A network of dark personality traits: What lies at the heart of darkness?

Individual differences in spite predict costly third-party punishment

OBJECTIVE

Spiteful behaviors are those aimed at inflicting harm on another person while also incurring a cost to the self. Although spite sometimes reflects destructive and socially undesirable behaviors including aggression, the current work sought to examine a potentially socially beneficial aspect of spite: engagement in costly punishment for selfish behavior.

METHOD

Four studies used a costly third-party punishment task and measured individual differences in spite, narcissism, Machiavellianism, psychopathy, and motivations for engaging in punishment.

RESULTS

Trait spite was positively associated with costly punishment of selfish behavior. That association was independent of other dark personality traits (narcissism, Machiavellianism, psychopathy) and was statistically mediated by a desire for retribution. One of the studies also provided evidence that trait spite was associated with costly punishment of even generous behavior; however, rather than a desire for retribution, that association was mediated by a desire to threaten the person being punished.

CONCLUSION

Punishing selfishness and other forms of wrongdoing plays an essential role in cooperative group living. The current work provides new insight into the role spiteful motivations might play in this crucial social behavior.

Simulation-Based Performance Evaluation of Missing Data Handling in Network Analysis

Network analysis has gained popularity as an approach to investigate psychological constructs. However, there are currently no guidelines for applied researchers when encountering missing values. In this simulation study, we compared the performance of a two-step EM algorithm with separated steps for missing handling and regularization, a combined direct EM algorithm, and pairwise deletion. We investigated conditions with varying network sizes, numbers of observations, missing data mechanisms, and percentages of missing values. These approaches are evaluated with regard to recovering population networks in terms of loss in the precision matrix, edge set identification and network statistics. The simulation showed adequate performance only in conditions with large samples (n ≥ 500 ) or small networks (p = 10). Comparing the missing data approaches, the direct EM appears to be more sensitive and superior in nearly all chosen conditions. The two-step EM yields better results when the ratio of n/p is very large - being less sensitive but more specific. Pairwise deletion failed to converge across numerous conditions and yielded inferior results overall. Overall, direct EM is recommended in most cases, as it is able to mitigate the impact of missing data quite well, while modifications to two-step EM could improve its performance.

A Network Analysis Approach to Understanding Centrality and Overlap of 21 Dark Triad Items in Adults of 10 Countries

Background

Previous research has suggested that manipulation and callousness are central to Dark Triad traits, but it has not identified which specific manifestations are expressed across various countries.

Objective

This study aimed to identify the core and overlapping manifestations of Dark Triad traits across 10 countries.

Methods

We used the Short Dark Triad (SD3) scale and assessed a sample of 8093 participants (59.7% women, M(age) = 32.68 years). For graphical representation, the spinglass algorithm was applied to understand the cluster distribution among Machiavellianism, psychopathy, and subclinical narcissism traits. Centrality indices were used to identify the most influential items, and the clique-percolation algorithm was employed to detect shared attributes among multiple Dark Triad items.

Results

Straightforward SD3-21 items demonstrated better interpretability as aversive traits within the broader system. Items with higher centrality values were those related to short-term verbal manipulation from the psychopathy domain, clever manipulation, strategic revenge-seeking from Machiavellianism, and narcissistic motivations for connecting with significant individuals. The most predicted items were linked to planned revenge, using information against others from Machiavellianism, short-term psychopathic verbal manipulation, and narcissistic belief of specialness based on external validation. Items like short-term verbal manipulation had overlaps with both psychopathy and narcissism clusters, while clever manipulation overlapped with Machiavellianism and psychopathy.

Conclusion

This cross-cultural study highlights the central role of verbal manipulation within the Dark Triad traits, along with identifying overlapping items among traits measured using straightforward SD3 scale items. In line with our findings, future research that incorporates a wide range of cultural contexts is encouraged to establish the consistency of these findings with the SD3 Scale or alternative measures.

Is the link between the Dark Tetrad and the acceptance of sexual violence mediated by sexual machismo?

Previous studies have established relationships between the Dark Tetrad traits and sexual violence and its acceptance through myths about this type of violence. Sexual violence is positively associated with machismo, with sexist beliefs having been found to be linked with the Dark Tetrad and with the acceptance of sexual violence. Using a community sample comprising 362 adults between the ages of 18 and 70 (M = 35.6, SD = 14.3) and three self-report measures, this cross-sectional study aimed to explore the mediating role of sexual machismo in the relationship between each of the Dark Tetrad traits and the acceptance of sexual violence, both in the overall sample and by gender, as well as whether a significant variance in this acceptance is explained by the "dark" traits, sexual machismo, and gender. In the regression, sexual machismo (the male) gender, and only Machiavellianism were uniquely associated with the acceptance of sexual violence, and sexual machismo partially mediated the associations between the Dark Tetrad and the acceptance of sexual violence. These findings indicate that being male and higher in sexism is more closely linked with the acceptance of sexual violence than most Dark Tetrad traits. Moreover, the associations between the Dark Tetrad, sexual machismo, and the acceptance of sexual violence were stronger in men, consistent with the notion that these traits facilitate a "male" exploitive mating strategy, which likely also extends to victim-blaming and positive attitudes about sexual violence more broadly. Lastly, the results emphasize the pervasiveness of beliefs about male superiority over women and its relationship with victim-blaming even in women.

