Optimal Sequential Designs for On-Line Item Estimation

Abstract

Replenishing item pools for one-line ability testing requires innovative and efficient data collection designs. Based on a theoretical framework for generating exact D-optimal-designs for selecting individual examinees, and for consistently estimating item parameters, this article presents a sequential procedure for on line item calibration. These procedures were derived for general, dichotomous item response models, using Welch (1982) for exact n-point D-optimal designs and Stefanski and Carroll (1985) for consistent estimators. In simulations, these designs appear to be considerably more efficient than random seeding of items.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1991
Accession Number
ADA242933

Entities

People

  • Douglas H. Jones

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Calibration
  • Computer Programming
  • Estimators
  • Experimental Design
  • Governments
  • Manpower
  • Mathematical Programming
  • Measurement
  • Military Research
  • Normal Distribution
  • Probability
  • Probability Distributions
  • Simulations
  • Test And Evaluation
  • Training

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.