scholarly journals Analysis of the Relations between Obsessive Compulsive Symptoms and Anxiety Sensitivity in Adolescents with Structural Equation Modeling

2014 ◽  
Vol 39 (176) ◽  
Author(s):  
İsmail SEÇER
Keyword(s):  
Structural Equation Modeling ◽  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Equation Modeling ◽  
Obsessive Compulsive ◽  
Obsessive Compulsive Symptoms

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.

scholarly journals The relationship between anxiety sensitivity and latent symptoms of emotional problems: A structural equation modeling approach

2010 ◽  
Vol 48 (8) ◽  
pp. 761-769 ◽  
Author(s):  
Alison R. Lewis ◽  
Richard E. Zinbarg ◽  
Susan Mineka ◽  
Michelle G. Craske ◽  
Alyssa Epstein ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Emotional Problems ◽  
Equation Modeling ◽  
Modeling Approach ◽  
The Relationship

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

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