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HLTB15H3 (77)
Lecture 7

Lecture 7 - Part II

3 Pages
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Department
Health Studies
Course Code
HLTB15H3
Professor
Caroline Barakat

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Description
Cluster Sampling 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! Example: 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 Quota Sampling Access Visible characteristic Consent to participate Accidental samplin
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