scholarly journals Stability and Change of the Personality Traits Languidity and Flexibility in a Sample of Nurses: A 7–8 Years Follow-Up Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Ståle Pallesen ◽  
Eirunn Thun ◽  
Siri Waage ◽  
Øystein Vedaa ◽  
Anette Harris ◽  
...  
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Temporal Stability ◽  
Night Work ◽  
Equation Modeling ◽  
Follow Up Study ◽  
The Mean ◽  
Composite Scores ◽  
Circadian Type

The traits languidity (tendency to become tired/sleepy upon losing sleep) and flexibility (ability to sleep and work at odd times) have been implicated in shift work tolerance. However, there is a dearth of knowledge about their temporal stability. The aim of the present study was to explore these traits during a long follow-up (FU) period and identify factors related to potential changes in trait scores over time. In all, 1,652 nurses completed the Circadian Type Inventory-revised (CTI-r), which measures languidity and flexibility, at both 2008/2009 (baseline, BL) and again in 2016 (FU). The latent scores of these two constructs at BL, in addition to age, sex, childcare responsibility, marital status, night work status, and insomnia status, were regressed on the corresponding latent scores at follow-up using a structural equation modeling (SEM) approach. Stability was found for both languidity (rho = 0.59) and flexibility (rho = 0.58). Both composite scores declined significantly from baseline (20.62 and 12.48) to follow-up (19.96 and 11.77). Languidity at baseline was positively associated with languidity at follow-up (β = 0.89, p < 0.009). Undertaking childcare responsibility between baseline and follow-up was inversely related to languidity at follow-up (β = −0.09, p < 0.05). Starting night work was positively related to languidity at follow-up (β = 0.06, p < 0.05). Developing insomnia between baseline and follow-up (β = 0.15, p < 0.05) was positively, whereas remitting from insomnia during the same period was negatively (β = −0.11, p < 0.01) associated with languidity at follow-up. Flexibility at baseline was positively associated with flexibility at follow-up (β = 0.64, p < 0.05). Having childcare responsibility at baseline, but not at follow-up was inversely related to flexibility at follow-up (β = −0.05 p < 0.05). Becoming cohabitant with a partner between baseline and follow-up (β = −0.07, p < 0.05) was negatively associated with flexibility at follow-up. Starting night work between baseline and follow-up (β = 0.17, p < 0.01) and reporting night work at both baseline and follow-up (β = 0.18, p < 0.01) were both positively associated with flexibility at follow-up, whereas stopping working nights was negatively (β = −0.09, p < 0.05), associated with flexibility at follow-up. The personality traits languidity and flexibility show fairly high stability, albeit the mean scores were significantly reduced during the 7–8 years follow-up period. The results suggest that these personality traits are partly modifiable.

Premorbid personality traits are associated with post-stroke behavioral and psychological symptoms: a three-month follow-up study in Perth, Western Australia

2009 ◽  
Vol 21 (6) ◽  
pp. 1063-1071 ◽  
Author(s):  
Kathryn R. Greenop ◽  
Osvaldo P. Almeida ◽  
Graeme J. Hankey ◽  
Frank van Bockxmeer ◽  
Nicola T. Lautenschlager
Keyword(s):  
Depressive Symptoms ◽  
Personality Traits ◽  
Psychological Symptoms ◽  
Premorbid Personality ◽  
Close Family Member ◽  
Post Stroke ◽  
Follow Up Study ◽  
Composite Scores ◽  
Behavioral And Psychological Symptoms

