To understand the difference between quantitative and qualitative data in performance analysis, here's an easy way to look at it:
Quantitative Data: This type is all about numbers. It includes things we can measure, like speed, distance, and heart rates. For example, if someone runs a 5k in 25 minutes, that gives us a clear number to see how fast they were.
Qualitative Data: This type is more about feelings and opinions. It could be about how a player felt during a game or what strategies they think worked well. It focuses on the experience and thoughts, not just the numbers.
Both types of data are important for understanding performance fully!
To understand the difference between quantitative and qualitative data in performance analysis, here's an easy way to look at it:
Quantitative Data: This type is all about numbers. It includes things we can measure, like speed, distance, and heart rates. For example, if someone runs a 5k in 25 minutes, that gives us a clear number to see how fast they were.
Qualitative Data: This type is more about feelings and opinions. It could be about how a player felt during a game or what strategies they think worked well. It focuses on the experience and thoughts, not just the numbers.
Both types of data are important for understanding performance fully!