Qualtitative research sample sizes are usually smaller. Evidence indicates that sample size is matter of contention and practical guide to issues demanding consideration (Pepin 2018). Methods include purposive sampling where the researcher selects certain participants for a reason, network sampling locates samples that would otherwise be difficult to locate, and theoretical sampling where the researcher gathers relevant data for theory generation.
My quantitative research question is: Among Registered Nurses, is job retention lower when workplace incivility is present in the workplace as opposed to when it is now present over the course of one year? I would try to use a large sample size in this case. Maybe I would choose a hospital and send surverys to nurses who quit in less than a year of working to find out if their reason for quitting was due to bullying. This is probably cluster sampling.
My qualitative question is: Among registered nurses, is patient satisfaction lower when bullying and incivility is present in the workplace as opposed to when it is not present? I would use a smaller sample size in this situation. I would probably choose one unit that is known to have bullying, and interview patients over a set period of time. This would be purposeful sampling.
Malone, H. E., Nicholl, H. (2016). Fundamentals of estimating sample size. Nurse researcher, 23(5), 21-25.
Pepin, G. (2018). Reporting rigorous qualitative results: moving beyong small sample sizes. Australian Occupational Therapy Journal, 65(2), 77-78.