A qualitative approach would allow me to understand my research problem at a deeper, more contextual level compared to a quantitative one. While quantitative methods focus ...
A qualitative approach would allow me to understand my research problem at a deeper, more contextual level compared to a quantitative one. While quantitative methods focus on measuring relationships between variables (e.g., how strongly depression predicts sleepiness), qualitative methods help explain why and how these relationships exist. For example, instead of only knowing that higher stress or depression is associated with poorer wellbeing, qualitative data could reveal personal experiences, coping strategies, or environmental factors that shape these outcomes. This provides richer insights that numbers alone cannot capture.
For my study, semi-structured interviews would be especially useful because they allow participants to share detailed personal experiences while still keeping the discussion focused on key themes. Focus groups could also be relevant to explore shared perspectives and social influences, particularly if the topic involves behaviors like health habits or stress. In some cases, observation might add value by capturing real-life behaviors rather than self-reported data, although it may be less practical depending on the research context.
I do see strong potential for a mixed-methods approach in this project. Quantitative data can identify general patterns and relationships, while qualitative data can help explain and interpret those findings. For instance, after running regression analysis to identify significant predictors, follow-up interviews could explore participants’ lived experiences behind those statistical results. Combining both approaches would provide a more comprehensive understanding of the research problem and strengthen the overall validity of the study.