Error in Variables: Analysis of Covariance Structure – Structural Equation Models

Pages: 297 - 348
Published: Jan 1, 2014
Abstract
In this chapter, we bring together the notions of measurement error discussed in Chaps. 3 and 4 with the structural modeling of simultaneous relationships presented in Chap. 6. We demonstrate that a bias is introduced when estimating the relationship between two variables measured with error if that measurement error is ignored. We then present a methodology for estimating the parameters of structural relationships between variables that are not...
Paper Details
Title
Error in Variables: Analysis of Covariance Structure – Structural Equation Models
Published Date
Jan 1, 2014
Journal
Pages
297 - 348
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.