Foundations for the Mathematical Notion of Information in Item Response Theory and Robust Ability Estimation,

Abstract

Item response theory is an attempt to apply statistical theory and methdology to inferences about a subject's ability. This article describes an attempt to develop the concept of influence in item response theory that parallels a similar concept in robust theory in order that the methods of robust theory be better applied through the results may be ad hoc. Some of the progress in this direction has resulted in a new class (h-estimators) of robust estimators of ability and a systematic approach to the derivation of bias and variance formulas. Not only may these formulas be used for constructing confidence intervals for a subject's ability, they may be used to compare the efficiency of the h-estimators to that of the standard maximum likelihood estimator.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1981
Accession Number
ADP001396

Entities

People

  • Douglas H. Jones

Organizations

  • Educational Testing Service

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Continents
  • Efficiency
  • Estimators
  • Geographic Regions
  • Intervals
  • Mathematics
  • Standards
  • Virginia

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms