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Bockenholt, Ulf Maydeu-Olivares, Albert 2015-09-25T20:39:43Z 2015-09-25T20:39:43Z 10000-01-01 1997 1997 Based on the asymptotic distribution of marginal sample proportions a family of statistics for testing sparse binary contingency tables under multinomial sampling is proposed. These statistics are used to assess the goodness of fit of Thurstonian models for binary preference data. Made available in DSpace on 2015-09-25T20:39:43Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9812826.pdf: 7139594 bytes, checksum: 0139707d0f094abf6b058bf2c28ee3c0 (MD5) Previous issue date: 1997 Embargo set by: Seth Robbins for item 83516 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 189 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997. http://hdl.handle.net/2142/82235 (MiAaPQ)AAI9812826 eng Business Administration, Marketing Structural Equation Modeling of Binary Preference Data text Psychology Psychology University of Illinois at Urbana-Champaign Dissertation Ph.D.