Challenges of Mixing Data Types
Combining Different Types of Data: Mixing qualitative data (like interviews) and quantitative data (like numbers and stats) can be tricky. It’s important to bring both types together effectively.
Takes a Lot of Time and Effort: This method can use a lot of time and resources. This might make it hard for researchers to keep up with everything.
Confusing Results: When the results from the qualitative and quantitative data don’t match, it can cause confusion and make it hard to understand what the data really means.
Solution: To make things easier, set up a clear plan before starting. This plan will help guide how to combine and understand the data, keeping everything consistent and clear.
Challenges of Mixing Data Types
Combining Different Types of Data: Mixing qualitative data (like interviews) and quantitative data (like numbers and stats) can be tricky. It’s important to bring both types together effectively.
Takes a Lot of Time and Effort: This method can use a lot of time and resources. This might make it hard for researchers to keep up with everything.
Confusing Results: When the results from the qualitative and quantitative data don’t match, it can cause confusion and make it hard to understand what the data really means.
Solution: To make things easier, set up a clear plan before starting. This plan will help guide how to combine and understand the data, keeping everything consistent and clear.