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Abstract

A comprehensive overview of the field and its future trajectories is needed to gain insight into how psychological research on well-being has progressed over time and what needs to be addressed. Previous reviews on well-being tend to have limited scope or contain subjective inferences about the state of research on well-being, resulting in fragmented insights and a lack of a comprehensive view of the research on well-being. To address this limitation, we used bibliometric methods to map the intellectual structure of the entire field of well-being science and provide a more comprehensive view of the research. We used a database of over 30,000 primary documents downloaded from Web of Science and leveraged three bibliometric methods: historiography, document co-citation analysis, and bibliographic coupling. The findings shed light on the (1) evolution of well-being science over time, (2) the underlying structure of the intellectual field and its current state, and (3) the future trajectory of the field and emerging topics. Based on our findings, we provide three future directions for well-being science: (i) embracing diversity and broadening the scope of well-being scholarship, (ii) transcending beyond dichotomous perspectives of well-being, and (iii) harnessing advanced methods and measures for a stronger scientific foundation. By offering objective insights and interpretations derived from multiple analyses of well-being research, this paper serves as a valuable resource for researchers, policymakers, and practitioners. It provides guidance and direction in addressing the challenges related to defining, measuring, and advancing our understanding of well-being, fostering progress in the field.

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In intensive longitudinal designs individuals are measured with high frequency over time. Sometimes there are multiple bursts of measurement, yielding multi-phase longitudinal data, which allow for evaluation of behavioral change at multiple timescales. From a systems theory perspective, a process that exhibits change occurring simultaneously at multiple time scales is non-stationary. Although recent methodological developments, such as dynamic systems models with time-varying parameters, have the capacity of handling non-stationarity, a more comprehensive framework may be needed for better analyzing multi-subject and multi-phase (interrupted) time series data. In this study, we propose a Bayesian growth of hierarchical autoregression (GoHiAR) model, which combines autoregressive (AR) and growth curve models (GCM) to simultaneously evaluate developmental changes in multifaceted dynamic characteristics (e.g., baseline, variability, and regulation) of psychological processes as well as individual differences in these changes. We applied the proposed model to an ecological momentary assessment (EMA) study that had an mHealth intervention phase to investigate changes of dynamic characteristics of psychological well-being process, specifically in meaning of life. Findings suggested that participants generally experienced decreased fluctuation and increased regulation of meaning of life over the course of the intervention, but the mHealth intervention did not result in credible added benefit.
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Despite the growing deployment of network representation throughout psychological sciences, the question of whether and how networks can systematically describe the effects of psychological interventions remains elusive. Towards this end, we capitalize on recent breakthrough in network control theory, the engineering study of networked interventions, to investigate a representative psychological attitude modification experiment. This study examined 30 healthy participants who answered 11 questions about their attitude toward eating meat. They then received 11 arguments to challenge their attitude on the questions, after which they were asked again the same set of questions. Using this data, we constructed networks that quantify the connections between the responses and tested: 1) if the observed psychological effect, in terms of sensitivity and specificity, relates to the regional network topology as described by control theory, 2) if the size of change in responses relates to whole-network topology that quantifies the “ease” of change as described by control theory, and 3) if responses after intervention could be predicted based on formal results from control theory. We found that 1) the interventions that had higher regional topological relevance (the so-called controllability scores) had stronger effect (r > 0.5), the intervention sensitivities were systematically lower for the interventions that were “easier to control” (r = -0.49), and that the model offered substantial prediction accuracy (r = 0.36). Finally, we compared results based on subjective as well as data-driven models and found that, across all tests, the results from the data-driven approach explained a larger size of effect. Taken together, our results suggest that psychological interventions can be studied using network control theory and that data-driven models provide a reliable medium.
Article
For half a century, the dominant paradigm in psychotherapy research has been to develop syndrome-specific treatment protocols for hypothesized but unproved latent disease entities, as defined by psychiatric nosological systems. While this approach provided a common language for mental health problems, it failed to achieve its ultimate goal of conceptual and treatment utility. Process-based therapy (PBT) offers an alternative approach to understanding and treating psychological problems, and promoting human prosperity. PBT targets empirically established biopsychosocial processes of change that researchers have shown are functionally important to long terms goals and outcomes. By building on concepts of known clinical utility, and organizing them into coherent theoretical models, an idiographic, functional-analytic approach to diagnosis is within our grasp. We argue that a multi-dimensional, multi-level extended evolutionary meta-model (EEMM) provides consilience and a common language for process-based diagnosis. The EEMM applies the evolutionary concepts of context-appropriate variation, selection, and retention to key biopsychosocial dimensions and levels related to human suffering, problems, and positive functioning. The EEMM is a meta-model of diagnostic and intervention approaches that can accommodate any set of evidence-based change processes, regardless of the specific therapy orientation. In a preliminary way, it offers an idiographic, functional analytic, and clinically useful alternative to contemporary psychiatric nosological systems.
Article
The objective of the present study is twofold: (1) to show the aims and means of quantitative interpretation of bibliographic features in bibliometrics and their re-interpretation in research policy, and (2) to summarise the state-of-art in self-citation research. The authors describe three approaches to the role of author self-citations and possible conflicts arising from the different perspectives.L’objectif de cette étude est de caractériser les effets de quantification comme appliqués dans la bibliométrie et leur interprétation en politique de recherche. Nous présentons un sommaire de la recherche en ce qui concerne le phénomène des auto-citations et nous décrivons trois possibilités d’expliquer les auto-citations aussi bien que les conflits qui résultent de ces points de vues.
