Session: Analyzing Dyadic Data: Methods and Applications (2009 AAHPERD National Convention and Exposition (March 31

Thursday, April 2, 2009: 4:30 PM-5:30 PM

Tampa Convention Center: 14

AAPAR/Measurement & Evaluation Council

Presider:	Marco S. Boscolo, University of Illinois at Urbana-Champaign, Urbana, IL
Speakers:	Weimo Zhu¹; Marco S. Boscolo¹; and Yong Gao², (1)University of Illinois at Urbana-Champaign, Urbana, IL, (2)Boise State University, Boise, ID

Dyad relationships involve a link between a pair of individuals where one individual’s response is not independent of the other’s response (non-independence). Due to non-independence, conventional statistical methods may lead to incorrect statistical conclusions. The purpose of this symposium is to introduce dyad data structure, design, and analysis; describe what happens when non-independence is ignored, and demonstrate how advance statistical methods, such as hierarchical linear modeling, can be used to analyze dyadic data.

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