Hostname: page-component-745bb68f8f-lrblm Total loading time: 0 Render date: 2025-01-08T10:34:37.336Z Has data issue: false hasContentIssue false
  • English
  • Français

Round-Robin Analysis of Social Interaction: Exact and Estimated Standard Errors

Published online by Cambridge University Press:  01 January 2025

Charles F. Bond Jr.  and
Brian R. Lashley
Charles F. Bond Jr.*
Affiliation:
Texas Christian University
Brian R. Lashley
Affiliation:
Texas Christian University
*
Requests for reprints and an expanded version of this article should be sent to Charles F. Bond, Jr., Department of Psychology, Texas Christian University, Fort Worth, TX 76129. E-Mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Kenny has proposed a variance-components model for dyadic social interaction. His Social Relations model estimates variances and covariances from a round-robin of two-person interactions. The current paper presents a matrix formulation of the Social Relations model. It uses the formulation to derive exact and estimated standard errors for round-robin estimates of Social Relations parameters.

Keywords

random effects analysis of variancesocial interactiondyadic interaction
Type
Original Paper
Information
Psychometrika , Volume 61 , Issue 2 , June 1996 , pp. 303 - 311
Copyright
Copyright © 1996 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

We are grateful to George Gilbert for comments on an earlier draft.

References

Fienberg, S. E., Wasserman, S. S. (1981). Categorical data analysis of single sociometric relations. In Leinhardt, S. (Eds.), Sociological methodology 1981 (pp. 156–192). San Francisco: Jossey-Bass.Google Scholar
Kenny, D. A. (1983). SOREMO: A FORTRAN program for round-robin data structures. Unpublished manuscript, University of Connecticut.Google Scholar
Kenny, D. A. (1994). Interpersonal perception: A social relations analysis, New York: Guilford Press.Google ScholarPubMed
Kenny, D. A., La Voie, L. (1984). The social relations model. In Berkowitz, L. (Eds.), Advances in experimental social psychology (pp. 142–182). San Diego, CA: Academic Press.Google Scholar
Malley, J. D. (1986). Optimal unbiased estimation of variance components. Lecture notes in statistics (pp. 1–146). Berlin: Springer-Verlag.Google Scholar
Owen, D. B. (1965). The power of Student's t-test. Journal of the American Statistical Association, 60, 320–333.Google Scholar
Searle, S. R., Casella, G., McCulloch, C. E. (1992). Variance components, New York: John Wiley.CrossRefGoogle Scholar
Warner, R. M., Kenny, D. A., Stoto, M. (1979). A new round-robin analysis of variance for social interaction data. Journal of Personality and Social Psychology, 37, 1742–1757.CrossRefGoogle Scholar
Wong, G. Y. (1982). Round robin analysis of variance via maximum likelihood. Journal of the American Statistical Association, 77, 714–724.CrossRefGoogle Scholar