ABSTRACTBackground: Previous research has found an association between post-stroke depressive symptoms and premorbid personality. This study sought to investigate further the relationship between premorbid personality and a number of common post-stroke behavioral and psychological symptoms in a three-month follow-up study.Methods: This prospective study was conducted between May 2003 and January 2005 in a Perth metropolitan teaching hospital. The pre-stroke personality of stroke survivors was assessed by interviewing a close family member (informant) within four weeks of the index stroke using the NEO Personality Inventory-Revised. Three months after the stroke, patients were followed up and assessed with the Cambridge Cognitive examination and Hospital Anxiety and Depression Scale, and their informants completed the Neuropsychiatric Inventory-carer distress version (NPI) and instrumental activities of daily living scale.Results: Depressive symptoms were the most commonly reported post-stroke symptom (45.1%). Spearman's correlations showed that high neuroticism was positively correlated with NPI total scores (ρ = 0.37, p = 0.007), NPI total distress scores (ρ = 0.47, p = 0.001), and specifically with agitation and irritability NPI composite scores. Agreeableness was inversely correlated with agitation (ρ = −0.40, p = 0.004) and irritability (ρ = −0.37, p = 0.007) composite scores.Conclusions: Premorbid personality traits of high neuroticism and low agreeableness are associated with the presence of post-stroke agitation, irritability, and carer distress. This knowledge may contribute to the development of strategies designed to identify patients and families who require more intense supervision and support during post-stroke rehabilitation.

Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

2016 ◽  
pp. 54-73 ◽  
Author(s):  
Anh Doan Ngoc Phi
Keyword(s):  
Significant Influence ◽  
Quantitative Data ◽  
Structural Equation ◽  
Qualitative Data ◽  
Management Accounting ◽  
Transitional Economy ◽  
Equation Modeling ◽  
Enterprise Performance ◽  
Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

Gender and Organizational Conflict Management: The Mediating Role of Personality

2018 ◽  
Author(s):  
Maciej Kościelniak ◽  
Jarosław Piotrowski ◽  
Magdalena Żemojtel-Piotrowska
Keyword(s):  
Conflict Management ◽  
Personality Traits ◽  
Structural Equation ◽  
Online Survey ◽  
Conflict Behavior ◽  
Equation Modeling ◽  
Conflict Management Styles ◽  
Mediating Role ◽  
Big Five Model

Many authors examined the interplay between gender and conflict management preferences, but those findings were often mixed and inconsistent. In the current paper we tried to explain those inconsistencies by investigating the mediating role of personality for the relationship of gender and conflict management. Rahim's inventory was used for identifying five conflict management styles, and Big Five Model theory was a base for assessing participants' personality traits. Data were collected from a sample of 1,055 working Poles (52.7% women), in an online survey. Based on the structural equation modeling we detected multiple indirect mediating paths of gender on conflict management via personality traits, while no direct effect of gender was observed. Despite some limitations, the study sheds light on the actual role of gender in conflict behavior and the importance of personality traits in the conflict management, both from a theoretical and practical perspective.

scholarly journals Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

2019 ◽  
Vol 16 (24) ◽  
pp. 4881 ◽  
Author(s):  
Yubing Zheng ◽  
Yang Ma ◽  
Nan Li ◽  
Jianchuan Cheng
Keyword(s):  
Personality Traits ◽  
Road Safety ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Road Crashes ◽  
Crash Rates ◽  
Model Combining

In recent years, the increasing rate of road crashes involving cyclists with a disproportionate overrepresentation in injury statistics has become a major concern in road safety and public health. However, much remains unknown about factors contributing to cyclists’ high crash rates, especially those related to personal characteristics. This study aims to explore the influence of cyclist personality traits and cycling behaviors on their road safety outcomes using a mediated model combining these constructs. A total of 628 cyclists completed an online questionnaire consisting of questions related to cycling anger, impulsiveness, normlessness, sensation seeking, risky cycling behaviors, and involvement in crash-related conditions in the past year. After the psychometric properties of the employed scales were examined, the relationships among the tested constructs were investigated using structural equation modeling. The results showed that cyclists’ crash risks were directly predicted by risky cycling behaviors and cycling anger, and the effects of cycling anger, impulsiveness, as well as normlessness on crash risks, were mediated by cycling behaviors. The current findings provide insight into the importance of personality traits in impacting cycling safety and could facilitate the development of evidence-based prevention and promotion strategies targeting cyclists in China.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

The Role of Financial Behavior in Mediating the Influence of Socioeconomic Characteristic and Neuroticism Personality Traits on Financial Satisfaction

