1. How Item Banks and Their Application Can Influence Measurement Practice in Rehabilitation Medicine: A PROMIS Fatigue Item Bank Example 
Jin-Shei Lai, PhD, OTR/L, David Cella, PhD, Seung Choi, PhD, Doerte U. Junghaenel, PhD, Christopher Christodoulou, PhD, Richard Gershon, PhD, Arthur Stone, PhD 
Archives of Physical Medicine and Rehabilitation 
Volume 92, Issue 10, Pages S20-S27 (October 2011)
DOI: /j.apmr
Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

2. Fig 1
Hypothesized model used for bifactor analysis. General factor is defined as overall fatigue and 2 local factors are IMP and EXP. IMP item-n indicates items the measure fatigue impact, and EXP item-n, fatigue experience. CFI=.911; TLI=.996; RMSEA=.100. Abbreviations: EXP, fatigue experience; IMP, fatigue impact.
Archives of Physical Medicine and Rehabilitation  , S20-S27DOI: ( /j.apmr )
Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

3. Fig 2 Procedures to develop the PROMIS Fatigue Item Bank.
Archives of Physical Medicine and Rehabilitation  , S20-S27DOI: ( /j.apmr )
Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

4. Fig 3 Comparisons of SFs and CAT. Abbreviation: SFs, short forms.
Archives of Physical Medicine and Rehabilitation  , S20-S27DOI: ( /j.apmr )
Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

5. Fig 4 Distribution of the fatigue scores (in T-score).
Archives of Physical Medicine and Rehabilitation  , S20-S27DOI: ( /j.apmr )
Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions