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    Please use this identifier to cite or link to this item: https://ir.fy.edu.tw:8080/ir/handle/987654321/1071

    Title: Structural Equation Models of Latent Interactions: Clarification of Orthogonalizing and Double-Mean- Centering Strategies
    Authors: Guan-Chyun Lin; Zhonglin Wen; Herbert W. Marsh; Huey-Shyan Lin
    Contributors: 輔英科技大學 共同教育中心 自然科學組
    Date: 2010-07-01
    Issue Date: 2010-09-24 13:56:54 (UTC+8)
    Abstract: The purpose of this investigation is to compare a new (double-mean-centering) strategy to estimating latent interactions in structural equation models with the (single) mean-centering strategy (Marsh, Wen, & Hau, 2004, 2006) and the orthogonalizing strategy (Little, Bovaird, & Widaman, 2006; Marsh et al., 2007). A key benefit of the orthogonalizing strategy is that it eliminated the need to estimate a mean structure as required by the mean-centering strategy, but required a potentially cumbersome 2-step estimation procedure. In contrast, the double-mean-centering strategy eliminates both the need for the mean structure and the cumbersome 2-stage estimation procedure. Furthermore, although the orthogonalizing and double-mean-centering strategies are equivalent when all indicators are normally distributed, the double-mean-centering strategy is superior when this normality assumption is violated. In summary, we recommend that applied researchers wanting to estimate latent interaction effects use the double-mean-centering strategy instead of either the single-mean-centering or orthogonalizing strategies, thus allowing them to ignore the cumbersome mean structure.
    Relation: Structural Equation Modeling 17(3),374-391
    Appears in Collections:[自然科學組] 期刊論文

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