Descriptive statistics of scores from the 5-, 10-, and 15-item OA-FUNCTION-CATs were similar to those for the full item pool for both domains and for mean scores generated across OA conditions (Table 2).
*The randomization scheme allocated participants to either the full item bank for the Pain domain or the full item bank for the Fatigue domain.
We compared mean scores generated by the CAT simulations with scores from the full item bank for the entire sample and by site of OA.
For example, 0.7560 for the full item BPRS; 0.7524 for the results of stepwise regression using the full items of BPRS; 0.7198 for the selected eight items from stepwise regression using three small sets; and 0.7036 for the selected seven items from multivariate regression (all p values of respective analysis of variance were less than 0.001).
This use of background data is particularly important because it permits the use of assessment designs in which each respondent need only receive a subset of the full item pool developed for each domain while also optimizing the estimation of proficiency for a population or subpopulation of interest.4.
See text for full item descriptions.
The student must discuss two aspects of engineering practice that favour re-designing the dam, even if this will incur greater cost (for the full item and scoring rubrics, See Tremblay et al. 2012, 261 263).
Descriptive statistics for scores from 5-, 10-, and 15-item CATs were similar to those for the full item bank.
Full item banks (e.g., the long forms) were administered for depressive symptoms (15 items), anxiety (20 items), peer relationships (15 items), and anger (11 items) for a total of 61 items.
Figure 1 provides score plots for the 10-item CAT and the full item bank.
‡ For proxy interview, the pUI and FES items were modified to address proxy's concerns about patient UI and fear of patient falling Since only subsets of items were used in proxy interviews for the SF-12 PCS and I-QOL scales, we predicted full-item scores for these scales (termed pSF-12 PCS and pUI, respectively) using a weighted combination of items.
