1. Specificity: The measurement should be specific to the variable or attribute being measured.

2. Reliability: The measurement should be consistent and reproducible over time.

3. Validity: The measurement should accurately reflect the variable or attribute being measured.

4. Sensitivity: The measurement should be able to detect small changes in the variable or attribute being measured.

5. Accuracy: The measurement should be close to the true value of the variable or attribute being measured.

6. Precision: The measurement should be consistent and repeatable over time.

7. Comprehensiveness: The measurement should cover all aspects of the variable or attribute being measured.