Analyzing surveys can be tricky because of two main types of data: qualitative and quantitative.
Qualitative Data: This type is based on personal opinions and feelings. It can be hard to sort and understand. For instance, when people give open-ended answers, these can be unclear and make it tough to come to solid conclusions.
Quantitative Data: This type is based on numbers and is usually easier to work with. However, it can overlook important details that help explain the numbers. If you don't consider the full picture, it might lead to wrong conclusions.
To make sense of both types of data, using a mix of them can be very helpful. By looking at both qualitative and quantitative data together, you can get a better and clearer understanding of the survey results.
Analyzing surveys can be tricky because of two main types of data: qualitative and quantitative.
Qualitative Data: This type is based on personal opinions and feelings. It can be hard to sort and understand. For instance, when people give open-ended answers, these can be unclear and make it tough to come to solid conclusions.
Quantitative Data: This type is based on numbers and is usually easier to work with. However, it can overlook important details that help explain the numbers. If you don't consider the full picture, it might lead to wrong conclusions.
To make sense of both types of data, using a mix of them can be very helpful. By looking at both qualitative and quantitative data together, you can get a better and clearer understanding of the survey results.