The Impact of Non-Normality and Estimation Methods in SEM on Satisfaction Research in Marketing

By Tor Wallin Andreassen, Bengt G. Lorentzen, U. Olsson. 2006

50 citations recorded by the source corpus.

Subfields: Food Science, Organizational Behavior and Human Resource Management, Social Psychology

View Paper: https://www.semanticscholar.org/paper/889330d637915d881258f5670940f5a4c662e28b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Patricia L. Mokhtarian

In Organizational Behavior and Human Resource Management

1. R. Johnston
2. D. Ory
3. Shengyi Gao
4. Patricia L. Mokhtarian

In Social Psychology

1. Patricia L. Mokhtarian
2. P. Singleton
3. Oliver Smith
4. J. De Vos

Citations in the corpus

• The impact of non-normality, sample size and estimation technique on goodness-of-fit measures in structural equation modeling: evidence from ten empirical models of travel behavior (2010, background): “This analysis also rigorously examines the “fit” of each of our model specifications, which has the potential to either increase or decrease our confidence in the model results (Andreassen et al. 2006).”
• Nonnormality of Data in Structural Equation Models (2008, background): “To bring a sample closer to compliance, researchers may transform the raw data (5, 6, 7) or delete the “outliers” (1) which contribute most strongly to the departure from the normal distribution and distort the covariance matrix (8, 9).”
• Non-normality of Data in Structural Equation Models (2008, background): “To bring a sample closer to compliance, researchers may transform the raw data (5, 6, 7) or delete the “outliers” (1) which contribute most strongly to the departure from the normal distribution and distort the covariance matrix (8, 9).”