non-probability samples
  • Probability of being selected?
  • Self-Selection
  • Convenience
  • Purposive
  • Snowball

7
Probability samples
  • We know the probability of being selected

8
Non-Representative Samples
  • Bias
  • Systemmatic/Non-Systemmatic

9
Representative Samples
  • Major Attributes
  • Quota

10
Randomization
  • Random number generator
  • Simple Random
  • Systematic Random
  • Stratified sampling
  • Cluster sampling

11
The Central Limit Theorem
12
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13
Sampling Error
14
Total Sampling Error
  • Sampling bias
  • Random Sampling Error

15
Sampling Error
  • Accuracy
  • Margin of Error
  • Confidence Interval
  • Confidence
  • Percentage
  • Level
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