Table 3.
AAQ item characteristics
| Item | Monoto-nicity | GRM fit | GRM item parametersa | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Item ID | Item description | Hi | S-X2 p-valueb |
a | b1 | b2 | b3 | b4 | b5 |
| AAQ_01 | Ascending stairs | 0.613 | 0.369 | 2.743 | 0.126 | 0.960 | 1.954 | 2.798 | – |
| AAQ_02 | Descending stairs | 0.580 | 0.232 | 2.386 | − 0.191 | 0.698 | 1.802 | 2.275 | 3.096 |
| AAQ_03 | Walking outside on a flat surface | 0.628 | 0.030 | 2.857 | 0.130 | 1.168 | 1.443 | 2.193 | 3.259 |
| AAQ_04 | Walking outside on uneven terrain | 0.634 | 0.667 | 2.964 | 0.156 | 1.079 | 1.429 | 2.444 | – |
| AAQ_05 | Walking inside: starting walking after at least 15 min sitting | 0.629 | 0.069 | 2.467 | − 0.526 | 0.879 | 2.173 | 3.363 | – |
| AAQ_06 | Ascending a bridge | 0.657 | 0.499 | 3.453 | 0.087 | 1.326 | 2.123 | 2.928 | – |
| AAQ_07 | Descending a bridge | 0.648 | 0.035 | 3.132 | 0.005 | 1.406 | 2.221 | 3.092 | – |
| AAQ_08 | Picking up an object from floor | 0.584 | 0.030 | 2.260 | 0.092 | 1.033 | 1.710 | 2.869 | – |
| AAQ_09 | Rising from the floor | 0.560 | 0.073 | 1.983 | − 0.240 | 0.987 | 1.859 | – | – |
| AAQ_10 | Rising from a chair | 0.630 | 0.284 | 2.693 | − 0.346 | 1.230 | 2.024 | 3.526 | – |
| AAQ_11 | Sitting down on a chair | 0.620 | 0.480 | 2.734 | − 0.105 | 1.312 | 1.823 | 3.690 | – |
| AAQ_12 | Rising from a sofa | 0.669 | 0.158 | 2.789 | − 0.886 | 0.590 | 1.553 | 2.629 | – |
| AAQ_13 | Sitting down on a sofa | 0.633 | 0.012 | 2.779 | − 0.400 | 0.898 | 1.606 | 2.800 | – |
| AAQ_14 | Rising from a toilet | 0.633 | 0.385 | 2.964 | 0.072 | 0.929 | 2.002 | 3.195 | – |
| AAQ_15 | Sitting down on a toilet | 0.622 | 0.751 | 2.727 | 0.186 | 1.126 | 2.234 | 3.430 | – |
| AAQ_16 | Putting on shoes | 0.499 | 0.654 | 1.403 | − 1.561 | − 0.259 | 1.433 | 3.055 | – |
| AAQ_17 | Taking off shoes | 0.461 | 0.008 | 1.289 | − 0.461 | 0.505 | 3.144 | – | – |
Hi Loevinger’s Homogeneity coefficient (on item level), GRM graded response model
aIn GRMs, one slope and several (number of response options minus 1) threshold parameters are estimated for each item. While the slope parameter (a) specifies how strong an item is associated with the latent trait, threshold parameters (bj) define the locations on the latent trait continuum at which an item responses are most informative
bS-X2 item fit statistics were evaluated after adjusting for multiple testing (p < 0.003)