- Rich understanding: Qualitative insights provide a deep understanding of the case, allowing researchers to explore complex issues and uncover underlying motivations, attitudes, and behaviors.
- Contextual information: Qualitative data helps to contextualize quantitative findings by providing detailed information about the social, cultural, and environmental factors that influence the case.
- Exploration of new ideas: Qualitative research allows for the exploration of new ideas and hypotheses that can later be tested using quantitative methods.
- Uncovering unexpected findings: Qualitative insights can reveal unexpected or contradictory findings that may not have been captured by quantitative data alone.





- Statistical analysis: Quantitative data allows for statistical analysis, which can help identify patterns, correlations, and trends in the data.
- Generalizability: Quantitative data provides a basis for generalizing findings to a larger population or context.
- Comparisons and benchmarks: Quantitative data enables comparisons between different groups, time periods, or interventions, providing benchmarks for evaluating the effectiveness of strategies or interventions.
- Supporting or refuting hypotheses: Quantitative data can be used to test hypotheses and provide evidence to support or refute theories.





Ultimately, a balanced approach that integrates both qualitative and quantitative methods is often the most effective. By combining the strengths of each approach, researchers can gain a comprehensive understanding of the case and provide more robust and insightful answers.