Elaborations
When dyad members are distinguishable (e.g., boss and employee) and the analysis uses the logistic or probit function, the researcher is implicitly assuming that there is homogeneity of unexplained variance in the errors or residuals. See Allison (Allison, P. D. (1999). “Comparing logit and probit
coefficients across groups. ”Sociological Methods and Research, 28, 186-208.)for more details.
There is a recently published paper on using SAS's PROC NLMIXED with dyads: McMahon, J. M., Pouget, E. R., & Tortu, S. (2006). A guide for multilevel modeling of dysdic data with bianry outcomes using SAS PROC MIXED.Computational Statistics and Data Analysis, 50, 3663-3680.
