Testing! testing! one, two, three - Testing the theory in structural equation models!

By L. Hayduk, G. Cummings, Kwame Boadu, Hannah Pazderka, Shelley Boulianne. 2007

397 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3b1ddaee8653a87e2b6f7cdcef4ad5b201fab4a0

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In Management Science and Operations Research

Citations in the corpus

An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models (2008, positive): “Hence, it is important to use other goodness-of-fit measures to inform global model fit and to attend to diagnostics for the sources of model misfit (Bentler 2007; Bollen and Long 1993; Hayduk et al. 2007; Tanaka 1993).”
Structural equation modelling: guidelines for determining model fit (2008, background): “Although the Model Chi-Square has many problems associated with it, it is still essential that this statistic, along with its degrees of freedom and associated p value, should at all times reported (Kline, 2005; Hayduk et al, 2007 ).”
Effects of different leadership styles on hospitality workers (2019, methodology): “Interpreting this result required taking into account that: 1) the Chi-square test assumed normal distribution of the data (an assumption that this data did not fulfill, based on the result of Mardia’s test) (Kline, 2005; Hayduk et al., 2007); 2) the test registers correlation magnitude (a larger co”
Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness? (2018, background): “Hayduk et al. (2007) emphasized this sentiment by stating that the goal when examining fit is to test the underlying theory represented by the model and to focus on the broader picture, where fit information is just one piece of the puzzle.”
The SAGE handbook of persuasion : developments in theory and practice (2012, background): “Jensen and Hurley’s (2005) study included what they called “presumed behavior” to explicitly capture the likelihood that others were thought to do something (such as talking about the issue or acting on the issue), and found that such presumed behaviors associated with different referent others had ”
Response to Leslie Hayduk’s Review of Principles and Practice of Structural Equation Modeling, 4th Edition (2018, background): “Specifically, he would reject the use of any other global fit statistic, especially approximate fit indexes (Hayduk et al. 2007), such as the root mean square error of approximation (RMSEA), among others.”
Evaluating Model Fit:a Synthesis of the Structural Equation Modelling Literature (2008, background): “Although the Model ChiSquare has many problems associated with it, it is still essential that this statistic, along with its degrees of freedom and associated p value, should at all times reported (Kline, 2005; Hayduk et al, 2007).”
Sensitivity of SEM Fit Indexes With Respect to Violations of Uncorrelated Errors (2012, background): “Nevertheless, given that (a) other parameter estimates can be seriously biased if even a small model violation can be observed, and (b) small values in the residual covariance matrix do not necessarily imply that the model misspecification is small (Hayduk et al., 2007; Hayduk & Glaser, 2000; Saris ”