Quantitative research typically requires larger sample sizes than qualitative research. Quantitative studies need larger samples due to factors like complexity, number of variables, and sampling strategy. In contrast, qualitative research uses smaller, nonrandom samples, focusing on data saturation and redundancy.

Quantitative research often demands larger sample sizes to ensure statistical power and validity, especially in complex studies or those with multiple variables. Techniques like stratified random sampling can reduce the needed sample size compared to simple random sampling. On the other hand, qualitative research aims to explore meanings and experiences, so it employs smaller, nonrandom samples. The sample size in qualitative studies is determined by data saturation, where participants are added until no new information emerges. This approach can lead to very small sample sizes in homogeneous groups or specific case studies, while more heterogeneous studies like ethnographies may require larger samples.

Key points

Quantitative research generally needs larger sample sizes than qualitative research.
Complexity and number of variables in quantitative studies increase sample size needs.
Sampling strategies like stratified sampling can reduce required sample size in quantitative research.
Qualitative research uses smaller, nonrandom samples focused on data saturation.
Data saturation in qualitative studies means adding participants until no new information is found.
Qualitative sample sizes can be very small in homogeneous or specific case studies.
Larger samples may be needed in qualitative studies with more heterogeneous populations.

How do sample sizes differ between qualitative and quantitative research as discussed in the chapter?

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