Results 221 to 230 of about 352,100 (260)

Revisiting after-class boredom via exploratory structural equation modeling

International Review of Applied Linguistics in Language Teaching, 2023
Boredom has recently become the subject of inquiry in L2 studies, which has resulted, among others, in the development and validation of several boredom-measuring scales, mostly through exploratory factor analysis (EFA) and confirmatory factor analysis ...
M. Pawlak, Mehdi Solhi, Majid Elahi Shirvan, Mariusz Kruk, Tahereh Taherian   +4 more
semanticscholar   +1 more source

The bifactor structure of the Self-Compassion Scale: Bayesian approaches to overcome exploratory structural equation modeling (ESEM) limitations.

Psychological Assessment, 2023
The rapidly expanding self-compassion research is driven mainly by Neff's (2003a, 2003b, 2023) six-factor Self-Compassion Scale (SCS). Despite broad agreement on its six-first-order factor structure, there is much debate on SCS's global structure (one ...
H. Marsh, M. Fraser, Arman Rakhimov, Joseph Ciarrochi, Jiesi Guo   +4 more
semanticscholar   +1 more source

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

Sensitivity of Fit Measures to Lack of Measurement Invariance in Exploratory Structural Equation Modeling

Structural Equation Modeling: A Multidisciplinary Journal, 2021
Exploratory structural equation modeling (ESEM) allows for the estimation of all cross-loadings, which leads to the number of parameters estimated substantially greater than that in conventional SEM.
Chunhua Cao, Xinya Liang
semanticscholar   +1 more source

Using Exploratory Structural Equation Modeling to Investigate the Construct Validity of the Critical Thinking Disposition Scale

Journal of Psychoeducational Assessment, 2021
One of the primary goals of higher education is to enhance students’ critical thinking skills as they work to complete their program of study. As such, it is for critical educators and academic program coordinators to have access to assessment tools that
Christopher L. Thomas, A. Hayes
semanticscholar   +1 more source

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

Burnout–Depression Overlap: Exploratory Structural Equation Modeling Bifactor Analysis and Network Analysis

Assessment (Odessa, Fla.), 2020
Burnout has been viewed as a work-induced condition combining exhaustion, cynicism, and professional inefficacy. Using correlational analyses, an exploratory structural equation modeling bifactor analysis, structural regression analyses, and a network ...
J. Verkuilen, R. Bianchi, I. Schonfeld, É. Laurent   +3 more
semanticscholar   +1 more source

Coaching Efficacy and Exploratory Structural Equation Modeling: A Substantive-Methodological Synergy

Journal of Sport and Exercise Psychology, 2011
The purpose of this article was to provide a substantive-methodological synergy of potential importance to future research in sport and exercise psychology. The substantive focus was to improve the measurement of coaching efficacy by developing a revised version of the coaching efficacy scale (CES) for head coaches (N = 557) of youth sport teams (CES ...
Nicholas D, Myers, Melissa A, Chase, Scott W, Pierce, Eric, Martin   +3 more
openaire   +2 more sources

Asymptotic Biases in Exploratory Factor Analysis and Structural Equation Modeling

Psychometrika, 2004
Formulas for the asymptotic biases of the parameter estimates in structural equation models are provided in the case of the Wishart maximum likelihood estimation for normally and nonnormally distributed variables. When multivariate normality is satisfied, considerable simplification is obtained for the models of unstandardized variables.
openaire   +1 more source