A Parametric Analysis of Structured and Unstructured Q-Sort Data.

Abstract

The operation of sorting the items of a Q-set according to their similarity to a given object is idealized by a system of axioms. As a consequence of this axiom system, a stochastic model of Q-sorting behavior is derived. This model, with its associated axioms, resembles in some respects the preference model of Luce; the two are compared at length.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 09, 1981
Accession Number
ADA102169

Entities

People

  • William D. Heavlin

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Asymptotic Normality
  • California
  • Data Science
  • Factor Analysis
  • Factorial Design
  • Information Science
  • Maximum Likelihood Estimation
  • Multivariate Analysis
  • New York
  • Normality
  • Personality Assessment
  • Probability
  • Psychology
  • Statistical Analysis
  • Statistics
  • Surveys

Readers

  • Artificial Intelligence
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Mathematical Modeling and Probability Theory.