CMHL1001 Lecture Notes - Lecture 4: Sampling Frame, Observational Error, Sample Size Determination
5 Aug 2018
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Document Summary
Samples should be chosen without bias and should be representative of the theoretical population. sampling: the process of selecting participants. Choosing the correct sampling technique will allow for the research to be highly generalizable back to the theoretical population. There are two main types of sampling: These sampling methods rely on the random selection of participants. Note: random sampling must not be confused with random allocation which refers to the random of assignment of participants to study groups (such as in a rct) once they have already been selected as a participant in the study. Errors that occur in the process of sampling which introduce bias into the sample. Note: they are different to measurement errors measurement errors take place within the data whilst sampling errors occur when the group of participants chosen (the sample) is inadequate or not random enough.
