Which is a primary goal of using a mixed-methods approach?

Using a mixed-methods approach primarily aims to supply a richer understanding of research questions. This methodology combines both qualitative and quantitative techniques, allowing researchers to explore complex issues from multiple perspectives. By integrating various forms of data, researchers can capture more nuanced insights that might be missed if only one method were employed. For instance, quantitative data can provide measurable evidence, while qualitative data can delve into the meanings and experiences behind that evidence. This comprehensive strategy allows for triangulation, enhancing the validity of the findings and leading to a more thorough understanding of the topic under investigation.

Other choices do not align with the core purpose of mixed methods. For example, while addressing bias is important, a mixed-method approach does not inherently avoid bias in quantitative studies. Similarly, it does not reduce the need for qualitative investigation; in fact, it often highlights the importance of qualitative aspects. Lastly, while mixed methods may streamline certain processes by providing a broader context, the approach is usually more complex rather than simplified, given its dual data strategy.