Triad Model Research Articles

Social media addiction, personality traits, and disorders: an overview of recent literature.

The rapid proliferation of social media has raised concerns regarding the maladaptive use of these platforms. Individuals exhibiting specific personality traits and disorders may be particularly vulnerable to the adverse outcomes associated with social media addiction. Despite the increasing research attention this topic has received, the relationship between personality traits, personality disorders, and addiction to social media remains fragmented and unclear. Research has primarily investigated the association between Big Five and Dark Triad model personality traits and social media addiction. Findings indicate that while most of the traits within the Big Five model vary in terms of significance, personality disorders and traits within the Dark Triad, which are generally associated with maladaptive thoughts and behaviors, are positively related to addictive social media use. Personality traits and disorders play a vital role in individuals' behavior. Research shows discrepancies in the relationship between certain traits in the Big Five model and social media addiction, warranting further investigation. At the same time, research also underscores the role of social media in potentially exacerbating conditions for those with personality disorders.

‘The Food Must Reach the Hungry’: Lessons from Judicial Enforcement of Right to Food in India

Abstract Food security and securing right to food for all is one of the essential mandate for a welfare State especially for achieving aspiring targets of Sustainable Development Goals 2030. Judicialisation of right to food is a substantial way through which right to food can be protected and implemented at domestic level. The Indian experience of right to food adjudication depicts that the Supreme Court has carved out an expansive role for itself through judicial activism to secure the fundamental rights of the citizens. The PUCL case, popularly called as right to food case has set off a cascade of judicial action and made India a model showing how courts can effectively implement socio-economic rights through judicial intervention. This model of adjudicatory leadership by the constitutional courts shows a remedy-oriented approach which have overcome the normative concerns of democratic legitimacy and polycentricity. Courts have strengthened the institutional legitimacy through participatory democracy with citizens and adjudicated multifaceted policy concerns. The author put forth the emergence of ‘triad model’ of adjudication where interaction of courts, local bodies and citizens makes enforcement of the right more practicable. The article concludes that Courts can be a catalyst for transforming public policy implementation by securing basic right to the citizens through innovative remedies.

From Model to Practice: A Qualitative Study on Factors Influencing the Implementation of the Active Recovery Triad (ART) Model in Long-Term Mental Health Care.

Background: The Active Recovery Triad (ART) model provides a framework for recovery-oriented care in the long-term mental health setting. The aim of this study is to gain insight into factors influencing the implementation process of the ART model. Methods: Focus groups were conducted with fourteen multidisciplinary teams that were in the process of implementing the ART model. Data were thematically analyzed. Results: Three phases of implementation were identified. In the first phase, getting started, support from both the top of the organization and the care workers, sufficient information to care workers, service users, and significant others, and creating momentum were considered crucial factors. In the second phase, during implementation, a stable team with a good team spirit, leadership and ambassadors, prioritizing goals, sufficient tools and training, and overcoming structural limitations in large organizations were seen as important factors. In the third phase, striving for sustainability, dealing with setbacks, maintaining attention to the ART model, and exchange with other teams and organizations were mentioned as core factors. Conclusions: The findings may support teams in making the shift from traditional care approaches towards recovery-oriented care in long-term mental health care.

Recovery-oriented care in long-term mental health settings: Relationship between the active recovery triad (ART) model, recovery-oriented care, and recovery of service users.

The active recovery triad (ART) model provides guidelines for recovery-oriented care in long-term mental health care. The aim of this study is to evaluate whether compliance to the principles of the ART model is related to recovery-oriented care, service user recovery and satisfaction. A prospective study was conducted including two measurements, in which we investigated compliance to the principles of the ART model (ART fidelity), recovery-oriented care as measured by the Recovery-Oriented Practices Index-Revised (ROPI-R) at team level (n = 18) and outcome measures on service user level (n = 101) related to personal recovery, social roles, level of functioning, clinical recovery, transition, and satisfaction. We used multilevel modeling to evaluate these relationships. There was a significant association between active recovery triad (ART) fidelity and the ROPI-R. We did not find a significant association between overall ART fidelity and service user outcomes. Yet, we did find that higher ART fidelity in the domains "cooperation in the triad," "professionalization of staff," and "team structure" were related to improved clinical recovery, functioning, social roles, and performance of activities. However, higher ART fidelity in the domain "healing environment" was related to poorer functioning, and a higher score in the domain "safety and prevention of coercion" was related to poorer social roles and performance of activities. We can conclude that compliance to the principles of the ART model is related to recovery-oriented care, measured with the ROPI-R. In addition, the findings suggest that in particular elements in the ART model are related to meaningful recovery outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Proposing the Community Triad Model to action social accountability in medical schools

