When the same researcher uses both quantitative and qualitative approaches on the same topic, but not necessarily in the same study, this is called?

The term that accurately describes the situation where the same researcher employs both quantitative and qualitative approaches on the same topic, though not necessarily within the same study, is known as "mixing in the program of research." This concept emphasizes the integration of multiple methodologies across different studies to enrich understanding and findings on a particular topic.

By diversifying the types of data collected and analyzed over time, researchers can draw on the strengths of both quantitative and qualitative approaches, thus leading to a comprehensive exploration of the research question. This strategy allows for a more nuanced examination of the subject matter, fostering a deeper understanding that could not be achieved through a single method alone.

The other options refer to different aspects of research methodology. For example, concurrent design typically involves collecting both types of data at the same time and integrating them during the analysis phase. Sequential explanatory refers to a specific mixed-methods design where quantitative data is collected and analyzed first, followed by qualitative data that aims to explain or elaborate on the initial findings. While these approaches are valuable, they do not capture the broader concept of mixing methodologies throughout a research program as defined by mixing in the program of research.