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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 Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of ...
Alexandre Morin, Gurvinder Kaur, Herbert W. Marsh   +2 more
exaly   +5 more sources

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

Advances in Psychological Science, 2013
Yujiao Mai
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

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.
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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
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The Eating Attitudes Test-26 Revisited using Exploratory Structural Equation Modeling

Journal of Abnormal Child Psychology, 2013
Most 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, Morin, Alexandre, Lanfranchi, Marie, Therme, Pierre   +3 more
openaire   +5 more sources

Using Exploratory Structural Equation Modeling to Examine Caregiver Distress and Its Contributors

Journal of the American Medical Directors Association
To develop and test the direct and indirect associations between caregiver distress and its many contributing factors and covariates.Analysis using data from a national, cross-sectional survey of Canadian caregivers.A total of 6502 respondents of the 2012 General Social Survey-Caregiving and Care-receiving who self-identified as a caregiver.We used ...
Sarina R Isenberg, Wenshan Li
exaly   +3 more sources

Exploratory Structural Equation Modeling Analysis of the Self-Compassion Scale

Mindfulness, 2016
The 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, Beáta Bőthe, Gábor Orosz   +2 more
openaire   +1 more source

Validity of the Breakup Strategies Questionnaire in Korea: Exploratory Structural Equation Modeling and Rasch's Modeling

Psychological Reports, 2017
This study examines the validity of the Korean implementation of the Breakup Strategies Questionnaire. In Study 1, the construct validity of the Breakup Strategies Questionnaire was explored with 292 Korean undergraduate students. Exploratory Structural Equation Modeling and Rasch's Modeling suggest 30 items with four factors (Avoidance/withdrawal ...
Dong-Gwi, Lee, Harim, Sohn, Byeong Hoon, Bae, Yoorim, Song   +3 more
openaire   +2 more sources