2026-09-23T12:15:07Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/87420 2023-07-11 col_2142_5131 col_2142_17362 com_2142_5130 com_2142_17361 com_2142_8903

Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 114 p. (MiAaPQ)AAI9989999 Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000. http://hdl.handle.net/2142/87420 William Stout Froelich, Amy Goodwin 2015-09-28T16:02:48Z 2015-09-28T16:02:48Z 10000-01-01 2000 2000 Using results from He & Shao (2000), a proof of the consistency and asymptotic normality of item parameter estimates obtained from the Marginal Maximum Likelihood Estimation (Bock & Lieberman, 1970) procedure as both the number of examinees and the number of items tends to infinity is presented. The proof depends upon fairly general regularity conditions on the model and on the growth of the number of items relative to the number of examinees. Made available in DSpace on 2015-09-28T16:02:48Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9989999.pdf: 4978466 bytes, checksum: 20dfefe71d36965bf8ad324368c0fb8a (MD5) Previous issue date: 2000 Embargo set by: Seth Robbins for item 88701 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs eng Psychology, Psychometrics Assessing Unidimensionality of Test Items and Some Asymptotics of Parametric Item Response Theory text Statistics Statistics University of Illinois at Urbana-Champaign Dissertation Ph.D.