When designing a qualitative study, the location and population must align directly with the research problem. The setting should reflect where the issue naturally occurs so that the data collected is both relevant and meaningful (McGregor, 2018). For instance, if I were researching how multimodal instruction affects engagement in students with emotional and behavioral disabilities (EBD), the ideal setting would be a self-contained or inclusion classroom that already supports ESE students. The choice of population strongly influences the sampling method. Since qualitative research focuses on depth rather than breadth, purposive sampling is often the best fit. Choosing participants with direct experience (such as teachers working with EBD students) helps ensure the data speaks directly to the core of the research question (Creswell & Poth, 2018). Snowball sampling could also be useful in reaching educators who may not be widely accessible but have valuable insight