How Item Banks and Their Application Can Influence Measurement Practice in Rehabilitation Medicine: A PROMIS Fatigue Item Bank Example Jin-Shei Lai,

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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: 10.1016/j.apmr.2010.08.033 Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

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 2011 92, S20-S27DOI: (10.1016/j.apmr.2010.08.033) Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

Fig 2 Procedures to develop the PROMIS Fatigue Item Bank. Archives of Physical Medicine and Rehabilitation 2011 92, S20-S27DOI: (10.1016/j.apmr.2010.08.033) Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

Fig 3 Comparisons of SFs and CAT. Abbreviation: SFs, short forms. Archives of Physical Medicine and Rehabilitation 2011 92, S20-S27DOI: (10.1016/j.apmr.2010.08.033) Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions

Fig 4 Distribution of the fatigue scores (in T-score). Archives of Physical Medicine and Rehabilitation 2011 92, S20-S27DOI: (10.1016/j.apmr.2010.08.033) Copyright © 2011 American Congress of Rehabilitation Medicine Terms and Conditions