P. Alvarez et A. Pulgarin, THE RASCH MODEL - MEASURING THE IMPACT OF SCIENTIFIC JOURNALS - ANALYTICAL-CHEMISTRY, Journal of the American Society for Information Science, 47(6), 1996, pp. 458-467
Citations number
49
Categorie Soggetti
Information Science & Library Science","Information Science & Library Science
This article focuses on a fresh way to determine a ranking of science
journals according to the ''number of citations-to and items-published
,'' data used by SCI JCR of ISI to determine journal ranking by ''impa
ct factor.'' This is the first application of latent traits theory to
bibliometrics. ''Impact'' is considered a latent variable defined by a
set of items (or indicators), citations, and sources. The theoretical
background is Item Response Theory, which suggests that, if we can un
derstand how each item in a set of items operates with an object, then
we can estimate a measure for the object. The Rasch model is the comm
onest formulation of that theory. This technique is here applied to th
e citations and sources of 43 Analytical Chemistry journals (objects)
to provide a Rasch measure for these journals which is compared with t
he current ''impact factor'' computation.