A research team collects quantitative and qualitative data, codes the qualitative data, and examines correlations with quantitative data. What type of mixing is this?

The scenario describes a research team that combines quantitative and qualitative data through a process where qualitative data is coded and then analyzed alongside quantitative data to examine correlations. This approach highlights the phase of analysis where the two types of data interact and inform each other.

Mixing in the analysis refers specifically to the integration of quantitative and qualitative data during the analytical process. In this context, by coding qualitative responses and investigating their relationship with quantitative measures, the researchers are actively synthesizing the two data types to draw more comprehensive insights. This integration allows for a richer understanding of the research questions at hand.

Considering the other options, mixing in the design would pertain to how the study is structured and how qualitative and quantitative components are incorporated from the beginning, rather than focusing on the analytical phase. Mixing in the interpretation involves synthesizing findings from various data sources to convey overall conclusions but does not directly address the analytical methods used in correlating data. Independent methods would imply that the data types are handled separately without any interplay between them, which contradicts the described approach of examining correlations. Thus, the correct categorization of the described activity is indeed mixing in the analysis.