Quantitative methods for the analysis of observer agreement: toward a unifying model

John Uebersax

ResearchPublished 1991

This paper reviews a variety of recently proposed models for the analysis of observer agreement. The discussion includes latent class and latent trait models, signal detection theory models, item response and Rasch models, association and quasi-symmetry models, and methods based on correspondence analysis and multidimensional scaling. Advantages and limitations of each approach are discussed and particular attention is paid to relationships among the approaches. Relationships between these approaches and the kappa coefficient are also observed. The paper concludes with a discussion of the general requirements for a general model for the analysis of observer agreement and suggests possible directions for further research in this area.

Order a Print Copy

Format
Paperback
Page count
37 pages
List Price
$20.00
Buy link
Add to Cart

Document Details

  • Copyright: RAND Corporation
  • Availability: Available
  • Year: 1991
  • Print Format: Paperback
  • Paperback Pages: 37
  • Paperback Price: $20.00
  • Paperback ISBN/EAN: 978-0-8330-1931-8
  • Document Number: P-7686

Citation

RAND Style Manual
Uebersax, John, Quantitative methods for the analysis of observer agreement: toward a unifying model, RAND Corporation, P-7686, 1991. As of October 12, 2024: https://www.rand.org/pubs/papers/P7686.html
Chicago Manual of Style
Uebersax, John, Quantitative methods for the analysis of observer agreement: toward a unifying model. Santa Monica, CA: RAND Corporation, 1991. https://www.rand.org/pubs/papers/P7686.html. Also available in print form.
BibTeX RIS

This publication is part of the RAND paper series. The paper series was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.