How do the sampling methods and sample sizes vary for the different types of quantitative and qualitative research?

Unit 2 discussion (nu560-8d) | Nursing homework help

The sampling methods and sample sizes for quantitative and qualitative research vary significantly. Quantitative research typically requires larger sample sizes than qualitative research due to the need for representative data that can be accurately analyzed. Depending on the type of study, quantitative samples may include a random selection of individuals from an identified population or a convenience sample which is more accessible but not necessarily representative of the target population. Sampling in quantitative research often relies on probability sampling techniques such as stratified, cluster, systematic, and/or simple random sampling in order to ensure greater objectivity in data collection. Generally speaking, sample sizes range anywhere between 30-50 participants (for surveys) up to thousands (for large scale studies).

In contrast to quantitative research, qualitative research typically involves smaller sample sizes since it emphasizes more in-depth analysis rather than statistical findings. Qualitative sampling generally consists of purposeful or theoretical sampling where participants are chosen based on their relevance to the topic being studied rather than randomly selected from a population. For example researchers might focus on individuals who have experienced a certain event or phenomenon in order to gain insights into their experiences and beliefs about it. Sample size for qualitative studies can range from 20-30 people depending on the complexity of the subject matter and whether saturation has been achieved during data collection i.e., when additional interviews yield few new insights into the topic under investigation.