Purpose: In developing item banks for patient reported outcomes (PROs), nonparametric techniques are often used for investigating empirical item response curves, whereas final banks usually use parsimonious parametric models. A flexible approach …
Carl Falk from McGill University in Montreal, Canada and I investigated the use of a more flexible IRT model to fit the PROMIS Physical Function Itembank. The paper has been now published in Quality of Life Research’s nonparametric IRT section.
I held the webinar yesterday and there was quite some turnout. Unfortunately, the technology failed and i couldn’t record the webinar. Find my slides here, though!
Feel free to get in touch if you have questions on the material.
A nice thing about virtual conferences is that talks can be easily recorded and shared after the conference.
At last years PHO i presented a work i did with my colleague Carl Falk from McGill University in Montreal.
There are a growing number of item response theory (IRT) studies that calibrate different patient-reported outcome (PRO) measures, such as anxiety, depression, physical function, and pain, on common, instrument-independent metrics. In the case of …