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	Social Relations Model	Round-Robin Design
Campo	Psicologia sociale	Psicologia sociale
Famiglia	Regression model	Process / pipeline
Anno di origine	2006	2006
Ideatore	David A. Kenny and colleagues	Dyadic methodology (Kenny and colleagues)
Tipo	Variance-decomposition model for dyadic data	Data-collection design for dyadic data
Fonte seminale	Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic Data Analysis. Guilford Press. ISBN: 9781572309869	Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic Data Analysis. Guilford Press. ISBN: 9781572309869
Alias	SRM, Kenny Social Relations Model, Round-Robin Variance Partition	Round-Robin Dyadic Design, All-with-All Rating Design, Block-Round-Robin Design
Correlati	3	3
Sintesi	The Social Relations Model (SRM), developed by David Kenny and colleagues, is a variance-decomposition framework for analyzing interpersonal perception and behavior in groups. When every member of a group rates (or behaves toward) every other member in a round-robin design, each rating reflects three distinct sources: the perceiver's general tendency to see others a certain way (actor effect), the target's general tendency to be seen that way by others (partner effect), and the unique adjustment a particular perceiver makes for a particular target (relationship effect), plus error. The SRM partitions the total variance into these components and estimates two kinds of reciprocity -- generalized (do people who like others tend to be liked?) and dyadic (do specific pairs uniquely reciprocate?). By separating the perceiver, the target, and their unique relationship, the SRM answers fundamental questions about whether interpersonal judgments lie in the eye of the beholder, the qualities of the person judged, or the chemistry of the dyad.	The round-robin design is a data-collection structure for dyadic research in which every member of a group interacts with, or provides ratings of, every other member, generating the full set of directed pairwise observations. Because each person serves repeatedly as both perceiver and target, the design produces the crossed data structure required to apply the Social Relations Model and to separate perceiver, target, and relationship effects. Round-robin designs are used to study interpersonal perception, attraction, behavior, and reciprocity in groups, families, and teams, and variants such as the block design (members of one set rate members of another) and half-block designs adapt the logic to different settings. The round-robin design is thus the data-gathering counterpart to the analytic models of dyadic data, and the quality of its structure determines what interpersonal questions can be answered.