The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at the level of manifest variables. A questionnaire method was used to investigate smartphone addiction and related factors twice with nearly six-month intervals among 1564 first-year university students (M = 19.14, SD = 0.66). The study found that procrastination behavior, academic burnout, self-control, fear of missing out, social anxiety, and self-esteem directly influenced smartphone addiction. Additionally, smartphone addiction predicted the level of self-control, academic burnout, social anxiety, and perceived social support among university students. Self-control exhibited the strongest predictive relationship with smartphone addiction. Overall, self-control, self-esteem, perceived social support, and academic burnout were identified as key factors influencing smartphone addiction among university students. Developing prevention and intervention programs that target these core influencing factors would be more cost-effective.

Network Analysis of Dark Triad Traits and Emotional Intelligence in Peruvian Adults

Background

The study of Dark Triad traits and emotional variables has been conducted in numerous regions; however, there is a lack of research focusing on Latin American samples and considering variables such as sex and age. Incorporating these variables could enhance our understanding of underlying aversive patterns.

Purpose

This study aimed to analyze the associations between Dark Triad traits and emotional intelligence in Peruvian adults.

Methods

Data were collected in 2021 and 272 adults (M=31.8 years, 68% female) participated through online surveys via non-probability purposive sampling. Dirty Dozen and Trait Meta-Mood Scales were used. Two partial correlation network models were applied between the study variables with and without controlling for gender and age. Bridge-expected influence and predictability analysis were calculated to find interconnected traits and higher connections, respectively.

Results

Subclinical psychopathy primarily showed negative associations with emotional clarity (r=-0.17), followed by emotional attention (r=-0.08) and emotional repair in networks with and without age and gender variables. Machiavellianism consistently displayed a negative association with emotional repair (r=-0.13) in both estimated networks. Conversely, subclinical narcissism exhibited a positive association solely with emotional attention (r=0.15). Furthermore, younger age was linked to higher Machiavellianism (r=-0.23), females showed higher emotional attention (r=0.11), and narcissism connected intrapersonal emotional domains with Dark Traits (bridge expected influence >1.25) while Machiavellianism exhibited greater predictability (r2>0.45) due to reinforcement by other Dark Traits.

Conclusion

This study revealed negative connections between the Dark Triad and emotional intelligence traits, except for narcissism, which was positively associated with emotional attention and functioned as a "bridge" between all traits. However, relying solely on this single positive emotional aspect of narcissism may not be adequate to characterize it as possessing fully adaptive emotional traits. Findings suggest that detailed aspects of emotional intelligence and sociodemographic factors can provide valuable insights into the complex nature of aversive patterns and their broader impact on society.

Revisiting the vulnerable dark triad hypothesis using a bifactor model

Miller et al. (2010) previously suggested that borderline pathology, vulnerable narcissism, and Factor 2 psychopathy share a common "Vulnerable Dark Triad" (VDT) core. The present study (N = 1,023 community participants) aims to test that hypothesis using exploratory and confirmatory bifactor analyses. We found support for a bifactor model that obtained satisfactory fits and other adequate validity indices, which included a general VDT factor and three group factors (Reckless, Entitled, Hiding). The general VDT factor was mostly saturated with borderline symptoms items reflecting self-hatred and worthlessness, which did not form a group factor; these results add to previous research suggesting that features of borderline pathology may represent the core of personality pathology. The three group factors had distinctive relationships with Dark Triad traits, pathological trait domains, and aggression. In contrast with the three group factors, the general VDT factor more strongly incremented the prediction of negative affectivity and hostility; the group factors more strongly incremented the prediction of grandiosity, egocentrism, callousness, Machiavellianism, and direct (physical/verbal) aggression. Alignment of the retained bifactor model with influent models of personality pathology and conceptual/methodological implications of the present results for research on the hypothesized VDT are discussed, as well as some clinical implications of the findings.

The interplay of personality traits, anxiety, and depression in Chinese college students: a network analysis

Background

Anxiety and depression are among the greatest contributors to the global burden of diseases. The close associations of personality traits with anxiety and depression have been widely described. However, the common practice of sum scores in previous studies limits the understanding of the fine-grained connections between different personality traits and anxiety and depression symptoms and cannot explore and compare the risk or protective effects of personality traits on anxiety and depression symptoms.

