Log-Linear Models, Volume 20; Volume 1980
Introduces methods for quantitative assessment of relationships among categoric variables in multivariable crosstabulations. Procedures to estimate and interpret effect parameters for hierarchical models are described for both the general loglinear model and its logit version. Learn more about "The Little Green Book" - QASS Series! Click Here
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additive alternative analysis applications association attitude Black calculated Catholic causal cohort College column comparing conclude conditional consider crosstabulation degrees of freedom dependent variable diagonal difference direction discussed distribution effect parameters equal Equation estimates example expected cell frequencies expected frequencies expected odds four function given hence hierarchical High School hypotheses identification independent indicate interaction interpretation involving less linear log-linear models logit model marginal marginal table mean measure membership methods mobility notation Note observed observed frequencies obtained odds ratio panel party period persons possible present probability problems procedure question race regression relationship relative represent respondents sample saturated model Series shown shows significant social standard starting statistical structural substantive Survey symmetry techniques three-way turnout University values voting voting turnout zero