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There is a difference between a hypothesised variable and a variable that is measured with a valid and reliable measure (e.g., a depression test). We might say that we have more confidence that a variable is ‘real’ if it has been measured by a valid test. As such, the visualisation could find a way of representing this confidence by either indicating the score in the variable (e.g., a depression symptom could have the number ’70’ in the middle, indicating a t-score of 70 on a depression test). The score could have an asterisk next to it if it is in a ‘clinical range’ to help clinicians understand the meaning of the score.
Implementation
This is technically very easy but would require a lot of input from several professionals so could prove to be quite difficult.
The text was updated successfully, but these errors were encountered:
Summary
There is a difference between a hypothesised variable and a variable that is measured with a valid and reliable measure (e.g., a depression test). We might say that we have more confidence that a variable is ‘real’ if it has been measured by a valid test. As such, the visualisation could find a way of representing this confidence by either indicating the score in the variable (e.g., a depression symptom could have the number ’70’ in the middle, indicating a t-score of 70 on a depression test). The score could have an asterisk next to it if it is in a ‘clinical range’ to help clinicians understand the meaning of the score.
Implementation
The text was updated successfully, but these errors were encountered: