How do you balance conflicting results from different methods in mixed research?

1 Define Terms

Mixed research, a common approach in business management, involves using both qualitative (descriptive, non-numerical data) and quantitative (statistical, numerical data) methods. Qualitative research can include interviews or focus groups, providing in-depth insights into behaviors and opinions. Quantitative research often involves surveys or experiments, offering measurable and generalizable data. When these methods yield conflicting results, it's crucial to understand their inherent differences. Qualitative data is context-dependent and rich in detail, while quantitative data is more about breadth and general patterns.

2 Acknowledge Bias

In balancing conflicting results from mixed research, it's important to acknowledge potential biases in both qualitative and quantitative methods. Qualitative research can be influenced by the researcher's interpretations, while quantitative data might be affected by sample size or measurement errors. Recognize these biases and consider how they might have impacted the results. By critically evaluating the research design, data collection, and analysis processes, you can identify areas where biases could have skewed the findings, helping you to understand the nature of the conflict.

3 Triangulate Data

Triangulation is a key strategy in mixed research, where you compare and contrast results from different methods to validate findings. When facing conflicting results, triangulation can help you determine which findings are more reliable or whether the conflict points to a deeper complexity in the research question. For instance, if qualitative interviews suggest one trend but a quantitative survey indicates another, further investigation into the context or conditions of each method might explain the discrepancy and lead to a more nuanced understanding.

5 Consider Weight

Deciding how much weight to give to each method's results is a subjective but crucial part of balancing mixed research findings. Quantitative data might be favored for its statistical significance and broader applicability, while qualitative insights could be crucial for understanding the 'why' behind the numbers. Consider the context of your research and the importance of each method's contribution to your specific business needs. This will guide you in determining which results should influence your management decisions more heavily.

6 Integrate Insights

Finally, integrating insights from both qualitative and quantitative research is essential to balance conflicting results. Look for overarching themes or patterns that emerge when you consider both sets of data together. This integrated approach can lead to a more comprehensive understanding of the issue, transcending the limitations of each individual method. It allows for the development of strategic solutions that are informed by a depth of qualitative insights and the breadth of quantitative evidence.