Qualitative Methods Questions
Data saturation refers to the point in qualitative research where no new or additional information is being obtained from the data collected. It is the stage at which researchers have gathered enough data to fully understand and analyze the phenomenon under study, and further data collection is unlikely to yield any new insights or perspectives. Data saturation is achieved when the researcher has reached a point of redundancy, where the same themes, patterns, or information are consistently emerging from the data. It is an important criterion in qualitative research as it ensures that the data collected is sufficient and comprehensive enough to address the research questions and objectives.