Sentence examples for items were generated using from inspiring English sources
In this novel approach, items were generated using natural and domain-specific language of the research population, what seems to have made the survey much more sensitive to real experiences than theory-based ones.
Items were generated using three methods.
Lastly, items were generated using the reports on the verbatims from patients and experts.
Questionnaire items were generated using coded transcript data from the focus groups.
Items were generated using patient terminology to reflect the concepts relevant to adolescents' understanding of their experience of impacts from ADHD as defined in the modified conceptual framework.
Specifically, WOMAC items were generated using a structured interview that included open- and closed-ended questions applied to 100 patients with primary osteoarthritis of the hip or knee.
Non-DIF-item response data were generated using the estimated parameters in Additional file 1. Items simulated to exhibit mode effects (DIF) were randomly selected according to the percentage of DIF items (10% or 30%) for the specified simulation condition.
The specific items included in the SMP-T2D were generated using language as close as possible to that used by patients.
The PVs were generated using all item response data in a balanced incomplete block design given in (von Davier et al. 2009), as well as the covariates wage, EDU and SEX.
