Probit analysis of preference data

Probit analysis of preference data

A probit analysis method is presented for the analysis of preference data from a behavioural assay of animals, where responses were observed as animals' cheice between the treatment and control sides or areas. Standard probit models designed for alt or nothing phenomena are not applicable topreflerence assays, because a leg dose metameter only indirectly correlates with the choice. The present ...

The Analysis of Bayesian Probit Regression of Binary and Polychotomous Response Data

The goal of this study is to introduce a statistical method regarding the analysis of specific latent data for regression analysis of the discrete data and to build a relation between a probit regression model (related to the discrete response) and normal linear regression model (related to the latent data of continuous response). This method provides precise inferences on binary and multinomia...

Probit Analysis

177 mental psychology wlherein deduced concepts and inductions from clinical observation are to be coml)ined in a comprehensive frame of reference within which psyclhological pheenomena in lhumans are to be understood. When a responise mlade by a living organism to a stimtultus must fall inlto one or the other of two mutually exclusive classes, it is knowvn as a quantal or all-or-nothing respon...

Probit Analysis

Interpreting Probit Analysis

Regression via ordinary least squares (OLS) is a commonly applied statistical technique in political science. However, when the dependent variable is dichotomous (0-1) rather than continuous, ordinary least squares becomes an inefficient estimation technique, and the underlying linear probability model (LPM) that is being estimated represents a poor apriori choice of model specification (Aldric...