Objective

We aimed to determine the fine-grained connections between different personality traits and anxiety and depression symptoms and identify the detrimental or protective effects of different personality traits on anxiety and depression symptoms.

Methods

A total of 536 college students from China were recruited online, and the average age was 19.98 ± 1.11. The Chinese version of the Ten-Item Personality Inventory, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9 was used to investigate the personality traits and symptoms of anxiety and depression of participants after they understood the purpose and filling method of the survey and signed the informed consent. The demographic characteristics were summarized, and the scale scores were calculated. The network model of personality traits and symptoms of anxiety and depression was constructed, and bridge expected influence (BEI) was measured to evaluate the effect of personality traits on anxiety and depression. The edge accuracy and BEI stability were estimated, and the BEI difference and the edge weight difference were tested.

Results

In the network, 29 edges (indicating partial correlations between variables) bridged the personality community and the anxiety and depression community, among which the strongest correlations were extraversion-fatigue, agreeableness-suicidal ideation, conscientiousness-uncontrollable worry, neuroticism-excessive worry, neuroticism-irritability, and openness-feelings of worthlessness. Neuroticism had the highest positive BEI value (0.32), agreeableness had the highest negative BEI value (-0.27), and the BEI values of neuroticism and agreeableness were significantly different from those of most other nodes (p < 0.05).

Conclusion

There are intricate correlations between personality traits and the symptoms of anxiety and depression in college students. Neuroticism was identified as the most crucial risk trait for depression and anxiety symptoms, while agreeableness was the most central protective trait.

Network Analysis of Anxiety Symptoms in Front-Line Medical Staff during the COVID-19 Pandemic

BACKGROUND

This research analyses the relations between anxiety symptoms from the network perspective to deepen the understanding of anxiety in front-line medical staff during the COVID-19 pandemic and can also provide a reference for determining potential goals of clinical interventions.

METHODS

A convenience sampling was adopted, and the Generalized Anxiety Disorder 7-item scale (GAD-7) was administered to front-line medical staff through online platforms. A regularized partial correlation network of anxiety was constructed and then we evaluated its accuracy and stability. The expected influence and predictability were used to describe the relative importance and the controllability, using community detection to explore community structure. The gender-based differences and the directed acyclic graph were implemented.

RESULTS

The connections between A1 "Feeling nervous, anxious or on edge" and A2 "Not being able to stop or control worrying", A6 "Becoming easily annoyed or irritable" and A7 "Feeling afraid as if something awful might happen", etc., were relatively strong; A2 "Not being able to stop or control worrying" and A3 "Worrying too much about different things" had the highest expected influence, and A2 "Not being able to stop or control worrying" had the highest predictability. The community detection identified two communities. The results of the gender network comparison showed the overall intensity of the anxiety network in women was higher than that in men; DAG indicated that A2 "Not being able to stop or control worrying" had the highest probabilistic priority; the lines from A2 "Not being able to stop or control worrying" to A1 "Feeling nervous, anxious or on edge" and A2 "Not being able to stop or control worrying" to A7 "Feeling afraid as if something awful might happen" represented the most important arrows.

CONCLUSION

There exist broad interconnections among anxiety symptoms of front-line medical staff on the GAD-7. A2 "Not being able to stop or control worrying" might be the core symptom and a potential effective intervention target. It was possible to bring an optimal result for the entire GAD symptom network by interfering with A2 "Not being able to stop or control worrying". GAD may have two "subsystems". The modes of interconnection among anxiety may be consistent between genders.

Network analysis of internet addiction and sleep disturbance symptoms

BACKGROUND

Internet addiction (IA) is a behavioral addiction to problematic internet use. IA is associated with poorer sleep quality. Few studies to date, however, have explored the interactions between symptoms of IA and symptoms of sleep disturbance. This study uses network analysis to identify bridge symptoms by analyzing these interactions in a large sample of students.

METHOD

We recruited 1977 university students to participate in our study. Each student completed the Internet Addiction Test (IAT) and the Pittsburgh Sleep Quality Index (PSQI). We used these collected data for network analysis to identify the bridge symptoms in the IAT-PSQI network by calculating the bridge centrality. Furthermore, the closest symptom connected with the bridge symptom was found to identify the comorbidity mechanisms.

RESULTS

The core symptom of IA and the sleep disturbance network was "I08" (Study efficiency suffers due to internet use). The bridge symptoms between IA and sleep disturbance were "I14" (Surfing the internet late instead of sleeping), "P_DD" (Daytime dysfunction), and "I02" (Spending much time online instead of socializing in real life). Among the symptoms, "I14" had the highest bridge centrality. The edge connecting nodes "I14" and "P_SDu" (Sleep duration) had the strongest weight (0.102) around all the symptoms of sleep disturbance. Nodes "I14" and "I15" (Thinking about online shopping, games, social networking, and other network activities when unable to access the internet) had the strongest weight (0.181), connecting all the symptoms of IA.

