Scaling of Order Dependent Categorical Variables with Correspondence Analysis

Dependent Categorical Variables 1 Running head: DEPENDENT CATEGORICAL VARIABLES Multiple Unordered Categorical Dependent Variables in Organizational Research

A model for analyzing multiple categorical dependent variables is presented and developed for use in organizational research. A primary example occurs in the foreign market entry literature, where choice of ownership (majority, equal, or minority) and “function” (acquisition or joint venture) are simultaneously endogenous; only separate univariate ownership-based and function-based choice model...

A Discriminant Analysis of Information Systems Effectiveness: Categorical Dependent Variables of DSS Impact

A large sample of 936 vessel accident cases occurring between 1979 and 1987on the Lower Mississippi River were cluster analyzed to generate four groups relatively unique in their respective attribute values. lbe attributes used to cluster the accidents included participation in the U. S. Coast Guard’s New Orleans Vessel Traffic Service (NOLAW’S), type of accident, river stage, traffic level, sy...

Regression models for categorical dependent variables using Stata, 2nd Edition

Categorical Variables in Dea

If a DEA model has a mix of categorical and continuous variables a standard LP formulation can still be used by entering all combinations of categorical and continuous variables as different types of inputs and/or outputs. Most units will then not have positive levels of all variables. The implications for selection of peers are investigated. Peers can have the same or fewer types of inputs tha...

Bayesian Analysis of Stochastically Ordered Distributions of Categorical Variables

This paper considers a nite set of discrete distributions all having the same nite support. The problem of interest is to assess the strength of evidence produced by sampled data for a hypothesis of a speciied stochastic ordering among the underlying distributions and to estimate these distributions subject to the ordering. We present a Bayesian approach alternative to the use of the posterior ...