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Round-Robin Design/Evidence
Method evidence record

Round-Robin Design

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Round-Robin Dyadic Design
Taxonomic method record · process-pipeline / social-psychology
  • Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic Data Analysis. Guilford Press. · ISBN 9781572309869
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Used in the same domainActor-Partner Interdependence Modelmachine-suggested · Relational suggestion, not evidence.Same method familyMinimal Group Paradigmmachine-suggested · Relational suggestion, not evidence.Used in the same domainSocial Relations Modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

1 recorded citation, copied from the method source record.

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