| Literature DB >> 27920348 |
Marjorie Bott1, Alex G Karanevich1, Lili Garrard2, Larry R Price3, Dinesh Pal Mudaranthakam1, Byron Gajewski1.
Abstract
New software that performs Classical and Bayesian Instrument Development (CBID) is reported that seamlessly integrates expert (content validity) and participant data (construct validity) to produce entire reliability estimates with smaller sample requirements. The free CBID software can be accessed through a website and used by clinical investigators in new instrument development. Demonstrations are presented of the three approaches using the CBID software: (a) traditional confirmatory factor analysis (CFA), (b) Bayesian CFA using flat uninformative prior, and (c) Bayesian CFA using content expert data (informative prior). Outcomes of usability testing demonstrate the need to make the user-friendly, free CBID software available to interdisciplinary researchers. CBID has the potential to be a new and expeditious method for instrument development, adding to our current measurement toolbox. This allows for the development of new instruments for measuring determinants of health in smaller diverse populations or populations of rare diseases.Entities:
Keywords: Bayesian methods; free software; instrument development methods
Mesh:
Year: 2016 PMID: 27920348 PMCID: PMC5453854 DOI: 10.1177/0193945916681564
Source DB: PubMed Journal: West J Nurs Res ISSN: 0193-9459 Impact factor: 1.967