What is a mixed-methods approach in research?

A mixed-methods approach in research is defined as a strategy that effectively integrates both qualitative and quantitative methods. This approach seeks to provide a more comprehensive understanding of a research problem by leveraging the strengths of both qualitative data, which offers depth and context through open-ended responses and detailed narratives, and quantitative data, which allows for statistical analysis and generalizability through structured measurements.

By combining these two methodologies, researchers can validate findings and gain insights that might be missed if only one method was utilized. For instance, qualitative data can be used to explain the 'why' behind phenomena identified through quantitative analysis, while quantitative data may help to quantify attitudes, behaviors, or responses revealed through qualitative inquiry. This triangulation of data sources increases the validity and robustness of research findings, making mixed-methods a valuable approach in social work and other social sciences.

The other options do not align with the definition of mixed methods; focusing solely on qualitative methods limits the scope of the research, long-term studies refer to a duration aspect rather than a methodological approach, and avoiding data collection contradicts the fundamental purpose of research.