One reason I used the MTQ was because it was MEASUREABLE as it is A PERMANENT RECORD OF DATA. This meant I could compare my retest results to see if I was improving.

One reason I used the MTQ was because it was MEASUREABLE as it is A PERMANENT RECORD OF DATA. This meant I could compare my retest results to see if I was improving.

• A. ACCURATE as it is A PERMANENT RECORD OF DATA
• B. MEANINGFUL as it is A PERMANENT RECORD OF DATA
• C. MEASUREABLE as it is A PERMANENT RECORD OF DATA
• D. RELIABLE as it is A PERMANENT RECORD OF DATA

Answer: (C)

Measurable data is what lets you quantify performance and compare it over time. When a test yields numbers you can track across attempts, you can see exactly how scores change from the initial test to the retest and determine whether there’s genuine improvement. The fact that data are stored as a permanent record supports keeping that history, but the crucial factor for comparing progress is the ability to assign a numerical value to performance. Accurate relates to closeness to the true value, which doesn’t by itself guarantee you can compare progress over time. Meaningful speaks to relevance or significance, but again doesn’t ensure you can track change numerically. Reliable concerns consistency across repeated measurements, which helps trust the data but doesn’t directly enable the day-to-day comparison of scores you described.

Measurable data is what lets you quantify performance and compare it over time. When a test yields numbers you can track across attempts, you can see exactly how scores change from the initial test to the retest and determine whether there’s genuine improvement. The fact that data are stored as a permanent record supports keeping that history, but the crucial factor for comparing progress is the ability to assign a numerical value to performance.

Accurate relates to closeness to the true value, which doesn’t by itself guarantee you can compare progress over time. Meaningful speaks to relevance or significance, but again doesn’t ensure you can track change numerically. Reliable concerns consistency across repeated measurements, which helps trust the data but doesn’t directly enable the day-to-day comparison of scores you described.