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

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Use of Structural Equation Modeling in Tourism Research (2013, methodology): “…with respect to reporting of fit indices (Heene et al. 2011; Hu and Bentler 1998; Nye and Drasgow 2011; Williams and O’Boyle 2011), sample size issues, multivariate normality, and estimation methods (Iacobucci 2010; Ory and Mokhtarian 2010; Ryu 2011; Sun, Konold, and Fan 2011; Zhong and Yuan 2011).”
Destination loyalty: Effects of wine tourists’ experiences, memories, and satisfaction on intentions (2013, methodology): “Therefore, post hoc tests of the structural paths were conducted using the nonparametric bootstrap estimation technique employing 2000 replications (Williams and MacKinnon, 2008), consistent with current recommendations (Lei and Lomax, 2005; Ory and Mokhtarian, 2010).”
A higher-order model of consumer brand engagement and its impact on loyalty intentions (2015, background): “These values were deemed as not threatening normality (Ory and Mokhtarian, 2010).”