Objective. Researchers have suggested a number of different methods for interpreting the
coefficients in a logit model. Unfortunately, many of these interpretations suffer from a lack …

This article takes issue with propositions tendered in Roncek (1991) regarding the
definitions of odds and odds ratios, the interpretation of the partial slope, and an emphasis …

This paper provides some simple methods of interpreting the coefficients in multinomial logit
and ordered logit models. These methods are summarized in Propositions concerning the …

The reasons for using the first derivative to identify the effect of continuous independent
variables in a logit function are explained with simple examples and more mathematics than …

This paper presents methods for computing aggregate change in probabilities of a binary
dependent variable from changes in distributions of independent variables in logit and linear …

The parameters of logit models are typically difficult to interpret, and the applied literature is
replete with interpretive and computational mistakes. In this article, I review a menu of …

This article presents an expository discussion of the use of odds, odds ratios, and functions
of odds ratios as an aid to the interpretation of log-linear parameters. While there have been …

Logit Modeling represents a breakthrough for researchers because it offers ways for more
efficient estimation of models with multiple categorical variables, particularly whenever the …

This article develops a straightforward approach to the interpretation of the parameters in log-
linear models through a detailed consideration of examples. The focus is on models …

Unnecessarily awkward procedures for interpreting logit coefficients in terms of odds-ratios
or ratios of odds-ratios appear in sociological research. Because odds-ratios are not linearly …