475Thursday, April 2, 2009

4:30 PM-5:30 PMTampa Convention Center:14
AAPAR/Measurement & Evaluation Council
Analyzing Dyadic Data: Methods and Applications
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.
Keyword(s): assessment, measurement/evaluation
Presider: Marco S. Boscolo, University of Illinois at Urbana-Champaign, Urbana, IL
Speakers: Weimo Zhu and Marco S. Boscolo, University of Illinois at Urbana-Champaign, Urbana, IL; and Yong Gao, Boise State University, Boise, ID

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