Supplemental Material for An Exploratory Structural Equation Modeling Bi-Factor Analytic Approach to Uncovering What Burnout, Depression, and Anxiety Scales Measure

2019 ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Analytic Approach ◽  
Equation Modeling ◽  
Depression And Anxiety ◽  
Exploratory Structural Equation Modeling ◽  
Factor Analytic Approach ◽  
Factor Analytic

scholarly journals A Correlational Analysis of the Relationships among Intolerance of Uncertainty, Anxiety Sensitivity, Subjective Sleep Quality, and Insomnia Symptoms

2019 ◽  
Vol 16 (18) ◽  
pp. 3253 ◽  
Author(s):  
Marco Lauriola ◽  
R. Nicholas Carleton ◽  
Daniela Tempesta ◽  
Pierpaolo Calanna ◽  
Valentina Socci ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Sleep Quality ◽  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Sleep Problems ◽  
Intolerance Of Uncertainty ◽  
Equation Modeling ◽  
Sensitivity Index ◽  
Depression And Anxiety ◽  
Insomnia Severity

In this study, we used structural equation modeling to investigate the interplay among Intolerance of Uncertainty (IU), Anxiety Sensitivity (AS), and sleep problems. Three hundred undergraduate students completed the Intolerance of Uncertainty Scale, the Intolerance of Uncertainty Inventory, the Anxiety Sensitivity Index, the Beck Depression Inventory, the State-Trait Anxiety Inventory, the Pittsburgh Sleep Quality Index and the Insomnia Severity Index. 68% and 40% of the students reported poor sleep quality or sub-threshold insomnia problems, respectively. Depression and anxiety levels were above the cut-off for about one-fourth of the participants. Structural equation modeling revealed that IU was strongly associated with AS, in turn influencing both insomnia severity and sleep quality via depression and anxiety. Significant indirect effects revealed that an anxious pathway was more strongly associated with insomnia severity, while a depression pathway was more relevant for worsening the quality of sleep. We discussed the results in the frameworks of cognitive models of insomnia. Viewing AS and IU as antecedents of sleep problems and assigning to AS a pivotal role, our study suggested indications for clinical interventions on a population at risk for sleep disorders.

Is Self-Compassion Universal? Support for the Measurement Invariance of the Self-Compassion Scale Across Populations

Assessment ◽  
2020 ◽  
Vol 28 (1) ◽  
pp. 169-185 ◽  
Author(s):  
István Tóth-Király ◽  
Kristin D. Neff
Keyword(s):  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Secondary Data ◽  
The Self ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Self Compassion ◽  
Wide Range ◽  
Compassion Scale

The Self-Compassion Scale (SCS) is a widely used measure to assess the trait of self-compassion, and, so far, it has been implicitly assumed that it functions the same way across different groups. This assumption needs to be explicitly tested to ascertain that no measurement biases exist. To address this issue, the present study sought to systematically examine the generalizability of the bifactor exploratory structural equation modeling operationalization of the SCS via tests of measurement invariance across a wide range of populations, varying according to features such as student or community status, gender, age, and language. Secondary data were used for this purpose and included a total of 18 samples and 12 different languages ( N = 10,997). Multigroup analyses revealed evidence for the configural, weak, strong, strict, and latent variance–covariance of the bifactor exploratory structural equation modeling operationalization of the SCS across different groups. These findings suggest that the SCS provides an assessment of self-compassion that is psychometrically equivalent across groups. However, findings comparing latent mean invariance found that levels of self-compassion differed across groups.

scholarly journals Psychometric properties of the Chalder Fatigue Scale revisited: an exploratory structural equation modeling approach

2015 ◽  
Vol 24 (9) ◽  
pp. 2273-2278 ◽  
Author(s):  
Ted C. T. Fong ◽  
Jessie S. M. Chan ◽  
Cecilia L. W. Chan ◽  
Rainbow T. H. Ho ◽  
Eric T. C. Ziea ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Modeling Approach
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