What characterizes a mixed-methods approach in research?

A mixed-methods approach in research is characterized by the combination of both quantitative and qualitative research methods. This methodology allows researchers to draw on the strengths of both types of data, providing a more comprehensive understanding of a research question. By integrating quantitative techniques, which involve numerical data and statistical analysis, with qualitative techniques that focus on understanding the meaning and context of human behavior, researchers can gather richer insights.

Utilizing both qualitative and quantitative methods enables researchers to validate and cross-check findings, offering a more rounded perspective on complex social phenomena. For example, a study might begin with a qualitative exploratory phase to identify themes and inform the development of a quantitative survey, which can then be analyzed to measure the prevalence of those themes among a larger population.

The other options do not encapsulate the essence of a mixed-methods approach. Solely relying on qualitative or quantitative data misses the benefits of blending the two, and prioritizing one type of data over another does not align with the goal of mixed methods, which is to leverage both types equally to enrich the research outcome.