000240330 000__ 01498pam\a2200277\a\45e0 000240330 001__ 240330 000240330 005__ 20210513093439.0 000240330 008__ 931020s1994\\\\cau\\\\\\b\\\\000\0\eng\\ 000240330 010__ $$a 93041840 000240330 019__ $$a32202456 000240330 020__ $$a0803943768 (pbk.) 000240330 035__ $$a(OCoLC)ocm29257046 000240330 035__ $$a240330 000240330 040__ $$aDLC$$cDLC$$dIAI$$dUKM 000240330 049__ $$aISEA 000240330 05000 $$aQA278$$b.I74 1994 000240330 08200 $$a300/.1519535$$220 000240330 1001_ $$aIshii-Kuntz, Masako. 000240330 24510 $$aOrdinal log-linear models /$$cMasako Ishii-Kuntz. 000240330 260__ $$aThousand Oaks :$$bSage Publications,$$cc1994. 000240330 300__ $$aviii, 64 p. ;$$c22 cm. 000240330 4901_ $$aSage university papers series. Quantitative applications in the social sciences ;$$vno. 07-097 000240330 504__ $$aIncludes bibliographical references (p. 61-63). 000240330 5050_ $$a1. Introduction -- Ordinal measures -- Log-linear models for nominal variables: a review -- Log-linear models for two-way tables -- 2. Ordinal log-linear models -- Row effects models -- Column effects model -- Uniform association models -- Assignment of scores -- Row and column effects model (the RC model) -- Odds ratios for two-way tables: summary -- Ordinal log-linear models for higher ordered tables -- Multidimensional log-multiplicative models -- Odds ratios for three-way log-linear models: summary -- Selection for ordinal log-linear models -- Advantages of using ordinal log-linear models. 000240330 650_0 $$aLog-linear models. 000240330 830_0 $$aQuantitative applications in the social sciences$$vno. 07-097. 000240330 85200 $$bgen$$hQA278$$i.I74$$i1994 000240330 909CO $$ooai:library.usi.edu:240330$$pGLOBAL_SET 000240330 980__ $$aBIB 000240330 980__ $$aBOOK