This article is the third in a series exploring drivers of social accountability (SA) in medical schools across Canada. Findings from the two previous articles have highlighted a central relationship between community, students, and faculty at medical schools, and led to the emergence of a new social accountability model– the Community Triad Model (CTM). The CTM proposes an interconnectedness between community, students, faculty, and the broader institution, and the pathways through which community-based learning directly and indirectly influences decision-making in medical institutions. This article explores the relationships between the three arms of the CTM by examining the literature on community engagement and SA, as well as by revisiting popular models and foundational SA reports to garner insights into authentic community engagement in health professions education. While there is an abundance of literature demonstrating the impact of community placements on students, there are limited studies describing the influence of communities on faculty and the broader institution either directly, or indirectly via students. The authors recommend that institutions be more intentional in engaging students and faculty, and learn from their experiences with community to shape curriculum, practices, policies, and culture of the broader institution. This study offers an operational model of SA that is easy to adopt and implement. It intends to demonstrate how the components of the triad (students, faculty/leadership, community) function together in the community engagement and social accountability of medical schools.

Adaptability of a Business and Superior Performance: Triad Model of Dynamic Capabilities

This study examines the relationship between business adaptability and superior performance. The researchers used Exploratory Factor Analysis and Kruskal-Wallis statistics to analyze data from a survey of 227 companies associated with a University Center. The study found that the Triad Model of Dynamic Capabilities, which includes Sense, Seize, and Transform components, explained 78.38% of the variance in business adaptability. The findings confirm the importance of Sense, Seize, and Transform capabilities in sustaining competitive advantage, as demonstrated by the observed superior performance of the organizations. The originality of the paper lies in identifying higher-order capabilities associated with business adaptability in organizations across different sectors.

Recovery-oriented care in Teams Working with the ART Model in long-term Mental Health care: A Qualitative Study on the Experiences of Service Users and Their Significant Others

The Active Recovery Triad (ART) model provides a framework for recovery-oriented care in long-term mental health settings. The aim of this study is to gain insight into the experiences and views of service users and their significant others regarding care and support they receive from teams working with the ART model. Semi-structured interviews were performed with nineteen service users and five significant others of teams operating in Dutch long-term mental health care. Data were analyzed using thematic analysis. The three core principles of the ART model formed the deductive basis of the analysis and for every principle themes were identified inductively. Under the principle ‘Active’, service users mentioned that they feel motivated, work actively on personal recovery goals and have dreams for the future. Service users valued the service as a safe environment, but several service users also preferred to live more independently. Under the principle ‘Recovery’, participants reported how the dimensions of recovery (health, personal identity, daily life and community functioning) were addressed in care and support. Also, specific conditions for recovery-oriented care were identified, for example regarding specific expertise of care providers. Under the principle ‘Triad’ the support from significant others, contact with care workers and with other service users were identified as important. The insights regarding what is important for service users and their significant others may contribute to the improvement of care and support in long-term mental health care. In addition, the findings of this study provide directions for the further development of the ART model.

The unsung heroes of practicum mentorship: Moving toward a triad model inclusive of student voice to support student teachers’ professional learning

Classroom students are rarely, if ever, acknowledged in scholarly literature as having a support role in the teaching practicum. This qualitative study examined strategies adopted by seven student teachers in Quebec (Canada) to invite their high school students to inform their professional learning during a 12-week practicum. Drawing on positioning theory, findings support a shift toward a contemporary practicum mentorship model that encourages a reciprocal relationship between student teachers and their classroom students. This study invites initial teacher education programs to consider more collaborative, non-hierarchical mentor relationships that are inclusive of various voices and experiences.

