In this book, originally published in 1978 by Abt Books, author Leo Goodman presents new methods for causal analyses of qualitative variables, for scaling response patterns, for latent structure analysis, and for analyzing and comparing various kinds of cross-classification tables. Edited by Jay Magidson, this volume includes contributions from James A. Davis and Jay Magidson.

Analyzing qualitative/categorical data: Log-linear models and latent-structure analysis

Science & Math

Leo A. Goodman

Mathematics

distributor for U.S.A. and Canada, Abt Books

<p>In 1954, prior to the era of modem high speed computers, Leo A. Goodman and William H. Kruskal published the fmt of a series of four landmark papers on measures of association for cross classifications. By describing each of several cross classifications using one or more interpretable measures, they aimed to guide other investigators in the use of sensible data summaries. Because of their clarity of exposition, and their thoughtful statistical approach to such a complex problem, the guidance in this paper is as useful and important today as it was on its publication 25 years ago. in a cross-classification by a single number inevita Summarizing association bly loses information. Only by the thoughtful choice of a measure of association can one hope to lose only the less important information and thus arrive at a satisfactory data summary. The series of four papers reprinted here serve as an outstanding guide to the choice of such measures and their use.</p>

Measures of Association for Cross Classifications . Springer Series in Statistics

Politics & Social Sciences

Social Sciences

Springer

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Books by Leo A. Goodman