uantitative research methods effectively address inquiries related to what, when, and who but may not be as suitable for exploring how and why questions (Sage, 2021). Employing quantitative methods has advantages, including the potential to generalize results to a broader population through careful selection and representation of the study group. The analysis is relatively straightforward, yielding highly consistent, accurate, and dependable data. Although quantitative methods have advantages, they also have drawbacks, such as the unavailability of pertinent secondary data and the challenge of comprehending a phenomenon's contextual intricacies. Consequently, the obtained data may not be robust enough to elucidate complex issues. Qualitative data denotes non-numeric information obtained through observation, interviews, focus groups, written documents, and case studies (Sage, 2021). These methodologies enable researchers to conduct in-depth exploration of intricate issues and supplement quantitative data by furnishing comprehensive insights. Qualitative data collection methods provide adaptability in gathering information on delicate subjects and are frequently more cost-effective than quantitative methods (McGregor, 2018). However, it is imperative to recognize that findings derived from qualitative data are typically not generalizable to the broader study population or community. Analyzing qualitative data can be more difficult as it does not neatly conform to standard classifications, and