Abstract
There are two fundamentally different ways of performing a causal analysis: Simultaneous methods (e.g. LISREL) or the successive use of the “traditional” methods of factor analysis and regression analysis. In this paper, the investigation of both alternatives in a Monte Carlo study shows that there are advantages and disadvantages of both methods. However, when applied simultaneously on the same data, they may complement each other in an efficient way. Furthermore, in the study are compared the estimation methods in both cases, regarding the criteria robustness and quality of estimation.
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© 1991 Springer-Verlag Berlin · Heidelberg
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Benz, J. (1991). Causal Analysis in Marketing Research with LISREL or a Combination of Traditional Multivariate Methods?. In: Bock, HH., Ihm, P. (eds) Classification, Data Analysis, and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76307-6_12
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DOI: https://doi.org/10.1007/978-3-642-76307-6_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-53483-9
Online ISBN: 978-3-642-76307-6
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