CONCLUSIONS

IA leads to poorer sleep quality, most likely by shortening sleep duration. Preoccupation with and craving the internet while being offline may lead to this situation. Healthy sleep habits should be learned, and craving may be a good point at which to treat the symptoms of IA and sleep disturbance.

Work Addiction and Its Relation with Dark Personality Traits: A Cross-sectional Study with Private Sector Employees

Personality traits have been extensively studied to understand different behavioral addictions. However, less is known about the relationship of employees’ dark personality traits and work addiction. The purpose of the present study was to examine the associations between the Big Five personality traits (i.e., extroversion, neuroticism, agreeableness, openness, conscientiousness) and dark personality traits (i.e., narcissism, Machiavellianism, psychopathy, sadism, and spitefulness) with work addiction. A total of 514 private sector employees completed a survey that included psychometric assessment tools for the aforementioned variables. Hierarchical regression analysis indicated that lower extroversion, lower openness to experience, higher narcissism, and higher spitefulness were positively associated with work addiction among private sector employees. The findings of the present study suggest that dark personality traits should also be taken into account in order to better understand work addiction among employees.

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Background

Behavioral inhibition/activation systems (BIS/BAS) and impulsivity are associated with problematic smartphone use (PSU). However, no studies to date have explored how the subdomains of BIS/BAS and the dimensions of impulsivity relate to the components of PSU in a joint framework. This study aimed to examine the relationships between the three constructs at a fine-grained level and identify the central nodes and bridge nodes of their relationships using network analysis.

Methods

A regularized partial correlation network of PSU, BIS/BAS, and impulsivity communities was estimated to investigate the connections between variables and determine the expected influence and bridge expected influence for each variable based on data from 325 Chinese adults. PSU, BIS/BAS, and impulsivity were assessed using the Smartphone Application-Based Addiction Scale (SABAS), BIS/BAS scales, and Barratt Impulsiveness Scale-Version 11 (BIS-11), respectively.

Results

In addition to connections within each community, network analysis revealed that there were connections between different communities, especially connections to PSU. I2 "motor impulsivity" was strongly associated with PSU2 "conflict" and PSU6 "relapse"; BASR "BAS-reward responsiveness" was strongly associated with PSU5 "withdrawal." Nodes BASR "BAS-reward responsiveness" and PSU6 "relapse" were the most central variables, while nodes BASR "BAS-reward responsiveness" and I2 "motor impulsivity" were the strongest bridge variables.

Conclusion

The connections between the subdomains of BIS/BAS and the components of PSU and between the dimensions of impulsivity and the components of PSU may be particularly important in the development and maintenance of PSU. The central variables identified here, along with the bridge variables, could be promising and effective targets for the prevention and intervention of PSU.

Dark Tetrad, Acceptance of Sexual Violence, and Sexism

Abstract. The Dark Tetrad is a cluster of four “dark” personality traits which are socially aversive, with distinct conceptual roots, but which are intercorrelated: narcissism, psychopathy, Machiavellianism, and sadism. Narcissism is associated with inflated self-esteem and feelings of grandiosity; psychopathy involves reduced empathy and a lack of remorse or guilt; Machiavellianism is characterized by a tendency for manipulation for own personal benefit; sadism involves feelings of pleasure with the pain or suffering of others. Sexism is the group of beliefs linked with the perceived superiority of men over women. Previous studies have found relationships between the Dark Tetrad and the tolerance of the use of sexual violence and between the former and sexism. Furthermore, sexism has been linked with the acceptance of sexual violence. This study aims to revise the literature exploring the link between each of the components of the Dark Tetrad and the legitimation of the use of sexual violence; it also aims to present the associations that have been found between the aforementioned variables and sexism and related concepts, in multiple studies. Based on the previous literature, suggestions for aims of future research in this field (i.e., Dark Tetrad, sexual violence, sexism) are made, more specifically exploring the relative effect of each of the components of the Dark Tetrad in the explanation of the legitimation of sexual violence, as well as exploring a possible, at least partial, mediation of sexism in the link between each of the “dark” traits and the acceptance of sexual violence.

A network analysis of the Internet Disorder Scale-Short Form (IDS9-SF): A large-scale cross-cultural study in Iran, Pakistan, and Bangladesh

The Internet Disorder Scale-Short Form (IDS9-SF) is a validated instrument assessing internet disorder which modified the internet gaming disorder criteria proposed in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, the relationships between the nine items in the IDS9-SF are rarely investigated. The present study used network analysis to investigate the features of the IDS9-SF among three populations in Bangladesh, Iran, and Pakistan. Data were collected (N = 1901; 957 [50.3%] females; 666 [35.0%] Pakistani, 533 [28.1%] Bangladesh, and 702 [36.9%] Iranians) using an online survey platform (e.g., Google Forms). All the participants completed the IDS9-SF. The central-stability-coefficients of the nine IDS9-SF items were 0.71, 0.89, 0.96, 0.98, 0.98, 1.00, 0.67, 0.79, and 0.91, respectively. The node centrality was stable and interpretable in the network. The Network Comparison Test (NCT) showed that the network structure had no significant differences among Pakistani, Bangladeshi, and Iranian participants (p-values = 0.172 to 0.371). Researchers may also use the IDS9-SF to estimate underlying internet addiction for their target participants and further explore and investigate the phenomenon related to internet addiction.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03284-8.

