Two parallel short forms to measure disease- and treatment-associated knowledge in rheumatoid arthritis: application of item response theory.

ABSTRACT:

Objective

The aim was to develop two disease- and treatment-related knowledge about RA (DataK-RA) short forms using item response theory-based linear optimal test design.

Methods

We used the open source Excel add-in solver to program a linear optimization algorithm to develop two short forms from the DataK-RA item bank. The algorithm was instructed to optimize precision (i.e. reliability) of the scores for both short forms, subject to a number of constraints that served to ensure that each short form would include unique items and that the short forms would have similar psychometric properties. Agreement among item response theory scores obtained from the different short forms was assessed using the Bland-Altman method and Student's paired t-test. Construct validity a

SUBMITTER: Spijk-de Jonge MJ 

PROVIDER: S-EPMC7368341 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature