scholarly journals COVID-19 Concerns and Personality of Commerce Workers: Its Influence on Burnout

2021 ◽  
Vol 13 (22) ◽  
pp. 12908
Author(s):  
Ana María Rodríguez-López ◽  
Susana Rubio-Valdehita
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Online Survey ◽  
Structural Equation Models ◽  
Burnout Syndrome ◽  
Hierarchical Regression ◽  
Fit Indices ◽  
Cross Sectional ◽  
Sociodemographic Variables ◽  
Cross Sectional Design

We analyze burnout in a sample of commercial workers in Spain and its relationship with sociodemographic variables, personality, and concern about the influence of the COVID-19 pandemic on their jobs through a cross-sectional design. Participants (n = 614) answered an online survey, including questions about sociodemographic data, concern, NEO-FFI (personality), and MBI (burnout syndrome). The survey took place from October 2020 to May 2021. We assessed the relationships between sociodemographic variables, pandemic concern, and personality as predictors of burnout by hierarchical regression analysis and then tested using SEM (structural equation models). The proposed model showed adequate goodness-of-fit indices. The results of the present study suggest that the COVID-19 pandemic had little effect to the development of burnout syndrome in commerce employees. However, in agreement with previous literature, the present study shows that personality has a significant role in predicting burnout. Neuroticism, introversion, conscientiousness, and agreeableness were strong predictors for burnout dimensions. In addition, we found that personality directly affected the pandemic concern: individuals with high levels of Neuroticism and low levels of extraversion, agreeableness, and conscientiousness have more pandemic concerns. In conclusion, personality is an important factor that affects the level of workers’ concern about the influence of the pandemic on their job and the development of burnout syndrome. Furthermore, although we found significant differences between groups formed by various sociodemographic characteristics, the conclusion regarding this type of variable is that their ability to predict burnout is deficient.

scholarly journals A test of the goodness of fit of the generic metacognitive model of psychopathology symptoms

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Henrik Nordahl ◽  
Ingunn Harsvik Ødegaard ◽  
Odin Hjemdal ◽  
Adrian Wells
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Common Mental Disorders ◽  
Self Report ◽  
Generic Model ◽  
Cross Sectional ◽  
Distress Symptoms ◽  
Metacognitive Beliefs ◽  
Cross Sectional Design ◽  
Psychopathology Symptoms

Abstract Background Common mental disorders such as depression and anxiety frequently co-occur and may share etiological mechanisms. The metacognitive model is based on the principle that there are common pathological mechanisms across disorders that account for comorbidity and therefore can be conceptualized in one generic model. A central prediction of the model is that particular metacognitive beliefs concerning the value of worry, and the uncontrollability and danger of cognition are positively correlated with psychopathology symptoms. In the present study, we set out to test the overall fit of this model by assessing generic metacognitive beliefs and judgements of attention control capacity as predictors of common and frequently co-occurring emotional distress symptoms. Methods In a cross-sectional design, 645 participants gathered at convenience completed a battery of self-report questionnaires. Results Structural equation modelling indicated a good model fit for the generic metacognitive model, and the predictors accounted for 93% of the variance in distress consisting of depression-, generalized- and social anxiety symptoms. Conclusions This finding supports the generic model and the implication that it can be used as a basis to formulate and treat multiple presenting problems.

scholarly journals Resilience Analysis of Crisis in Medical Environments: A Structural Equation Modeling based on Crisis Management Components

2022 ◽  
Author(s):  
SAMIRA GHIYASI ◽  
FATEMEH VERDI BAGHDADI ◽  
FARSHAD HASHEMZADEH ◽  
AHMAD SOLTANZADEH
Keyword(s):  
Structural Equation Modeling ◽  
Crisis Management ◽  
Work Experience ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Fit Indices ◽  
Cross Sectional ◽  
Resilience Index ◽  
The Impact

Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.  

scholarly journals The Apple of Daddy’s Eye: Parental Overvaluation Links the Narcissistic Traits of Father and Child