A Network Analysis of the Fear of COVID-19 Scale (FCV-19S): A Large-Scale Cross-Cultural Study in Iran, Bangladesh, and Norway

The rapid spread of the coronavirus disease 2019 (COVID-19) has led to high levels of fear worldwide. Given that fear is an important factor in causing psychological distress and facilitating preventive behaviors, assessing the fear of COVID-19 is important. The seven-item Fear of COVID-19 Scale (FCV-19S) is a widely used psychometric instrument to assess this fear. However, the factor structure of the FCV-19S remains unclear according to the current evidence. Therefore, the present study used a network analysis to provide further empirical evidence for the factor structure of FCV-19S. A total of 24,429 participants from Iran (n = 10,843), Bangladesh (n = 9906), and Norway (n = 3680) completed the FCV-19S in their local language. A network analysis (via regularized partial correlation networks) was applied to investigate the seven FCV-19S items. Moreover, relationships between the FCV-19S items were compared across gender (males vs. females), age groups (18−30 years, 31−50 years, and >50 years), and countries (Iran, Bangladesh, and Norway). A two-factor structure pattern was observed (three items concerning physical factors, including clammy hands, insomnia, and heart palpitations; four items concerning psychosocial factors, including being afraid, uncomfortable, afraid of dying, and anxious about COVID-19 news). Moreover, this pattern was found to be the same among men and women, across age groups and countries. The network analysis used in the present study verified the two-factor structure for the FCV-19S. Future studies may consider using the two-factor structure of FCV-19S to assess the fear of COVID-19 during the COVID-19 era.

Light and Dark core of personality and the adherence to COVID-19 containment measures: The roles of motivation and trust in government

The present study investigated the relationship between the Light and Dark Core of personality and self-reported adherence to COVID-19 containment measures. A gender-balanced representative sample of 600 Slovaks participated in the study. We formulated a mediation model, hypothesising that the relationship between Light and Dark Core and self-reported adherence is mediated by the motivation to comply with the measures. The results of structural equation modelling showed that self-reported adherence was positively related to the Light Core and this relationship was also mediated by motivation. The Dark Core, in turn, showed a negative relationship with the adherence, while no mediation was found. Importantly, the findings of both Light and Dark Core models remained robust after including trust in government. The present study contributes to theory by providing first results corroborating the existence of Light Core of personality. The findings of this study can also help to better shape the communications about containment measures to address both individuals with high levels of benevolent and malevolent traits.

A Network Analysis of the Association Between Intergroup Contact and Intergroup Relations

PURPOSE

Intergroup contact is an effective strategy to improve intergroup relationships. Although intergroup relationships have been studied extensively, the individual roles of quantity and quality of contact in relationships with cognition, emotion, and intention of behavior toward other ethnic minority groups are not fully understood. This study explores the situation via network analysis among Zhuang and Yao ethnic minorities in Southwest China.

METHODS

We investigated the quantity and quality of intergroup contact and cognition, emotion, and intention of behavior among a sample of 543 Zhuang and 490 Yao ethnic group members. Data were analyzed using the R-package. Network structures were analyzed via the Qgraph package, and the accuracy and stability of the network were measured via the Bootnet package; communities were detected via the Igraph package; bridge analyses were conducted via the Networktools package; and the network difference was compared via the Network Comparison Test package.

RESULTS

The results indicated perceived intimacy is the central node. Quantity of contact constructed a community with "perceived connection," "sense of community," "knowledge about out-group," and "perceived similarity." Meanwhile, quality of contact constructed a community with "intergroup attitude" and a "feeling thermometer." The remainder of the nodes constructed two additional communities. The network global connectivity and structure between the two ethnic groups were highly similar.

CONCLUSION

The study examined the quantity and quality of intergroup contact via network analysis for two ethnic minority groups. It was shown that the two groups' global network structures of intergroup contact and their effects are highly similar. Specifically, quantity and quality of contact produce different effects on intergroup relations. Quantity of contact has proximal effects, including instant cognitive and emotional response without depth cognition, while quality of contact has proximal effects that may change deep-seated cognition and subsequently improve intergroup relations.

