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Sampling concepts (Why do we sample? (Limited Resources, Scarcity,…
Sampling concepts
Why do we sample?
Limited Resources
Scarcity
Destructive Testing
May be more accurate
Errors
Random sampling error
the variation between the true mean value for the population and the true mean value for the sample
Non-random sampling error
Non-sampling error
Respondent errors
Response errors
Deliberate falsification
Unconscious misrepresentation
Non-response errors
cause the final sample to be different in size and/or composition from the planned sample
Researcher errors
Administrative errors
Data processing
Interviewer
Sample Design
Problem definition errors
The problem has not been defined correctly
Measurement & Design errors
Survey instrument errors
Construct development errors
Scale measurement errors
Data analysis errors
Misinterpretation errors
Sampling Frame
Problems
MISSing elements
Blanked or foreign elememts
Uneven occurrence of characteristics of elements
Duplication