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Structural Equation Modeling A Multidisciplinary Journal is a peer-reviewed journal published by Taylor & Francis, covering Psychometric Methodologies and Testing, Statistical Methods and Bayesian Inference, Advanced Statistical Modeling Techniques.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Structural Equation Modeling A Multidisciplinary Journal 12 (3): 45–58.
Formats any DOI in Structural Equation Modeling A Multidisciplinary Journal style. No sign-up. |
| Publishes research in | Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Advanced Statistical Modeling Techniques Mental Health Research Topics Advanced Causal Inference Techniques |
| ISSN | 1070-5511 |
| Citation impact (2-yr) | 3 |
| h-index | 165 |
| i10-index | 986 |
| Total citations | 284,465 |
| Top institutions publishing here | Arizona State University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's…
Abstract Measurement invariance is usually tested using Multigroup Confirmatory Factor Analysis, which examines the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on a measurement model. Although many studies have examined the properties of GFI as indicators of overall model fit for single-group data, there have been none to date that examine…
Two Monte Carlo studies were conducted to examine the sensitivity of goodness of fit indexes to lack of measurement invariance at 3 commonly tested levels: factor loadings, intercepts, and residual variances. Standardized root mean square residual (SRMR) appears to be more sensitive to lack of invariance in factor loadings than in intercepts or residual variances.…
Abstract Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study population. This…
Goodness-of-fit (GOF) indexes provide "rules of thumb" - recommended cutoff values for assessing fit in structural equation modeling. Hu and Bender (1999) proposed a more rigorous approach to evaluating decision rules based on GOF indexes and, on this basis, proposed new and more stringent cutoff values for many indexes. This article discusses potential problems underlying…