Ballistic impact modeling of woven composites using the microplane triad model with meso-scale damage mechanisms

Existence of undulating fill and warp yarns in woven composite laminae introduces complex unit cell geometries and multi-scale interactions among the constituents. Due to these, the failure process involves various meso-scale constituent-level failure modes under complex loading scenarios such as ballistic impact. This can be challenging to model via conventional macro-scale damage tensor-based models. This challenge is tackled here via the adaptation of the previously developed multi-scale microplane triad model to ballistic impact of woven composites. The model can resolve meso-scale constituent level details (including yarn undulations) and predict not only the elastic constants of a woven lamina but also its fracturing behavior. In the present adaptation, only two damage laws are formulated, one for the fibers and one for the matrix. This enables the model to embody the correct values of the intralaminar mode I and II fracture energies of the woven lamina. The model is calibrated using constituent and lamina level test data, and then used to predict the ballistic impact behavior of a single plain-woven lamina under a wide range of projectile impact velocities. The model is demonstrated to predict very well the projectile residual (rebound and exit) velocities, the energy dissipation, the major failure modes of the lamina and the corresponding extent of damage, as well as the ballistic limit and deformation cone wave propagation speeds. The model’s simple, conceptually clear architecture, and computational efficiency represent a major advantage compared to existing damage tensor-based models. The model is also extended to multi-layer thick section woven laminate impact, where the analyses consider both intralaminar and interlaminar failures. The predictions are found to be comparable to those from MAT162, a commercially available material model in LS-Dyna, with much better computational efficiency. Via detailed sensitivity studies, it is demonstrated that the mode I and II intralaminar fracture energies of the lamina are a crucial model input, necessary for accurate predictions of ballistic impact. Not knowing these can introduce significant uncertainty and therefore, their characterization is an absolute must. Finally, the optimal meshing considerations as well as the advantages and limitations of the microplane triad model are discussed.

Supplemental Material for Recovery-Oriented Care in Long-Term Mental Health Settings: Relationship Between the Active Recovery Triad (ART) Model, Recovery-Oriented Care, and Recovery of Service Users

Supplemental Material for Recovery-Oriented Care in Long-Term Mental Health Settings: Relationship Between the Active Recovery Triad (ART) Model, Recovery-Oriented Care, and Recovery of Service Users

A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses

Within the realm of privacy-preserving machine learning, empirical privacy defenses have been proposed as a solution to achieve satisfactory levels of training data privacy without a significant drop in model utility. Most existing defenses against membership inference attacks assume access to reference data, defined as an additional dataset coming from the same (or a similar) underlying distribution as training data. Despite the common use of reference data, previous works are notably reticent about defining and evaluating reference data privacy. As gains in model utility and/or training data privacy may come at the expense of reference data privacy, it is essential that all three aspects are duly considered. In this paper, we conduct the first comprehensive analysis of empirical privacy defenses. First, we examine the availability of reference data and its privacy treatment in previous works and demonstrate its necessity for fairly comparing defenses. Second, we propose a baseline defense that enables the utility-privacy tradeoff with respect to both training and reference data to be easily understood. Our method is formulated as an empirical risk minimization with a constraint on the generalization error, which, in practice, can be evaluated as a weighted empirical risk minimization (WERM) over the training and reference datasets. Although we conceived of WERM as a simple baseline, our experiments show that, surprisingly, it outperforms the most well-studied and current state-of-the-art empirical privacy defenses using reference data for nearly all relative privacy levels of reference and training data. Our investigation also reveals that these existing methods are unable to trade off reference data privacy for model utility and/or training data privacy, and thus fail to operate outside of the high reference data privacy case. Overall, our work highlights the need for a proper evaluation of the triad model utility / training data privacy / reference data privacy when comparing privacy defenses.

Contesting Language Ideologies in the Linguistic Schoolscapes in an Indonesian Multilingual School: A Case Study

The educational institution serves as a platform where diverse language ideologies intersect, particularly within multilingual schools. These language ideologies can shape how students perceive and use languages and influence policies and practices within the institution. Understanding and navigating these intersections is crucial for promoting inclusive and equitable language education. This study examines the perception of language ideological contests within the linguistic schoolscape of a multilingual country, specifically Indonesia. This article utilizes a triad model proposed by Lefebvre (1991) and Trumper-Hecht (2010) as its conceptual framework and employs the linguistic landscape as its methodological tool. The analysis focuses on school signs within a multilingual school setting. The findings suggest that Indonesian, English, and Chinese languages are employed within educational environments. The prevailing ideologies observed within this educational environment encompass globalization, ethnic identity, and nationality. These ideologies influence the choice of languages taught and prioritized in the curriculum and the attitudes and expectations toward each language.

(In)Congruence in Perceived Mother-child Cohesion and Informants' Depressive Symptoms: A Dyadic Response Surface Analysis.