2021 ◽  
Vol 12 (1) ◽  
pp. 44-44
Author(s):  
Khaira Amalia Fachrudin
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Financial Behavior ◽  
Primary Data ◽  
Equation Modeling ◽  
Financial Satisfaction ◽  
Investment Behavior ◽  
Socioeconomic Characteristic ◽  
Spending Behavior ◽  
Debt Behavior

The inherent socioeconomic characteristics and personality traits of individuals can have direct effects on their financial satisfaction. There has been no research that examines the effects of these two factors on financial satisfaction with financial behavior acting as the mediating variable even though it is very important to know whether individuals with certain characteristics and personality traits are able to increase their financial satisfaction by improving their financial behavior. 2. Methods This research involved 600 respondents in Medan, Indonesia. The primary data were obtained from the questionnaire. Data analyses were performed by using the partial least squares structural equation modeling (PLS-SEM) method. 3. Results and findings The test results show that at 5% of alpha, the financial behavior, which consists of investment behavior, debt behavior, and spending behavior, is able to mediate the effects of gender, age, level of education, income, and neuroticism traits on financial satisfaction. In addition, it is also found that the higher the individuals' scores on neuroticism are, the worse their investment, debt, and spending behaviors will be; however, their herding behavior and financial dissatisfaction increase. Moreover, these people are also not financially well-off. Keywords: Debt behavior, financial satisfaction, investment behavior, neuroticism personality traits, spending behavior.

Does employee willingness to take risks affect customer loyalty? A moderated mediation examination of innovative behaviors and decentralization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Ahmad Al-Hawari ◽  
Shaker Bani-Melhem ◽  
Faridahwati Mohd. Shamsudin
Keyword(s):  
Personality Traits ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Frontline Employees ◽  
Content Type ◽  
Mediating Role ◽  
Hotel Managers ◽  
Innovative Behaviors

Purpose This study aims to build on the trait activation and interactionist perspective theories to investigate the effect of frontline employees’ (FLEs) willingness to take risks on hotel guest loyalty by assessing the mediating role of their innovative behaviors. It also examines whether decentralization strengthens the positive impact of willingness to take risks on innovative behavior and, subsequently, customer loyalty. Design/methodology/approach The authors collected multilevel data from various sources – hotel FLEs (n = 183), hotel operation managers (n = 46) and hotel guests/customers (n = 266) – from five-star hotels operating in Dubai. Structural equation modeling and PROCESS macro (version 3.5) were used to analyze the data. Findings The findings showed that willingness to take risks indirectly (via innovative behaviors) affects guest/customer loyalty positively. This effect is strengthened when the hotel is decentralized. Practical implications This study provides insight into how hotel managers can foster customer loyalty. More specifically, they can do so by establishing employees’ innovative behaviors triggered by employees’ positive personality traits and by giving employees more autonomy. Originality/value The present study addresses recent calls to investigate the positive impact of FLEs’ personality traits, attitudes and behaviors on customer loyalty.

A Follow-Up Study of the CROS Hearing Aid

1972 ◽  
Vol 37 (1) ◽  
pp. 113-117 ◽  
Author(s):  
Hedda Aufricht
Keyword(s):  
Hearing Aids ◽  
Hearing Aid ◽  
Unilateral Hearing Loss ◽  
Conversational Speech ◽  
Noisy Environment ◽  
Follow Up Study ◽  
Speech Distortion ◽  
Male Veterans ◽  
The Mean

A recent development in hearing aids, the contralateral routing of signals (CROS), makes it possible to provide amplification for persons with unilateral hearing loss. In 1967, a CROS eyeglass hearing aid was placed on government contract and made available to veterans. To study the efficiency of the CROS, a follow-up questionnaire was sent to 60 male veterans who had been fitted with this aid. All had demonstrated unilateral hearing losses, and the mean threshold for the speech frequencies (500–2000 Hz) in the good ear was 24 dB. The 54 replies (90%) indicated that 85% wore the aid, liked it, and derived benefit from it; 15% neither liked nor wore the aid. The CROS appeared to be most helpful in listening to conversational speech and at work, and most disturbing in a noisy environment. The complaints about the aid fell into major categories: 33% objected to its poor fit and construction and 11% were disturbed by speech distortion. The CROS aid has been a useful addition to the hearing-aid stock at the clinic reported here. It has expanded the program by providing amplification to veterans who could not be fitted with the conventional stock of aids.