2020 ◽  
Vol 17 (15) ◽  
pp. 5515 ◽  
Author(s):  
Gabrielle Coppola ◽  
Pasquale Musso ◽  
Carlo Buonanno ◽  
Cristina Semeraro ◽  
Barbara Iacobellis ◽  
...  
Keyword(s):  
Parenting Styles ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Community Sample ◽  
Self Esteem ◽  
School Age Children ◽  
Urban Context ◽  
Cross Sectional ◽  
Mothers And Fathers ◽  
Cross Sectional Design

This study contributes to the literature on the parental correlates of children’s narcissism. It addresses whether parental overvaluation may drive the putative link between parents’ narcissism and children’s narcissism and self-esteem. The cross-sectional design involved a community sample of 519 school-age children (age ranging from 9 to 11 years old) and their parents from an Italian urban context. Child-reported measures included narcissistic traits and self-esteem, while parent-reported measures included narcissistic traits and overvaluation, as well as parenting styles. A series of structural equation models, run separately for mothers and fathers, showed that both parents’ narcissism was directly and positively related to overvaluation and the children’s narcissistic traits; overvaluation partially mediated the indirect link between the fathers’ and children’s narcissistic traits. None of the parenting-style dimensions were related to the children’s outcomes, with the exception of the mothers’ positive parenting being directly and positively related to children’s self-esteem. These findings shed new light upon the parental correlates of child narcissism by suggesting that mothers and fathers convey their narcissism to their offspring through differential pathways. Our findings may be understood from universal as well as cultural specifics regarding the parenting roles of mothers and fathers. Clinical implications for the treatment of youth narcissism suggest the potential of targeting not only children but also their parents.

Combating Burnout by Increasing Job Relational Characteristics

2019 ◽  
Vol 47 (5) ◽  
pp. 538-550
Author(s):  
Catarina Gonçalves ◽  
Maria José Chambel ◽  
Vânia Sofia Carvalho
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Autonomous Motivation ◽  
Job Characteristics ◽  
Social Value ◽  
Burnout Syndrome ◽  
Contact Center ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Practical Implications

The current study developed and tested the indirect effect of the relational job characteristics (i.e., perceived prosocial impact and perceived social value) on the burnout syndrome through the autonomous motivation. The cross-sectional survey data analysis of 1,538 Portuguese contact center workers was analyzed using the software package Mplus to conduct structural equation models. Autonomous motivation partially explains the negative relation between the relational job characteristics and burnout. However, the direct relationship between perceived prosocial impact and burnout was not significant. To promote awareness about the perceived value and impact of work and to invest in the interactions between workers and customers are the major practical implications of this study.

Should We Use F-Tests for Model Fit Instead of Chi-Square in Overidentified Structural Equation Models?

2018 ◽  
Vol 23 (3) ◽  
pp. 487-510 ◽  
Author(s):  
Daniel McNeish
Keyword(s):  
Data Model ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Equation Models ◽  
Small Sample ◽  
Model Fit ◽  
Ratio Test ◽  
Fit Indices ◽  
Chi Square ◽  
Advantages And Disadvantages

Debate continues about whether the likelihood ratio test ( T ML) or goodness-of-fit indices are most appropriate for assessing data-model fit in structural equation models. Though potential advantages and disadvantages of these methods with large samples are often discussed, shortcomings concomitant with smaller samples are not. This article aims to (a) highlight the broader small sample issues with both approaches to data-model fit assessment, (b) note that what constitutes a small sample is common in empirical studies (approximately 20% to 50% in review studies, depending on the definition of “small”), and (c) more widely introduce F-tests as a desirable alternative than the traditional T ML tests, small-sample corrections, or goodness-of-fit indices with smaller samples. Both goodness-of-fit indices and comparing T ML to a chi-square distribution at smaller samples leads to overrejection of well-fitting models. Simulations and example analyses show that F-tests yield more desirable statistical properties—with or without normality—than standard approaches like chi-square tests or goodness-of-fit indices with smaller samples, roughly defined as N < 200 or N: df < 3.

Evaluation of goodness-of-fit indices for structural equation models.

1989 ◽  
Vol 105 (3) ◽  
pp. 430-445 ◽  
Author(s):  
Stanley A. Mulaik ◽  
Larry R. James ◽  
Judith Van Alstine ◽  
Nathan Bennett ◽  
Sherri Lind ◽  
...  
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Equation Models ◽  
Fit Indices
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