Applying network analysis to understand the relationships between impulsivity and social media addiction and between impulsivity and problematic smartphone use

BACKGROUND

Prior studies have revealed the relationships between impulsivity and social media addiction (SMA) and between impulsivity and problematic smartphone use (PSU) based on total scores on standardized self-report scales. However, there has been a lack of studies exploring how the dimensions of impulsivity and components of SMA or PSU are interrelated. The present study aimed to investigate the structural relationships between the dimensions of impulsivity and components of SMA and PSU and determine the critical bridge node using network analysis.

METHODS

A total of 325 healthy adults aged 18-36 years participated in the study. SMA and PSU were assessed using the Bergen Social Media Addiction Scale (BSMAS) and Smartphone Application-Based Addiction Scale (SABAS), respectively. Impulsivity was measured by the Barratt Impulsiveness Scale Version 11 (BIS-11). Network analysis was used to construct an SMA-Impulsivity network and a PSU-Impulsivity network. Bridge centrality (bridge expected influence, BEI) was estimated to identify influential bridge nodes.

RESULTS

In addition to relationships within each community, network analysis revealed that the dimensions of impulsivity were closely associated with the components of SMA and PSU. Particularly, I2 "motor impulsivity" had a relatively strong connection with SMA3 "mood modification" and SMA4 "relapse" in the SMA-Impulsivity network, and with PSU2 "conflict" and PSU5 "withdrawal" in the PSU-Impulsivity network. Moreover, I2 "motor impulsivity" was identified as the most critical bridge node in both networks.

CONCLUSION

These findings demonstrate potential pathways between different dimensions of impulsivity and the components of SMA and PSU, providing new evidence relevant to understanding the underlying mechanisms that account for how highly impulsive individuals develop SMA and PSU, and highlight the critical bridge node-motor impulsivity-that may be a promising and effective target for the prevention and treatment of SMA and PSU.

A network perspective on marital satisfaction among older couples

It will be helpful for older people to maintain good mental health by improving their marital satisfaction. The present study investigates how the elements of marital satisfaction among older couples are related to each other and reveal the key elements. Four hundred ninety-four older people participated in the study. Marital satisfaction was assessed by the 10-item marital satisfaction subscale of the ENRICH scale. Network analysis was adopted to estimate the network structure of these 10 items and the strength centrality of each item was calculated. The results showed that all edges in the final network were positive. Four edges with the strongest regularized partial correlations appeared between “ leisure activities and spending time together” and “ emotional expression”; “ personality and habits” and “ communication and understanding”; “ economic status and the manner of determining economic affairs” and “ relationship with relatives and friends”; and “ make decisions and resolve conflict” and “ emotional expression.” In addition, “ emotional expression” had the highest node strength value in the network. “ Communication and understanding” and “ views are consistent” had the second and third highest node strength values, respectively. “ Views are consistent” was more central in males than females and was the second central node in male networks. In conclusion, the present study offers a new perspective to deepen the understanding about the internal structure of marital satisfaction among older couples via network analysis. The results might provide potential targets of intervention for social workers or family therapists to greatly improve marital satisfaction among older couples.

Dark triads, tetrads, tents, and cores: Why navigate (research) the jungle of dark personality models without a compass (criterion)?

This comprehensive review summarizes and evaluates the present state of the Dark Triad research literature (or more broadly, the dark personality trait literature), and as such serves both a pedagogical purpose, by providing an introduction or primer on the dark personality literature and a scientific purpose by directing future research on key issues that still have not been sufficiently addressed. In this review, we discuss and critique current operational conceptualizations of what it means for a personality trait to be classified as 'dark'. Also discussed is the Dark Core, as well as quantitative issues such as limitations of commonly used statistical treatments, such as multivariate analyses, bifactor modeling, and composite measures, and proposed solutions to some of these issues. Based on a comprehensive and critical appraisal of the literature, future directions are suggested to drive the dark trait field towards a more organized, parsimonious, and productive future.

Dark or disturbed?: Predicting aggression from the Dark Tetrad and schizotypy

Research on the personality foundations of aggression typically implicates either (a) aspects of the so-called "Dark Tetrad" or (b) severe mental disturbance (psychosis). The appearance of psychotic symptoms in general populations is termed schizotypy. We conducted two studies to compare the effects of dark personalities and schizotypy on aggression. Study 1 used standard inventories to investigate the overlap of Dark Tetrad traits with schizotypy in a sample of 977 undergraduates. All tetrad traits except narcissism were positively associated with schizotypy, but only at moderate levels. Study 2 administered the same personality battery to 303 members of an online community sample: Aggression outcomes were measured with both self-reports and a behavioral measure-the Voodoo Doll Task. Regression analyses determined the unique contributions of the five personality variables. Two dark traits-psychopathy and sadism-were strong predictors of self-report aggression. Schizotypy added incrementally to the Dark Tetrad in predicting both self-report and behaviorally measured aggression.

