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A Systematic Evaluation and Comparison Between Exploratory Structural Equation Modeling and Bayesian Structural Equation Modeling

Structural Equation Modeling, 2019
In this study, we contrast two competing approaches, not previously compared, that balance the rigor of CFA/SEM with the flexibility to fit realistically complex data.
Jiesi Guo, Herbert W Marsh, Philip D Parker   +2 more
exaly   +4 more sources

Exploratory Structural Equation Modeling: An Integration of the Best Features of Exploratory and Confirmatory Factor Analysis

Annual Review of Clinical Psychology, 2014
Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research. Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of ...
Herbert W Marsh, Alexandre J S Morin, Philip D Parker   +2 more
exaly   +5 more sources

Comparing Exploratory Structural Equation Modeling and Existing Approaches for Multiple Regression with Latent Variables

Structural Equation Modeling, 2018
Exploratory structural equation modeling (ESEM) is an approach for analysis of latent variables using exploratory factor analysis to evaluate the measurement model. This study compared ESEM with two dominant approaches for multiple regression with latent
Yujiao Mai, Zhiyong Zhang
exaly   +2 more sources

Exploratory Structural Equation Modeling (ESEM): An Integration of EFA and CFA

Advances in Psychological Science, 2013
Yujiao Mai, Zhonglin Wen
exaly   +2 more sources

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Exploratory Latent Growth Models in the Structural Equation Modeling Framework

Structural Equation Modeling: A Multidisciplinary Journal, 2013
Latent growth modeling is often conducted using a confirmatory approach whereby specific structures of individual change (e.g., linear, quadratic, exponential, etc.) are fit to the observed data, the best fitting model is chosen based on fit statistics and theoretical considerations, and parameters from this model are interpreted.
Kevin J. Grimm, Joel S. Steele, Nilam Ram, John R. Nesselroade   +3 more
openaire   +1 more source

Cultural, social, and economic capital constructs in international assessments: an evaluation using exploratory structural equation modeling [PDF]

School Effectiveness and School Improvement, 2014
The article employs exploratory structural equation modeling (ESEM) to evaluate constructs of economic, cultural, and social capital in international large-scale assessment (LSA) data from the Progress in International Reading Literacy Study (PIRLS) 2006
Daniel H Caro, Andres Sandoval-Hernández, Oliver Ludtke   +2 more
exaly   +2 more sources

The structure of student engagement in online learning: A bi‐factor exploratory structural equation modelling approach

Journal of Computer Assisted Learning, 2021
Abstract Enhancing student engagement plays a critical role in reducing student drop‐out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure.
Vo Ngoc Hoi, Ho Le Hang
openaire   +2 more sources