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Invited Symposium

Bootstrapping in Data Analysis: An Overview and Example Applications

Saturday, May 29, 2010, 10:30 AM - 11:50 AM
Hampton A - B

Andrew Hayes Chair: Andrew Hayes
Ohio State University

After an introductory overview of bootstrapping as an inferential data analysis tool, specific applications of bootstrapping are described and compared to more commonly use methods. Applications discussed include the estimation of intervening variable effects in path and multilevel models, factor analysis and latent variable modeling, and comparisons between groups in experimental and nonexperimental research designs.

Li Cai

Li Cai
University of California, Los Angeles

Keenan Pituch

Keenan Pituch
University of Texas at Austin

Joseph Rodgers

Joseph Rodgers
University of Oklahoma

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