HLTB15H3 Lecture Notes - Lecture 7: Sample Size Determination
Document Summary
This could get complicated due to the goal being generalizability and it takes a lot of financial and time spending. When you select a sample of 100 from 22000, you have to first determine the cost and logistics. Inclusion criteria -the intervention so it limits the number of people you include. Exclusion criteria - then within that, you can exclude the metastatic, surgery and recovery and other health limitations. Also the larger clusters and sample leads to a lower cost and easier logistics. It is also important to set up a sample frame that is complete in the target population. Therefore choosing the right sample size, it minimizes error of sample estimates. Accuracy (validity and reliability in qualitative) (reliability (s consisticy) Meaning the total sample size affects how close the. If a population is too small, it"s harder. Larger the sample size, more precise the estimate. The goal of sampling is to reduce the overall survey error.
