Random sampling is the best technique in order to control for participant variables impacting research. Some have suggested over-sampling in case some participants were not cooperative.
Need some pros and cons of "Oversampling" to expand on my assignment. Any ideas or thoughts would be welcome.
Oversampling is usually to balance out the sample to have enough of members of the various subgroups of interest. Random sampling will result in a similar proportion to the population but may not have enough from small subgroups to run ANOVA or other tests and distinguish between small sample groups (not enough statistical power). That is, a random sample does not ensure that all groups will have a minimum size (count in the sample), which is needed to reduce the margin of error for that subgroup. By selecting more from small subgroups, you ensure that you have a minimum subgroup size to run needed tests and can correct for imbalances in the sample.
Typically, the motivation is not to correct for ...
Your discussion is 449 words and a reference and gives two pros and two cons with examples.