Evaluating agreement between clinical assessment methods

by Grant N. Marshall, Ron D. Hays, Ronald Nicholas


Purchase Print Copy

 FormatList Price
Add to Cart Paperback9 pages Free

In clinical assessment, it is necessary to determine the extent to which alternative measurement tools yield equivalent information. Using alcohol consumption data obtained from 187 clients of an impaired-driver treatment program, this paper assesses the equivalence of information collected by microcomputer and clinician interviews. First, methods by which equivalence is routinely assessed (i.e., product-moment correlation coefficients and t-scores associated with differences between group means) are evaluated, highlighting the limitations of these approaches. Second, structural equation modeling is examined as an underutilized analytic strategy for examining convergence. Third, the advantages and disadvantages of a relatively novel approach to assessing equivalence, i.e., examination of agreement at the individual level, are discussed. Finally, a general strategy for establishing extent of agreement is recommended.

Originally published in: International Journal of Methods in Psychiatric Research, v. 4, 1994, pp. 249-257 .

This report is part of the RAND Corporation Reprint series. The Reprint was a product of the RAND Corporation from 1992 to 2011 that represented previously published journal articles, book chapters, and reports with the permission of the publisher. RAND reprints were formally reviewed in accordance with the publisher's editorial policy and compliant with RAND's rigorous quality assurance standards for quality and objectivity. For select current RAND journal articles, see External Publications.

Our mission to help improve policy and decisionmaking through research and analysis is enabled through our core values of quality and objectivity and our unwavering commitment to the highest level of integrity and ethical behavior. To help ensure our research and analysis are rigorous, objective, and nonpartisan, we subject our research publications to a robust and exacting quality-assurance process; avoid both the appearance and reality of financial and other conflicts of interest through staff training, project screening, and a policy of mandatory disclosure; and pursue transparency in our research engagements through our commitment to the open publication of our research findings and recommendations, disclosure of the source of funding of published research, and policies to ensure intellectual independence. For more information, visit www.rand.org/about/research-integrity.

The RAND Corporation 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.