Error in Variables: Analysis of Covariance Structure – Structural Equation Models
作者： Hubert Gatignon
DOI: 10.1007/978-1-4614-8594-0_10
关键词:
摘要: In this chapter, we bring together the notions of measurement error discussed in Chaps. 3 and 4 with structural modeling simultaneous relationships presented Chap. 6. We demonstrate that a bias is introduced when estimating relationship between two variables measured if ignored. then present methodology for parameters are not observed directly: analysis covariance structures. focus on role model as confirmatory factor analytic model.
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