On the Merits of Orthogonalizing 1 On the Merits of Orthogonalizing Powered and Product Terms : Implications for Modeling Interactions among Latent Variables

@inproceedings{Littlea2006OnTM,
  title={On the Merits of Orthogonalizing 1 On the Merits of Orthogonalizing Powered and Product Terms : Implications for Modeling Interactions among Latent Variables},
  author={Todd D. Littlea and James A. Bovairda},
  year={2006}
}
  • Todd D. Littlea, James A. Bovairda
  • Published 2006
The goals of this report are two-fold: (a) briefly highlight the merits of residual centering for representing interaction and powered terms in standard regression contexts (e.g., Lance, 1988) and (b) extend the residual centering procedure to represent latent variable interactions. The proposed method for representing latent variable interactions has potential advantages over extant procedures. First, the latent variable interaction is derived from the observed covariation pattern among all… CONTINUE READING

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