HLTB15H3 Lecture Notes - Lecture 7: Normal Distribution, Systematic Sampling, Standard Deviation
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Sampling units are not easily identified!
Cluster sampling - sampling population is
i)divided into groups – clusters
ii)elements within each cluster are selected
Different levels of clustering are possible!
Cluster 1 – all provinces or territories
Cluster 2 – major cities
Cluster 3 – school boards
Cluster 4 – schools
This process is called multi-stage cluster sampling
NON-RANDOM (NON-PROBABILITY) SAMPLING DESIGNS
Does not follow the theory of probability!
Number of elements either unknown or cannot be individually identified
Types of non-random sampling designs
Consent to participate
-not based on an obvious or visible characteristic
-common among market research and media
Judgemental or purposive sampling
-Who can provide the best information?
-Application - construction of a historical reality or description of a phenomenon
-No need for information on sampling frame, sample elements, location....
-Inclusion of participants needed for the study
-Findings cannot be generalized
Few individuals are selected
Asked to identify other individuals
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