scholarly journals The effects of workaholics and job engagement on sleep quality

2019 ◽  
Vol 32 (4) ◽  
pp. 419-437
Author(s):  
Sunhee Lee ◽  
Gieun Nam
Keyword(s):  
Sleep Quality ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Job Engagement ◽  
Negative Effects ◽  
Psychological Detachment ◽  
Negative Effect ◽  
Heavy Work ◽  
Definition Of

Although both workaholism and job engagement are known to share the behavioral tendency of heavy work investment, the underlying motivations as well as implications for individuals and organizations differ from each other. To further the understanding the similarity and differences between the two variables, the current study used daily dairy study to examine how workaholism and job engagement influence sleep quality through psychological detachment. Multilevel structural equation modeling on the data collected from 89 employees of an organization over five days showed, as expected, workaholism had negative effects on sleep quality through psychological detachment. Further, the study showed that workaholism acted as a suppressor for the relationship between job engagement and psychological detachment. That is, after controlling for workaholism, the positive relationship between job engagement and psychological detachment increased. However, the hypothesis that job engagement positively influences sleep quality through psychological detachment was not supported. The findings contribute to understanding the mechanism of the negative effect of workaholics, and also raise the need to re-examine the conceptual definition of job engagement.

scholarly journals The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing

2021 ◽  
Vol 13 (12) ◽  
pp. 6842
Author(s):  
Érika Martins Silva Ramos ◽  
Cecilia Jakobsson Bergstad
Keyword(s):  
Travel Behavior ◽  
Psychological Factors ◽  
Structural Equation ◽  
Subjective Norms ◽  
Equation Modeling ◽  
Intention To Use ◽  
Negative Effects ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Multigroup Confirmatory Factor Analysis

The present study investigates the determinants of intention to use carsharing services by an integrated model of psychological predictors of travel behavior. The model proposed is tested by multigroup confirmatory factor analysis (MGCFA) in structural equation modeling (SEM) with further discussion about analysis of invariance and its relevance for comparisons between groups. The sample was classified into four groups: Italian users, Italian non-users, Swedish users, and Swedish non-users of carsharing. The users were respondents who have used or are currently using carsharing, while non-users reported never using the carsharing services. The analysis of data from 6072 respondents revealed that control was the main predictor of intention to use carsharing; driving habits had stronger negative effects for users of carsharing than for non-users; subjective norms positively predicted the intention to use carsharing among all groups; trust was a predictor of intention only for the Italian groups; and climate morality had a small negative effect on the Swedish groups only. The outcomes of this investigation will increase the knowledge about the use of carsharing and help to identify the behavioral and psychological factors that primarily influence people’s intention to use it.

How Difficult Doctor‒Patient Relationships Impair Physicians’ Work Engagement: The Roles of Prosocial Motivation and Problem-Solving Pondering

2019 ◽  
Vol 123 (3) ◽  
pp. 885-902 ◽  
Author(s):  
Linlin Zhang ◽  
Yang Qiu ◽  
Nan Zhang ◽  
Shuang Li
Keyword(s):  
Problem Solving ◽  
Work Engagement ◽  
Structural Equation ◽  
Health Care Organizations ◽  
Equation Modeling ◽  
Conservation Of Resources ◽  
Negative Effects ◽  
Prosocial Motivation ◽  
Negative Effect ◽  
Patient Relationships

Difficult doctor‒patient relationships are a common reality in many health-care organizations. Its harmful impacts have been mainly discussed from the perspectives of patients. However, understanding of its negative effects on physicians is limited. Drawing on the job demands-resources model and the conservation of resources theory, we hypothesize that difficult relationships with patients negatively predict physicians’ work engagement, mediated by physicians’ personal resources (e.g. prosocial motivation and problem-solving pondering). A sample of 588 physicians from 24 Chinese hospitals completed questionnaires in a two-wave survey. Structural equation modeling and bootstrap estimation results provide support for the hypothesized relationships. Difficult doctor‒patient relationships have a direct and negative effect on physicians’ work engagement. Specifically, there is a sequence in which the difficult doctor‒patient relationship first impedes physicians’ prosocial motivation, leading to decreased problem-solving pondering, which subsequently impairs physicians’ work engagement. Theoretical and practical implications of these findings are discussed.

