SPSS programs for the measurement of nonindependence in standard dyadic designs.
Dyadic research is becoming more common in the social and behavioral sciences. The most common dyadic design is one in which two persons are measured on the same set of variables. Very often, the first analysis of dyadic data is to determine the extent to which the responses of the two persons are correlated-that is, whether there is nonindependence in the data. We describe two user-friendly SPSS programs for measuring nonindependence of dyadic data. Both programs can be used for distinguishable and indistinguishable dyad members. Inter1.sps is appropriate for interval measures. Inter2.sps applies to categorical variables. The SPSS syntax and data files related to this article may be downloaded as supplemental materials from brm.psychonomic-journals.org/content/supplemental.
Alferes
Valentim R
VR
University of Coimbra, Coimbra, Portugal. valferes@fpce.uc.pt.
Kenny
David A
DA
University of Connecticut, Storrs, Connecticut.
D001525:Behavioral Sciences / Q000706:statistics & numerical data*; D016001:Confidence Intervals; D006801:Humans; D008960:Models, Psychological