1. Complexity: Mixed-methods research design can be highly complex and require significant planning and coordination between researchers from different backgrounds.
2. Time-consuming: Conducting a mixed-methods research study can be time-consuming, as it requires multiple data collection and analysis methods.
3. Resource-intensive: Mixed-methods research design can be more resource-intensive than other research designs due to the need for multiple data collection and analysis methods, as well as the need for trained researchers from multiple backgrounds.
4. Data integration: Integrating data from different data collection and analysis methods can be challenging, and achieving a coherent and meaningful analysis can be difficult.
5. The risk of bias: There is a risk of bias in mixed-methods research designs, as a researcher may have a preference for one method over another, or one method may yield more influential results than another, leading to a skewed research outcome.
6. Difficulties in generalization: Mixed-methods research designs can be difficult to generalize to other populations or settings due to the differences in data collection and analysis methods used.
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