๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Ordinal Log-Linear Models (Quantitative Applications in the Social Sciences)

โœ Scribed by Masako Ishii-Kuntz


Publisher
Sage Publications, Inc
Year
1994
Tongue
English
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


What log-linear models can social scientists use to examine categorical variables whose attributes may be logically rank-ordered? In this book, the author presents a technique that is often overlooked but highly advantageous when dealing with such ordered variables as social class, political ideology and life satisfaction attitudes. Beginning with an introduction to the concept and measurement of ordinal models and a brief review of nominal log-linear analysis, the book provides a detailed description of the various ordinal models, including row effects, column effects, uniform association and uniform interaction models. Each model is illustrated with data from the National Survey of Families and Households, with which Ishii-Kuntz discusses


๐Ÿ“œ SIMILAR VOLUMES


Logistic Regression Models for Ordinal R
โœ Ann Aileen O'Connell ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐ŸŒ English

Logistic Regression Models for Ordinal Response Variables provides applied researchers in the social, educational, and behavioral sciences with an accessible and comprehensive coverage of analyses for ordinal outcomes. The content builds on a review of logistic regression, and extends to details of

Linear Probability, Logit, and Probit Mo
โœ John H. Aldrich, Forrest D. Nelson ๐Ÿ“‚ Library ๐Ÿ“… 1984 ๐Ÿ› Sage Publications, Inc ๐ŸŒ English

Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and disc

Interpreting Probability Models: Logit,
โœ Tim F. Liao ๐Ÿ“‚ Library ๐Ÿ“… 1994 ๐Ÿ› Sage Publications, Inc ๐ŸŒ English

What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measur

Causal Modeling (Quantitative Applicatio
โœ Herbert B. Asher ๐Ÿ“‚ Library ๐Ÿ“… 1983 ๐Ÿ› Sage Publications, Inc ๐ŸŒ English

A substantially revised and updated edition of an earlier volume in the series. Asher presents a number of techniques of causal modelling, beginning with the work of Simon and Blalock, and moving on to recursive and non-recursive path estimation. Special attention is given to a number of problems in