Mother-child cohesion, reflecting the emotional connection between mothers and children, is a protective factor for individuals' mental health. The Modified Operations Triad Model suggests that children and mothers hold either congruent or incongruent views of their perceived cohesion, which reflects family functioning and is an indication of future mental health outcomes for family members. Despite increasing research on the impact of (in)congruence in perceived family functioning on children's mental health, few studies concurrently address the mental health of both mothers and children, overlooking their interdependence. This longitudinal study with multi-informant reports explored the long-term and developmental effects of (in)congruence in perceived mother-child cohesion on informants' depressive symptoms. A total of 577 families participated at the first time point, comprising 577 children (52.34% girls, Mage = 10.11 years) and 577 mothers (Mage = 37.32 years). The Dyadic Response Surface Analysis revealed that mother-child congruence at high levels of cohesion (versus low levels) predicted fewer depressive symptoms in mothers and children after three and nine months, as well as decreased depressive symptoms over nine months. Children who reported higher levels of cohesion than their mothers experienced fewer depressive symptoms after three months. Mothers with higher levels of cohesion than their children reported fewer depressive symptoms after three months. The current findings emphasize the importance of identifying and resolving discrepancies in perceived mother-child cohesion between mothers and children to promote a healthy family environment.

The association between workplace physical environment and nurses’ safety compliance: A serial mediation of psychological and behavioral factors

AimThis study describes Jordanian intensive care unit nurses' satisfaction with their physical environment and investigates the association between workplace physical environment and nurses' safety compliance. Additionally, the study offers serial mediation analyses of psychological and behavioral factors between satisfaction with the workplace physical environment and nurses’ safety compliance. IntroductionCompliance with safety measures is a vital indicator of safety performance, as less compliance directly reflects undesirable safety outcomes among nurses, like occupational accidents, injuries, and fatalities. Social cognitive theory and the safety triad model contribute to understanding safety compliance behaviors to safety procedures. Thus, enhancing safety compliance in healthcare organizations remains a challenge and concern. MethodsA quantitative research method was used based on cross-sectional and descriptive data from eight governmental hospitals in Jordan. The population included all intensive care unit nurses in the Ministry of Health's hospitals (n = 1104). A cluster sampling technique selected 285 nurses to participate. Empirical results were obtained through structural equation modeling (i.e., Smart PLS-SEM), which has become popular in this kind of research. ResultsThe mean of Jordanian ICU nurses' satisfaction with the workplace physical environment was 3.36, which is moderate. Although the Smart PLS findings did not support the direct association between the workplace physical environment and nurses' safety compliance, serial mediation of safety participation in the workplace physical environment and nurses’ safety compliance and perceived safety management commitment confirm the indirect association in the study model. ConclusionThis study fills a gap in available safety and nursing literature, especially when considering the scarce studies that investigated the physical elements in the workplace and both safety compliance and safety participation. The findings are valuable for academicians, health providers, and policymakers and may trigger creative ideas and interventional solutions to improve nurses’ safety compliance in healthcare organizations.

Triadic spatial distance and social media assets for food tourists

ABSTRACT This paper examines the potential impact of the triadic social interaction instigated by spatial distance between author, reader, and business that detects tourists’ geographical decision patterns. A social media asset for brands is a digital presence that encourages positive consumer responses in media communication. Using 2,129 items of author-reader-business paired review data, the findings indicate that geographical proximity between the review triad has assimilated patterns to assess reviews. Spatial regression analysis visualized spatial heterogeneity across US regions, showing that a lower spatial distance between tourists and businesses positively improved media assets; in contrast, close spatial proximity had a strong impact among peer tourists. As spatially heterogeneous tourists positively accept media sharing toward the business, the review triad model imposes the varying effects of triadic spatial distance that helps tourism policymakers implement an effective location-based social media marketing strategy for the food tourism industry.

(In)congruence in child-mother relationships and depressive symptoms in cross-boundary families.

A large number of school-aged children traveling between Mainland China and Hong Kong every day to attend school are known as cross-boundary students (). Daily cross-boundary schooling is likely to be a constant challenge for cross-boundary students and their families, putting them at great risk of mental health problems (e.g., depression). Nevertheless, intergenerational relationships may be positive contributors to their adaptation. Guided by the interdependence theory and the operations triad model, this study employed dyadic response surface analysis to take into account linear and curvilinear associations between child-mother relationships and their depressive symptoms. The cross-sectional results based on 187 child-mother dyads showed that when children and mothers reported relatively high levels of closeness and relatively low levels of conflict, they reported fewer depressive symptoms. The extreme closeness between children and their mothers posed particular risks to mothers, increasing maternal depressive symptoms. When children and mothers reported varying levels of closeness and conflict, they displayed greater depressive symptoms. One exception was that no significant association was observed between incongruence in closeness and children's depressive symptoms. Family-based interventions should be considered for promoting optimal child-mother combinations. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Social Triad Model: Considering the Deployer in a Novel Approach to Trust in Human–Robot Interaction

