HLTH 200 Lecture Notes - Lecture 2: Simple Random Sample, Multistage Sampling, Statistic
Document Summary
Improving external validity: sampling terminology, statistical terms in sampling. The 65, 95, 99 percent rule: probability sampling. Session 8: how do you choose the right sample to. Sampling is the process of selecting units from a population of interest so you can fairly generalize results to the population from which the units were chosen. It is all about the evenness of the distribution of the problem you are researching. Think about how evenly distributed a pie is every taste will be the same: proper sampling reduces the threats to external validity. External validity is important to the idea of generalizing. It is defined as the degree to which conclusions could hold for other context. 2 major approaches to get evidence to support generalizations are: the sampling model, which identifies the population you"d like to generalize to, draws a representative sample from it, and then conducts research. It improves external validity by generalizing the results back to the population automatically.
