Exploratory structural equation modeling.

By Alexandre J. S. Morin, Herbert W. Marsh, Benjamin Nagengast. 2013

674 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bc6b8319d78574bbe3fb6dce794c69d399d6a426

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Citations in the corpus

The Social Media Disorder Scale (2016, unknown): “We used structural equation modeling (SEM) with weighted least squares estimators to test these second-order factor models using CFA in MPlus (Asparouhov & Muth (cid:2) en, 2009).”
A review and empirical comparison of motivation scoring methods: An application to self-determination theory (2020, unknown): “ESEM combines the benefits of traditional CFA and EFA procedures (Asparouhov and Muthén 2009; Marsh et al.”
Development of Indirect Measures of Conscientiousness: Combining a Facets Approach and Network Analysis (2015, unknown): “Although SEM have been adapted to incorporate exploratory measurement models (Asparouhov & Muthén, 2009; Marsh, Morin, Parker & Kaur, 2014), such techniques are generally more appropriate for confirmatory research (i.e. with preregistered hypotheses), while in exploratory settings, they often allow…”
Complementary Variable- and Person-Centered Approaches to the Dimensionality of Psychometric Constructs: Application to Psychological Wellbeing at Work (2016, unknown): “…2014; Morin et al. 2013), making possible the use of EFA factors in predictions, tests of measurement invariance, etc. Likewise, it is now possible to rely on a confirmatory approach to the estimation of EFA/ESEM models through the use of target rotation (Asparouhov and Muthén 2009; Browne 2001).”
The relations between implicit intelligence beliefs, autonomous academic motivation, and school persistence intentions: a mediation model (2015, result): “Most importantly, these results are in line with those from previous ESEM studies in showing the importance of regularly comparing ESEM and CFA solutions (Marsh et al. 2011; Morin et al. 2013).”
Assessing students’ experiences of teaching–learning environments and approaches to learning: Validation of a questionnaire in different countries and varying contexts (2013, unknown): “Because the CFA led to difficulties in obtaining convergence in the modelling process, exploratory structural equation modelling (ESEM), which allows less restrictive measurement models to be used (Asparouhov and Muthén 2009; Marsh et al. 2009), was chosen.”
The Development and Validation of the State Self-Compassion Scale (Long- and Short Form) (2020, methodology): “Despite the word “exploratory” in the name of this approach, bifactor-ESEM can be used in both an exploratory and confirmatory manner (Morin et al. 2013).”
Application of Exploratory Structural Equation Modeling to Evaluate the Academic Motivation Scale (2015, unknown): “…(iii) all rotated loadings are freely estimating pending regular ESEM constraints on the non-rotated solution required for factor identification (see Asparouhov & Muthén, 2009, Morin et al., 2013); (iv) the factor variances are all fixed to 1; (v) the first two thresholds for one referent…”
A Comparison of CFA, ESEM, and BSEM in Test Structure Analysis (2019, unknown): “Furthermore, previous comparison research examined the standard CFA model only (e.g. Marsh et al., 2005; Morin et al., 2013) and had not considered the nonstandard CFA model that allowed for nonzero cross-loadings.”
The dualistic model of passion for work: Discriminate and predictive validity with work engagement and workaholism (2015, unknown): “In fact, not incorporating nonzero crossloadings can significantly bias relationships among the factors, usually resulting in overestimated factor correlations (e.g. Asparouhov & Muthén, 2009; Marsh et al., 2009; Marsh et al., 2013).”
Cross-validation of the short form of the physical self-inventory (PSI-S) using exploratory structural equation modeling (ESEM) (2011, methodology): “…studies apparently confirm that EFA models are better at recovering true population latent correlations and that CFA-based latent correlations can be severely inflated by the presence of few small cross-loadings erroneously fixed to 0 (Asparouhov & Muthén, 2009; Marsh et al., under review).”
Revisiting the Empirical Distinction Between Hedonic and Eudaimonic Aspects of Well-Being Using Exploratory Structural Equation Modeling (2016, methodology): “This statistical procedure, developed by Asparouhov and Muthen (2009), is an integration of Exploratory Factor Analysis and CFA approaches.”