There is an increasing interest in considering, measuring, and implementing trust in human-robot interaction (HRI). New avenues in this field include identifying social means for robots to influence trust, and identifying social aspects of trust such as a perceptions of robots’ integrity, sincerity or even benevolence. However, questions remain regarding robots’ authenticity in obtaining trust through social means and their capacity to increase such experiences through social interaction with users. We propose that the dyadic model of HRI misses a key complexity: a robot’s trustworthiness may be contingent on the user’s relationship with, and opinion of, the individual or organisation deploying the robot (termed here, Deployer). We present a case study in three parts on researching HRI and a LEGO® Serious® Play focus group on care robotics to indicate how Users’ trust towards the Deployer can affect trust towards robots and robotic research. Our Social Triad model (User, Robot, Deployer) offers novel avenues for exploring trust in a social context.

LIGHT TRIAD PERSONALITY TRAITS AND COPING STRATEGIES IN TEACHERS

Studies show that work-related stress among teachers is high. Job satisfaction and interactions with students are influenced by teachers’ coping skills with stressful situations and differences in response to stressful events can be explained by personality traits. The present study uses the Light Triad model of personality to examine whether prosocial traits such as empathy, compassion and altruism are associated with cognitive-emotional coping strategies in teachers. The prosocial orientation was measured using the Light Triad Scale (Johnson, 2018) and The Cognitive-Emotional Regulation Questionnaire (Garnefski et al., 2007) was used to identify teachers’ cognitive-emotional coping strategies, in relation to negative events or situations. The participants in this study included 120 Romanian teachers from different levels of preuniversitary education. The results revealed that empathy and altruism have small negative correlations with catastrophizing; all three prosocial traits are associated with the positive reappraisal, empathy positively correlates with accepting negative events and refocusing on planning and altruism positively correlates with accepting negative events and putting into perspective. We also found a positive correlation between empathy and rumination. Our findings extend the current understanding of the relationship between teachers’ prosocial personality traits and the coping strategies they use following negative life events.

Evidence-Based Assessment in Special Education Research: Advancing the Use of Evidence in Assessment Tools and Empirical Processes

Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We advance EBA in three sections in this article. First, we describe an empirically grounded framework, the Operations Triad Model (OTM), to inform EBA decision-making in the articulation of relevant educational theory. Originally designed for interpreting mental health assessments, we describe features of the OTM that facilitate its fusion with educational theory, namely its falsifiability. In turn, we cite evidence to support the OTM's ability to inform hypothesis generation and testing, study design, instrument selection, and measurement validation. Second, we describe quality indicators for interpreting psychometric data about measurement tools, which informs both the development and selection of measures and the process of measurement validation. Third, we apply the OTM and EBA to research in special education in two contexts: (a) empirical research for causal explanation and (b) implementation science research. We provide open data resources to advance measurement validation and conclude with future directions for research.

Analysis of tourism sustainability synthetic indicators. A case study of Aragon

Tourism sustainability is a long-term exploration process of human beings seeking to coexist harmoniously with the ecological environment. The core of sustainable tourism development is to achieve the harmonious development of the economy, society, and environment. Aragon's rich tourism resources attract many tourists, and the local government has formulated a sustainable development strategy to develop tourism vigorously. This paper constructs a tool to assess the sustainable development of tourism in Aragon based on the theory of sustainable tourism development and related methods. It proposes the construction of synthetic indicators based on the environmental-social-economic triad model, identifies individual indicators suitable for the study of the region based on indicators that appear more frequently in related studies, and defines and evaluates these indicators. We construct the matrices by questionnaire and expert consultation method and find that environmental and social factors significantly impact sustainable development. The indicators are then standardized and weighted using hierarchical analysis to determine the level of sustainable development of the local tourism industry based on the standard for assessing sustainable tourism development. The steps and methods of constructing synthetic indicators proposed in this paper can guide future analysis of the strengths and weaknesses of tourism development in Aragon and similar areas under different conditions, as well as for the study of factors affecting tourism development, and provide targeted suggestions for improving the competitiveness of local tourism, taking into account regional tourism characteristics and actual conditions.