This paper emphasizes the importance of sampling and sample size considerations in qualitative research. It argues that qualitative researchers should select sample sizes and sampling designs that are most compatible with their research purposes. The authors discuss the importance of sampling in qualitative research and outline 24 designs for selecting a sample. They also discuss the importance of selecting a sample size that yields data with a realistic chance of reaching data saturation, theoretical saturation, or informational redundancy. Based on the literature, the authors provide sample size guidelines for several qualitative research designs and offer a framework for making sampling and sample size considerations in interpretive research. Sampling is a process of selecting an appropriate sample, and it is important in all research. However, sampling has not been given the same prominence in qualitative research as in quantitative research. The authors note that only three journal articles have discussed sampling and/or sample size in qualitative research. They argue that qualitative researchers make inferences from the sample of words to each respondent's truth space when conducting thematic analyses. If the sample of words is not representative of each respondent's total truth space, the sampling error will be large. Additionally, in situations where the purpose of the qualitative study is to generalize findings, both the size of the sample and the sampling scheme are crucial. The authors advocate for the use of qualitative power analyses. They outline 22 sampling designs for qualitative research, including 5 probability and 17 non-probability sampling schemes. They also identify two new non-probability sampling schemes. The authors emphasize the importance of selecting a sample size that yields data with a realistic chance of reaching data saturation, theoretical saturation, or informational redundancy. They provide sample size guidelines for several qualitative research designs and offer a framework for making sampling and sample size considerations in interpretive research.This paper emphasizes the importance of sampling and sample size considerations in qualitative research. It argues that qualitative researchers should select sample sizes and sampling designs that are most compatible with their research purposes. The authors discuss the importance of sampling in qualitative research and outline 24 designs for selecting a sample. They also discuss the importance of selecting a sample size that yields data with a realistic chance of reaching data saturation, theoretical saturation, or informational redundancy. Based on the literature, the authors provide sample size guidelines for several qualitative research designs and offer a framework for making sampling and sample size considerations in interpretive research. Sampling is a process of selecting an appropriate sample, and it is important in all research. However, sampling has not been given the same prominence in qualitative research as in quantitative research. The authors note that only three journal articles have discussed sampling and/or sample size in qualitative research. They argue that qualitative researchers make inferences from the sample of words to each respondent's truth space when conducting thematic analyses. If the sample of words is not representative of each respondent's total truth space, the sampling error will be large. Additionally, in situations where the purpose of the qualitative study is to generalize findings, both the size of the sample and the sampling scheme are crucial. The authors advocate for the use of qualitative power analyses. They outline 22 sampling designs for qualitative research, including 5 probability and 17 non-probability sampling schemes. They also identify two new non-probability sampling schemes. The authors emphasize the importance of selecting a sample size that yields data with a realistic chance of reaching data saturation, theoretical saturation, or informational redundancy. They provide sample size guidelines for several qualitative research designs and offer a framework for making sampling and sample size considerations in interpretive research.