Character matters: The network structure of leader character and its relation to follower positive outcomes

We investigated the relationship between self-ratings of leader character and follower positive outcomes-namely, subjective well-being, resilience, organizational commitment, and work engagement-in a public-sector organization using a time-lagged cross-sectional design involving 188 leader-follower dyads and 22 offices. Our study is an important step forward in the conceptual development of leader character and the application of character to enhance workplace practices. We combined confirmatory factor analysis and network-based analysis to determine the factorial and network structure of leader character. The findings revealed that a model of 11 inter-correlated leader character dimensions fit the data better than a single-factor model. Further, judgment appeared as the most central dimension in a network comprising the 11 character dimensions. Moreover, in a larger network of partial correlations, two ties acted as bridges that link leader character to follower positive outcomes: judgment and drive. Implications for theory and practice are discussed.

Understanding juveniles' problematic smartphone use and related influencing factors: A network perspective

BACKGROUND AND AIMS

To understand the interaction between problematic smartphone use (PSU) and related influencing factors (individual variables, family environment, and school environment) and to determine the most influential factors affecting the use of smartphones by juveniles to implement effective interventions in the future.

METHODS

A total of 3,442 children and adolescents (3,248 actual participants (males = 1,638, average age = 12.27 ± 2.36)) were included in the study. This study measured juveniles' PSU and its influencing factors: individual variables (4 factors), family environments (13 factors), and school environments (5 factors). This study employed a network analysis approach for data assessment.

RESULTS

This study found that there were several central influencing factors (such as self-control ability, loss of control, parent-child relationship, and peer attitudes towards smartphone use) and bridge factors (such as peer attitudes towards smartphone use, peer pressure for smartphone use, and fear of missing out).

DISCUSSION AND CONCLUSIONS

Juveniles' PSU included several core symptoms and critical influencing factors. Intervention based on these factors may be effective, timely, and inexpensive.

The item network and domain network of burnout in Chinese nurses

Background

As a common social phenomenon, nurses’ occupational burnout has a high incidence rate, which seriously affects their mental health and nursing level. The current assessment mostly uses the total score model and explores the influence of external factors on burnout, while the correlation between burnout items or dimensions is less explored. Ignoring the correlation between the items or dimensions may result in a limited understanding of nurse occupational burnout. This paper explores the item and dimension network structure of the Maslach Burnout Inventory-General Survey (MBI-GS) in Chinese nurses, so as to gain a deeper understanding of this psychological construct and identify potential targets for clinical intervention.

Methods

A total of 493 Chinese nurses were recruited by cluster sampling. All participants were invited to complete the survey on symptoms of burnout. Network analysis was used to investigate the item network of MBI-GS. In addition, community detection was used to explore the communities of MBI-GS, and then network analysis was used to investigate the dimension network of MBI-GS based on the results of community detection. Regularized partial correlation and non-regularized partial correlation were used to describe the association between different nodes of the item network and dimension network, respectively. Expected influence and predictability were used to describe the relative importance and the controllability of nodes in both the item and dimension networks.

Results

In the item network, most of the strongly correlated edges were in the same dimension of emotional exhaustion (E), cynicism (C) and reduced professional efficacy (R), respectively. E5 (Item 5 of emotional exhaustion, the same below) “I feel burned out from my work”, C1 “I have become more callous toward work since I took this job”, and R3 “In my opinion, I am good at my job” had the highest expected influence (z-scores = 0.99, 0.81 and 0.94, respectively), indicating theirs highest importance in the network. E1 “I feel emotionally drained from my work” and E5 had the highest predictability (E1 = 0.74, E5 = 0.74). It shows that these two nodes can be interpreted by their internal neighbors to the greatest extent and have the highest controllability in the network. The spinglass algorithm and walktrap algorithm obtained exactly the same three communities, which are consistent with the original dimensions of MBI-GS. In the dimension network, the emotional exhaustion dimension was closely related to the cynicism dimension (weight = 0.65).

Conclusions

The network model is a useful tool to study burnout in Chinese nurses. This study explores the item and domain network structure of nurse burnout from the network perspective. By calculating the relevant indicators, we found that E5, C1, and R3 were the most central nodes in the item network and cynicism was the central node in the domain network, suggesting that interventions aimed at E5, C1, R3 and cynicism might decrease the overall burnout level of Chinese nurses to the greatest extent. This study provides potential targets and a new way of thinking for the intervention of nurse burnout, which can be explored and verified in clinical practice.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-021-00670-8.

An investigation of spitefulness in violent offenders: Associations with the dark triad and emotion dysregulation

BACKGROUND

Spitefulness is the inclination to inflict harm to someone else even at one's own expenses. The development of a self-report measure (the Spitefulness Scale [SS]) has fostered the investigation of the relationships between spitefulness and aggression-related variables.

