Testing Structural Equation Models or Detection of Misspecifications?
By Willem E. Saris, A. Satorra, W. M. van der Veld. 2009
673 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/9bc3694faafe86cae29e5f97af4f245e587e3855
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In Management Science and Operations Research
- Eldad Davidov
- Jan Cieciuch
- Victoria Savalei
- Thomas A. Schmitt
- Tiffany A. Whittaker
- J. Perry
- A. Nicholls
- Peter J. Clough
Citations in the corpus
- Relationships Between Identity and Well-Being in Italian, Polish, and Romanian Emerging Adults (2014, background): “According to Saris et al. (2009), v could be affected by sample size, so it should not be used as the only indicator for model comparisons.”
- Toward an Integrative and Fine-Grained Insight in Motivating and Demotivating Teaching Styles: The Merits of a Circumplex Approach (2019, methodology): “Therefore, we relied on the procedure suggested by Saris, Satorra, and van der Veld (2009), using the expected parameter change (EPC) in combination with the modification index (MI) and the power of the MI test to detect model misspecifications.”
- Sensitivity of SEM Fit Indexes With Respect to Violations of Uncorrelated Errors (2012, methodology): “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 ”
- Using the Modification Index and Standardized Expected Parameter Change for Model Modification (2012, methodology): “…(d) the number of times the SEPC value for the fixed intercorrelation between factors was greater than the recommended cutoff of .20 suggested by Saris et al. (2009); and (e) the number of times the MI associated with the factor intercorrelation was statistically significant (p < .05) and the…”
- The Comparability of Measurements of Attitudes toward Immigration in the European Social Survey Exact versus Approximate Measurement Equivalence (2015, positive): “However, as shown in the next section, the results of the analyses using Jrule indicated misspecifications for two or even three items in several countries.”
- MEASUREMENT INVARIANCE OF A REFINED VALUES SCALE 1 Running Head : MEASUREMENT INVARIANCE OF A REFINED VALUES SCALE The Cross-National Invariance Properties of a New Scale to Measure 19 Basic Human Values . A Test across Eight Countries (2014, methodology): “We used the Jrule program (Oberski, 2009; Saris et al., 2009) to detect local misspecifications of the parameters in the model.”
- Assessing Model Fit: Caveats and Recommendations for Confirmatory Factor Analysis and Exploratory Structural Equation Modeling (2015, methodology): “However, as initially observed by Bentler and Bonett (1980) and many thereafter (e.g., Saris et al., 2009), because this statistic is sensitive to sample size, it will reject models that have only a trivial misspecification, thus leading to increased type II error.”
- The Relationship Between Root Mean Square Error of Approximation and Model Misspecification in Confirmatory Factor Analysis Models (2012, methodology): “The existence of ‘‘incidental parameters,’’ that is, variables that affect a fit index that are not the size of the omitted parameter (Saris et al., 2009), makes the idea of universal cutoffs for any fit index problematic.”