Final answer:
Cristina is engaged in data analysis, combining statistical techniques for quantitative data and interpretive methods for qualitative data, including coding and thematic analysis, in her mixed-methods research study.
Step-by-step explanation:
Cristina is involved in data analysis, which is a crucial phase in mixed-methods research. This process encompasses a range of tasks from computing basic descriptive statistics for quantitative data gathered through surveys to the more interpretive process of identifying codes and themes in qualitative data such as survey transcripts. In her qualitative analysis, Cristina is likely engaged in procedures such as thematic structures, interpretation and selective coding, and formulating categories. Unlike quantitative data analysis, which relies on statistical methods, qualitative data analysis requires the analytical and critical thinking skills of the researcher, since there are no universally accepted procedures for this type of analysis, and results are not replicable in the same way they might be in quantitative analysis. Cristina's final stage of analysis would involve connecting her research findings back to the original research questions, often using quotes from participants to highlight the identified thematic structures.
Quantitative sociology frequently employs statistical methods and surveys engaging large numbers of participants to identify patterns in human behavior. On the flip side, qualitative sociology aims to understand human behavior through a deep-dive into in-depth interviews, focus groups, and content analysis. Cristina's mixed-methods approach allows for a comprehensive understanding of her research subject by integrating both quantitative and qualitative insights.