RAND-IAQL-4 Scoring Procedure and Translation Table
Scoring Procedure
Each of the four items on the RAND-IAQL-4 use five-category response options ranging in value from 0 to 4. Higher scores indicate greater negative impact of asthma on quality of life. In cases where the items have been administered on a range 1 to 5, first re-score response options for each item to 0 to 4 (e.g., 1=0, 2=1, 3=2, 4=3, 5=4). To find the total raw score, sum across the values of the responses to all four questions. The lowest possible score will be 0 and the highest possible score will be 16. If any of the four items are missing, assign the respondent a missing value for the total score.
Next, based on a given total score, find the associated IRT-score in the “T-Score” column. The “T-Score” column provides the IRT-based asthma quality of life score score estimate given each particular total score. Note that the “T-Score” and “SE” columns transform the IRT metric (N(mean=0, standard deviation =1)) to a T-score metric (mean = 50, standard deviation = 10). A higher T-score means worse Asthma quality of life.
RAND-IAQL Main PageReferences
Thissen, D., Pommerich, M., Billeaud, K., & Williams, V.S.L. (1995). Item response theory for scores on tests including polytomous items with ordered responses. Applied Psychological Measurement, 19, 39-49.
Thissen, D., Nelson, L., Rosa, K., & McLeod, L.D. (2001). Item response theory for items scored in more than two categories. In D. Thissen & H. Wainer (Eds), Test Scoring (pp. 141-186). Mahwah, NJ: Lawrence Erlbaum Associates.
Scoring Table
Sum Score | T-Score | SE |
---|---|---|
0 | 36.2 | 5.7 |
1 | 41.8 | 4.0 |
2 | 45.1 | 3.4 |
3 | 47.5 | 3.1 |
4 | 49.4 | 3.0 |
5 | 51.1 | 2.9 |
6 | 52.7 | 2.8 |
7 | 54.2 | 2.8 |
8 | 55.6 | 2.8 |
9 | 57.0 | 2.7 |
10 | 58.4 | 2.7 |
11 | 59.8 | 2.7 |
12 | 61.3 | 2.8 |
13 | 62.9 | 2.9 |
14 | 64.7 | 3.1 |
15 | 66.9 | 3.3 |
16 | 71.3 | 4.6 |
Note: T-score metric is a linear transformation from the IRT theta scale: T-score = 10 * theta + 50. SE in the table is the standard error on T-score metric. |