This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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186
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #307838 |
Title:
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Generalized Structured Component Analysis with Latent Interactions
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Author(s):
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Heungsun Hwang*+ and Moon-Ho Ringo Ho and Jonathan Lee
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Companies:
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McGill University and Nanyang Technological University and California State University, Long Beach
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Address:
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, , H3A 1B1, Canada
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Keywords:
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Generalized structured component analysis ;
Structural equation modeling ;
Latent interaction
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Abstract:
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Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling. In practice, researchers may often be interested in examining the interaction effects of latent variables. However, GSCA has been geared only for the specification and testing of the main effects of variables. Thus, an extension of GSCA is proposed to deal with various types of interactions among latent variables. In the proposed method, a latent interaction is defined as a product of latent variables. As a result, this method does not require the construction of additional indicators for latent interactions. Moreover, it can easily accommodate both exogenous and endogenous latent interactions. An application is presented to demonstrate the usefulness of the proposed method.
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Authors who are presenting talks have a * after their name.
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