Error in Variables – Analysis of Covariance Structure

Hubert Gatignon ()
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Hubert Gatignon: INSEAD, The Business School for the World

Chapter Chapter 10 in Statistical Analysis of Management Data, 2010, pp 253-293 from Springer

Abstract: Abstract In this chapter, we bring together the notions of measurement error discussed in Chapters 3 and 4 with the structural modeling of simultaneous relationships presented in Chapter 6. We will demonstrate that a bias is introduced when estimating the relationship between two variables measured with error if that measurement error is ignored. We will then present a methodology for estimating the parameters of structural relationships between variables which are not observed directly: analysis of covariance structures. We will discuss especially the role of the measurement model as discussed in the chapter on the confirmatory factor analytic model.

Keywords: Confirmatory Factor Analysis; Measurement Model; Covariance Structure; Canonical Correlation; Canonical Correlation Analysis (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4419-1270-1_10

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DOI: 10.1007/978-1-4419-1270-1_10

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