One step beyond emotional intelligence measurement in the career development of adult learners: A bifactor exploratory structural equation modeling framework

2021 ◽  
Author(s):  
Thomas Pirsoul ◽  
Michaël Parmentier ◽  
Frédéric Nils
Keyword(s):  
Emotional Intelligence ◽  
Structural Equation Modeling ◽  
Career Development ◽  
Adult Learners ◽  
Structural Equation ◽  
Equation Modeling ◽  
Modeling Framework ◽  
Exploratory Structural Equation Modeling ◽  
One Step

Measuring and Comparing Physical Education Teachers’ Perceived Attributes of CSPAPs: An Innovation Adoption Perspective

2020 ◽  
Vol 39 (1) ◽  
pp. 78-90 ◽  
Author(s):  
Collin A. Webster ◽  
Diana Mîndrilă ◽  
Chanta Moore ◽  
Gregory Stewart ◽  
Karie Orendorff ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Public Schools ◽  
Physical Education ◽  
Structural Equation ◽  
The United States ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Physical Education Teachers ◽  
Modeling Framework ◽  
Exploratory Structural Equation Modeling

Purpose: Drawing from the diffusion of innovations theory, this study aimed to develop a survey to measure physical education teachers’ perceived attributes of comprehensive school physical activity programs (CSPAPs) and examine the differences between adopters’ and potential adopters’ perceived attributes. Method: The authors created an electronic survey and e-mailed it to 2,955 physical education teachers identified from a random sample of all public schools in the United States. The participants’ (N = 407) responses were analyzed using the exploratory structural equation modeling framework. Results: The exploratory structural equation modeling yielded five factors: (a) compatibility, (b) relative advantage, (c) observability, (d) simplicity, and (e) trialability (χ2/df = 3.2; root mean square error of approximation = .074; comparative-fit index = .983; Tucker–Lewis index = .971; weighted root mean residual = .668). Compared with potential adopters, teachers who had already adopted a CSPAP perceived CSPAPs as simpler to implement but less trialable. Discussion/Conclusion: This study advances the measurement for CSPAP implementation and offers insight into program attributes that merit a targeted focus in efforts to increase CSPAP adoption.

Using Bifactor Exploratory Structural Equation Modeling to Test for a Continuum Structure of Motivation

2016 ◽  
Vol 44 (7) ◽  
pp. 2638-2664 ◽  
Author(s):  
Joshua L. Howard ◽  
Marylène Gagné ◽  
Alexandre J. S. Morin ◽  
Jacques Forest
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Self Regulation ◽  
Self Determination ◽  
Equation Modeling ◽  
Modeling Framework ◽  
Exploratory Structural Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Workplace Motivation ◽  
Continuum Structure

This paper explores the nature of workplace motivation by testing the continuum structure of motivation proposed by self-determination theory through the application of relatively new and advanced methodological techniques. Specifically, we demonstrate the usefulness of the overarching bifactor exploratory structural equation modeling framework in organizational psychology and discuss implications of such models over more traditional confirmatory factor analyses. This framework is applied to responses obtained from 1,124 Canadian employees who completed a multidimensional measure of workplace motivation. The results support a continuum of self-regulation and illustrate the importance of accounting for quality of motivation in addition to its global quantity. Indeed, the results showed that specific types of motivation explained variance in covariates over and above the variance already explained by the global quantity of self-determination. The current study further demonstrates the limitation of the commonly used relative autonomy index and offers alternate conceptualizations of human motivation.

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