A Stochastic Model for Paired Comparisons of Social Stimuli.

Abstract

A stochastic model for paired comparisons of multi-attribute social stimuli is proposed where one objective is to find the relative importance of the attributes for a judge. The model can be conceived as a special strict binary utility model, i.e. a BTL-model, and is related to the factorial model of Abelson and Bradley. The scale values of the stimuli are linear combinations of functions of the stimuli's attributes. The model does neither assume that the functions are fixed in advance nor that different judges have the same set of functions. The choice among such functions, however, is admitted only within a finite scope. Within the framework of exponential families, maximum likelihood estimators and tests are derived and applied to data coming from two psychological experiments. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1982
Accession Number
ADA119630

Entities

People

  • Axel Mattenklott
  • Joachim Sehr
  • Klaus-j. Miescke

Organizations

  • Purdue University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Computations
  • Distribution Functions
  • Equations
  • Estimators
  • Factorial Design
  • Inversion
  • Judgment
  • New York
  • Numerical Analysis
  • Psychology
  • Random Variables
  • Real Numbers
  • Statistics
  • United States
  • United States Government

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  • Regression Analysis.
  • Theoretical Analysis.