Distribution and Heritability of Recurrent Ear Infections

1997 ◽  
Vol 106 (8) ◽  
pp. 624-632 ◽  
Author(s):  
Kari J. Kvaerner ◽  
Jennifer R. Harris ◽  
Kristian Tambs ◽  
Per Magnus
Keyword(s):  
Structural Equation ◽  
Genetic Factors ◽  
Age Of Onset ◽  
Population Based ◽  
Equation Modeling ◽  
Relative Contribution ◽  
Genes And Environment ◽  
Ear Infections ◽  
The Mean ◽  
Familial Environment

The distribution of recurrent ear infections was obtained from a population-based sample of 2,750 pairs of Norwegian twins born between 1967 and 1974. The lifetime prevalence of self-reported recurrent ear infections was 8.9%, with a significant predominance of female cases. The mean age of onset was 4.2 years, with a gradual decrease in occurrence from 2 to 7 years of age. Among monozygotic pairs, the rate of tetrachoric correlation between co-twins was almost identical in males (0.73, SE 0.08) and females (0.74, SE 0.06), but among the dizygotic pairs the correlation was clearly higher in males (0.53, SE 0.12) than in females (0.20, SE 0.12). The value in the unlike-sexed dizygotic twins (0.25, SE 0.05) was intermediate to that of the like-sexed male and female dizygotic pairs. The relative contribution of genes and environment to variability in the predisposition to develop otitis media was estimated by means of structural equation modeling. Variation in liability to ear infections was mainly explained by additive genetic and dominance factors in females, for whom heritability was estimated at 74%. The remaining 26% of the variation in liability was explained by individual environmental factors. In males, 45% of the variation could be accounted for by genetic factors, 29% by common familial environment, and the remaining 26% by individual environmental effects.

scholarly journals A Behavioral Model of Drivers’ Mean Speed Influenced by Weather Conditions, Road Geometry, and Driver Characteristics Using a Driving Simulator Study

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Mehdi Zolali ◽  
Babak Mirbaha ◽  
Maziyar Layegh ◽  
Hamid Reza Behnood
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Driving Simulator ◽  
Weather Conditions ◽  
Geometric Design ◽  
Equation Modeling ◽  
Novice Drivers ◽  
Sight Distance ◽  
The Mean

Driving above the speed limit is one of the factors that significantly affect safety. Many studies examined the factors affecting the speed of vehicles in the simulated environment. The present study aimed to analyze drivers’ characteristics, time and weather conditions, and geometric features’ effect on mean speed in simulated conditions simultaneously. In this regard, the simulator experiment data of 70 drivers were collected in a two-lane rural highway at six different times, and weather scenarios and their socioeconomic characteristics were collected by a questionnaire. Structural equation modeling (SEM) was used to capture the complex relationships among related variables. Eleven variables were grouped into four latent variables in the structural model. Latent variables including “Novice Drivers,” “Experienced Drivers,” “Sight Distance,” and “Geometric Design” were defined and found significant on their mean speed. The results showed that “Novice Drivers” have a positive correlation with the mean speed. Meanwhile, “Experienced Drivers,” who drive 12% slower than the novice group, negatively affect the mean speed with a standard regression weight of −0.08. This relation means that young and novice drivers are more inclined to choose higher speeds. Among variables, the latent variable “Sight Distance” has the most significant effect on the mean speed. This model shows that foggy weather conditions strongly affect the speed selection behavior and reduce the mean speed by 40%. Nighttime also reduces mean speed due to poor visibility conditions. Furthermore, “Geometric design” as the latent variable indicates the presence of curves on the simulated road, and it can be concluded that the existence of a curve on the road encourages drivers to slow down, even young drivers. It is noteworthy that the parts of the simulated road with a horizontal curve act as a speed reduction tool for drivers.

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