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Exploratory Latent Growth Models in the Structural Equation Modeling Framework
Structural Equation Modeling: A Multidisciplinary Journal, 2013Latent 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 +3 more
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The Eating Attitudes Test-26 Revisited using Exploratory Structural Equation Modeling
Journal of Abnormal Child Psychology, 2013Most previous studies have failed to replicate the original factor structure of the 26-item version of the Eating Attitudes Test (EAT-26) among community samples of adolescents. The main objective of the present series of four studies (n = 2178) was to revisit the factor structure of this instrument among mixed gender community samples of adolescents ...
Maiano, Christophe +3 more
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An Empirical Comparison of Exploratory Versus Conventional Structural Equation Modelling
2014In this paper we discuss two SEM approaches: an exploratory structural equation modelling based on a more liberalised and inductive philosophy versus the classical SEM based on the traditional hypothetical-deductive approach. We apply these two modelling techniques to data from a consumer survey and compare them based on several criteria, such as ...
Sørensen, Bjarne Taulo +1 more
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Coaching Efficacy and Exploratory Structural Equation Modeling: A Substantive-Methodological Synergy
Journal of Sport and Exercise Psychology, 2011The 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 +3 more
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Assessment, 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 analysis, we examined the claim that burnout should not be mistaken for a depressive syndrome.
Jay Verkuilen +3 more
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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 analysis, we examined the claim that burnout should not be mistaken for a depressive syndrome.
Jay Verkuilen +3 more
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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 ...
Marsh, Herbert W. (R8137) +3 more
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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 ...
Marsh, Herbert W. (R8137) +3 more
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Asymptotic Biases in Exploratory Factor Analysis and Structural Equation Modeling
Psychometrika, 2004Formulas 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.
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Exploratory Structural Equation Modeling Analysis of the Self-Compassion Scale
Mindfulness, 2016The present research investigated the construct validity and psychometric properties of the Self-Compassion Scale (SCS) with a new and advanced statistical procedure, exploratory structural equation modeling (ESEM), in order to contribute to the ongoing discussion about its dimensionality by employing a bifactor-ESEM framework.
István Tóth-Király +2 more
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Advancing operations management theory using exploratory structural equation modelling techniques
International Journal of Production Research, 2009The structural equation modelling (SEM) technique has been touted as a useful tool for tightening links between theoretical and empirical operations management (OM) research. Despite SEM's increasing prominence in the field, leading scholars continue to call for a deeper infusion of theory into empirical OM research.
Nicholas Roberts +2 more
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Personality and Individual Differences, 2018
Abstract The five Cs model of positive youth development describes adolescents' development as reflecting five distinct but related domains of Competence, Confidence, Character, Connection, and Caring. This research used confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) to test the five Cs model in a Chinese ...
Bin-Bin Chen +2 more
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Abstract The five Cs model of positive youth development describes adolescents' development as reflecting five distinct but related domains of Competence, Confidence, Character, Connection, and Caring. This research used confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) to test the five Cs model in a Chinese ...
Bin-Bin Chen +2 more
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