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University of Toronto Scarborough
Health Studies
Caroline Barakat

HLTA10 Tutorial- final review Snowball sampling- survey people and ask them to refer others to get information Accidental sampling- drawn from population that is readily available and convenient Non response bias- people who have been asked dont do it or stop half way through Selection bias- group may not be representative of entire population Sampling bias- the people you are selecting from dont have an equal chance of being included Observer bias- any sort of bias that the researcher introduces (i.e. asking questions in a leading manner, or preconceived notions) Multivariate analysis- Unstructured interviews- they allow participant to say more about the subject at hand Secondary data- cancer registries are an example Primary data- data is collected by the researcher Secondary data data is collected from an organization, etc., that has already conducted the research Qualitative research in terms of sampling: To determine sample size enough people from the population to avoid sampling bias and not represent full diversityheterogeneity of the population you are looking at; when you have a very small sample size, one person (outlier) can change and skew the whole thing -you know youve reached your sample size w
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