Working Memory, Mental Prospection, Time Orientation, and Cognitive Insight

2013 ◽  
Vol 34 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Sevtap Cinan ◽  
Aslı Doğan
Keyword(s):  
Working Memory ◽  
Structural Equation ◽  
Factor Model ◽  
Time Orientation ◽  
Equation Modeling ◽  
Cognitive Insight ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Positive Effect ◽  
Three Factor

This research is new in its attempt to take future time orientation, morningness orientation, and prospective memory as measures of mental prospection, and to examine a three-factor model that assumes working memory, mental prospection, and cognitive insight are independent but related higher-order cognitive constructs by using confirmatory factor analysis (CFA). The three-factor model produced a good fit to the data. An alternative one-factor model was tested and rejected. The results suggest that working memory and cognitive insight are distinguishable, related constructs, and that both are distinct from, but negatively associated with, mental prospection. In addition, structural equation modeling (SEM) showed that working memory had a strong positive effect on cognitive insight and a moderate negative effect on mental prospection.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

Impulsivity, Affect, and Stress in Daily Life: Examining a Cascade Model of Urgency

2019 ◽  
Author(s):  
Brinkley M. Sharpe ◽  
Leonard Simms ◽  
Aidan G.C. Wright
Keyword(s):  
Negative Affect ◽  
Structural Equation ◽  
Psychiatric Patients ◽  
Cascade Model ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Daily Stress ◽  
Daily Diary Study ◽  
Daily Affect ◽  
Multilevel Structural Equation

Using multilevel structural equation modeling, we examined within- and between-person predictors of daily impulsivity, with a particular focus on testing a cascade model of affect and daily stress in a 100-day daily diary study of 101 psychiatric patients with personality disorder diagnoses. On average (i.e., fixed effect), within-person increases in daily stress were associated with increased daily impulsivity, both independently and as accounted for by positive associations with increased negative and positive affect. Higher Personality Inventory for DSM-5 (PID-5) Impulsivity scores were associated with amplified within-person links between impulsivity and daily stress and negative affect, but not the links between daily stress and either positive or negative affect. The results of this cascade model are consistent with the hypothesized link between daily affect and stress and daily impulsivity while providing further evidence for the validity of the PID-5 Impulsivity scale and its ability to predict daily impulsivity above and beyond fluctuations in affect and stress.

scholarly journals A Multidimensional Model of Fatigue in Patients with Rheumatoid Arthritis

2012 ◽  
Vol 39 (9) ◽  
pp. 1807-1813 ◽  
Author(s):  
PERRY M. NICASSIO ◽  
SARAH R. ORMSETH ◽  
MARA K. CUSTODIO ◽  
MICHAEL R. IRWIN ◽  
RICHARD OLMSTEAD ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Sleep Quality ◽  
Disease Activity ◽  
Structural Equation ◽  
Mood Disturbance ◽  
Equation Modeling ◽  
Poor Sleep ◽  
Direct Effects ◽  
Multidimensional Model ◽  
Poor Sleep Quality

Objective.To evaluate a multidimensional model testing disease activity, mood disturbance, and poor sleep quality as determinants of fatigue in patients with rheumatoid arthritis (RA).Method.The data of 106 participants were drawn from baseline of a randomized comparative efficacy trial of psychosocial interventions for RA. Sets of reliable and valid measures were used to represent model constructs. Structural equation modeling was used to test the direct effects of disease activity, mood disturbance, and poor sleep quality on fatigue, as well as the indirect effects of disease activity as mediated by mood disturbance and poor sleep quality.Results.The final model fit the data well, and the specified predictors explained 62% of the variance in fatigue. Higher levels of disease activity, mood disturbance, and poor sleep quality had direct effects on fatigue. Disease activity was indirectly related to fatigue through its effects on mood disturbance, which in turn was related to poor sleep quality. Mood disturbance also indirectly influenced fatigue through poor sleep quality.Conclusion.Our findings confirmed the importance of a multidimensional framework in evaluating the contribution of disease activity, mood disturbance, and sleep quality to fatigue in RA using a structural equation approach. Mood disturbance and poor sleep quality played major roles in explaining fatigue along with patient-reported disease activity.

Mobile Business Effects on Employees' Social Life

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Husam Alfahl
Keyword(s):  
Social Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Work Family Conflict ◽  
Negative Effects ◽  
Mobile Business ◽  
Business Services ◽  
Work Related ◽  
The Social ◽  
The Impact

The use of mobile devices and smartphones is increasingly becoming a critical part of many people’s lifestyle. Such usage can vary from playing games to accomplishing work-related tasks. Being able to use organizations’ persuasive technologies via mobile business services or to achieve work-related tasks ubiquitously at any time means that such devices provide a valuable service, especially for employees who are working online. This paper explores the impact of mBusiness on the social life of employees. In the research, structural equation modeling was applied to validate the research model. Employees in Saudi organizations were surveyed to test the research hypotheses. The research results confirmed that there are some negative effects of using mBusiness technologies on the social life of employees. Based on the analysis, the findings revealed that addiction to mBusiness technologies significantly increases the perceived work overload, which also significantly increases work-family conflict. The paper concludes with some implications of this research.

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