OBJECTIVE

The present study aims to investigate the construct of spitefulness in violent offenders. Through a translation/back-translation procedure, the SS was translated into Italian, and its psychometric properties were examined.

METHOD

A sample of 249 male violent offenders and 172 male community participants filled out the SS, the Self-Report Psychopathy Scale-IV, the Difficulties in Emotion Regulation Scale and the Dirty Dozen Scale.

RESULTS

Confirmatory factor analysis results supported the unidimensional factor structure of the SS. Further results indicated that the scale had good internal consistency and met criteria for configural invariance, partial weak invariance and partial strong invariance across samples. Correlational analyses evidenced positive and significant associations between the SS scores and measures of the dark triad and emotion dysregulation. The offender sample scored significantly higher than the community sample on the SS.

CONCLUSION

Results support the internal structure and construct validity of the SS, suggesting its potential utility for the study of the construct of spitefulness in violent offenders. © 2020 John Wiley & Sons, Ltd.

Leader dark personality and team agreeableness: a recipe for volatile team performance

Purpose

This paper aims to examine the effects of the leaders’ dark triad (DT) personality traits, namely, Machiavellianism, Narcissism and Psychopathy, on the team performance variability. Furthermore, this work explores the role of team agreeableness in the above relationship.

Design/methodology/approach

The study is based on the longitudinal and archival data obtained from the sales team (team leaders: n = 190; team members: n = 832) of 19 firms dealing with fast-moving consumer goods in India.

Findings

From the finding of the study, it can be inferred that the presence of DT traits in the leaders causes high fluctuations in team performance. Besides, team agreeableness was found to moderate the relationship between the DT traits of the leaders and the team performance variability.

Originality/value

The theoretical and practical implications of the study are also discussed.

A network analysis of problematic smartphone use symptoms in a student sample

BACKGROUND AND AIMS

Previous research has established risk factors for problematic smartphone use (PSU), but few studies to date have explored the structure of PSU symptoms. This study capitalizes on network analysis to identify the core symptoms of PSU in a large sample of students.

METHODS

This research investigated 26,950 grade 4 students (male = 13,271) and 11,687 grade 8 students (male = 5,739) using the smartphone addiction proneness scale (SAPS). The collected data were analyzed using a network analysis method, which can provide centrality indexes to determine the core symptoms of PSU. The two networks from the different groups were compared using a permutation test.

RESULTS

The results indicated that the core symptoms of students' problematic smartphone use were the loss of control and continued excessive use across the two samples.

DISCUSSION AND CONCLUSIONS

These findings suggest that loss of control is a key feature of problematic smartphone use. The results also provide some evidence relevant to previous research from the perspective of network analysis and some suggestions for future treatment or prevention of students' problematic smartphone use.

Examining the conceptual and empirical distinctiveness of Agreeableness and "dark" personality items

OBJECTIVE

A growing research literature has focused on what have been termed "dark" personality traits/constructs. More recently, the "dark factor" of personality has been proposed as a unifying framework for this research. To date, little work has rigorously investigated whether the traits/constructs investigated in the context of the dark factor can be captured by existing models of normative personality, namely Agreeableness from the Five-factor Model. Thus, the "dark factor" may be an instance of the "jangle" fallacy, where two constructs with different names are in fact the same construct.

METHOD

We used a preregistered approach that made use of bass-ackward factor analysis, structural equation modeling, and nomological network analysis to investigate the distinction between the D factor and Agreeableness.

RESULTS

Agreeableness and the D factor were similar in their coverage of antagonistic personality content, strongly negatively related (latent r = -.90), and showed near perfect profile dissimilarity (r_ICC  = -.99).

CONCLUSIONS

The results suggested that the D factor can be understood as the opposite pole of Agreeableness (i.e., antagonism) and not as a distinct construct. We discuss the implications for researchers interested in continuing to advance the study of antagonistic personality traits.

The Network Structure of Decision-Making Competence in Chinese Adults

Decision-making competence refers to the ability to make better decisions, as defined by decision-making principles posited by models of rational choice. The adult decision-making competence (A-DMC) scale is a relatively mature evaluation tool used for decision-making competence. However, the A-DMC is yet far from other mature psychological evaluation tools, and especially the structure of A-DMC remains unclear. In the current study, we estimated a regularized partial correlation network of decision-making competence in a Chinese sample consisting of 339 adults who were evaluated by the A-DMC, and then the centrality indicators were calculated. The results revealed that all nodes of the decision-making competence networks are positively associated, except for the association of resistance to framing (RF) and resistance to sunk costs (SC). The strongest edge was between RF and applying decision rules (DR; regularized partial correlation = 0.37). The centrality indicators of RF and applying DR were highest, revealing that these two variables may play important roles in the decision-making competence network. Our study conceptualizes the decision-making competence from network perspectives, so as to provide some insights for future researches.