Article
The effect of a grateful outlook on psychological and physical well-being was examined. In Studies 1 and 2, participants were randomly assigned to 1 of 3 experimental conditions (hassles, gratitude listing, and either neutral life events or social comparison); they then kept weekly (Study 1) or daily (Study 2) records of their moods, coping behaviors, health behaviors, physical symptoms, and overall life appraisals. In a 3rd study, persons with neuromuscular disease were randomly assigned to either the gratitude condition or to a control condition. The gratitude-outlook groups exhibited heightened well-being across several, though not all, of the outcome measures across the 3 studies, relative to the comparison groups. The effect on positive affect appeared to be the most robust finding. Results suggest that a conscious focus on blessings may have emotional and interpersonal benefits.
Article
Clinical science seems to have reached a tipping point. It appears that a new paradigm is beginning to emerge that is questioning the validity and utility of the medical illness model, which assumes that latent disease entities are targeted with specific therapy protocols. A new generation of evidence-based care has begun to move toward process-based therapies to target core mediators and moderators based on testable theories. This could represent a paradigm shift in clinical science with far-reaching implications. Clinical science might see a decline of named therapies defined by set technologies, a decline of broad schools, a rise of testable models, a rise of mediation and moderation studies, the emergence of new forms of diagnosis based on functional analysis, a move from nomothetic to idiographic approaches, and a move toward processes that specify modifiable elements. These changes could integrate or bridge different treatment orientations, settings, and even cultures.
Article
Seligman (2011) hypothesized that PERMA (Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment) are the elements of well-being. Goodman, Disabato, Kashdan & Kaufmann (2017) reported strong evidence that subjective well-being is the final common path of such elements and their data are entirely consistent with Seligman’s hypothesis. They argued, incorrectly however, that he suggested that PERMA constituted a different kind of well-being rather than just its building blocks. The complicated issue, one that transcends psychometrics, of how to decide on elements of well-being is discussed.
Article
The empirical science of subjective well-being, popularly referred to as happiness or satisfaction, has grown enormously in the past decade. In this Review, we selectively highlight and summarize key researched areas that continue to develop. We describe the validity of measures and their potential biases, as well as the scientific methods used in this field. We describe some of the predictors of subjective well-being such as temperament, income and supportive social relationships. Higher subjective well-being has been associated with good health and longevity, better social relationships, work performance and creativity. At the community and societal levels, cultures differ not only in their levels of well-being but also to some extent in the types of subjective well-being they most value. Furthermore, there are both universal and unique predictors of subjective well-being in various societies. National accounts of subjective well-being to help inform policy decisions at the community and societal levels are now being considered and adopted. Finally we discuss the unknowns in the science and needed future research.
Article
We compared Seligman’s PERMA model of well-being with Diener’s model of subjective well-being (SWB) to determine if the newer PERMA captured a type of well-being unique from the older SWB. Participants were 517 adults who completed self-report measures of SWB, PERMA, and VIA character strengths. Results from four analytic techniques suggest the factor underlying PERMA is capturing the same type of well-being as SWB. Confirmatory factor analysis yielded a latent correlation of r = 0.98 between SWB and PERMA. Exploratory structural equation modeling found two highly related factors (r = 0.85) that did not map onto PERMA and SWB. SWB and PERMA factors showed similar relationships with 24 character strengths (average correlation difference = 0.02). Latent profile analyses yielded subgroups of people who merely scored high, low, or mid-range on well-being indicators. Our findings suggest that while lower-order indicators SWB and PERMA have unique features, they converge onto a single well-being factor.
Article
Objectives: Sports coaching can be an inherently stressful occupation because coaches must fulfill multiple roles and cope with various expectations. Further, stress and well-being have implications for coach performance. The objective of this study was, therefore, to conduct a systematic review of literature on stressors, coping, and well-being among sports coaches. Design: A systematic review using PRIMSA guidelines. Method: Thorough and systematic literature searches of PsycINFO, SPORTDiscus, and Web of Science were conducted. To be eligible for inclusion, papers had to be published in the English language between January 1994 and March 2016 and as full papers in peer-reviewed journals. Results: The final sample consisted of 38 studies that were conducted with 4,188 sports coaches. This sample consisted of 19 qualitative, 17 quantitative, and two mixed methods studies. The findings demonstrate that coaches experience a variety of stressors relating to their performance and that of the athletes they work with in addition to organizational, contextual, interpersonal, and intrapersonal stressors. The findings also highlight that coaches use a variety of coping strategies (e.g., problem solving, social support, escaping the stressful environment) to reduce the negative outcomes of stress. Five studies that were included in this review focused on coaches’ well-being and found that basic psychological needs satisfaction, lack of basic psychological needs thwarting, and self-determined motivation are needed for coaches to be psychologically well. Conclusion: Future research should address gaps in extant literature by using longitudinal study designs to explore coaches’ appraisals of stressors, coping effectiveness, social support, and well-being among the unique sports coaching population. Keywords: cognitive-affective, cognitive-motivational-relational, high performance, transactional
Article
In the book Flourish (2011), Seligman defined wellbeing in terms of five pillars: Positive emotion, Engagement, Relationships, Meaning, and Accomplishment, or PERMA. We developed the PERMA-Profiler as a brief measure of PERMA. We first compiled hundreds of theoretically relevant items. Three studies ( N = 7,188) reduced, tested, and refined items, resulting in a final set of 15 questions (three items per PERMA domain). Eight additional filler items were added, which assess overall wellbeing, negative emotion, loneliness, and physical health, resulting in a final 23-item measure. A series of eight additional studies ( N = 31,966) were conducted to test the psychometrics of the measure. The PERMA-Profiler demonstrates acceptable model fit, internal and cross-time consistency, and evidence for content, convergent, and divergent validity. Scores are reported visually as a profile across domains, reflecting the multidimensional nature of flourishing. The PERMA-Profiler adds to the toolbox of wellbeing measures, allowing individuals to monitor their wellbeing across multiple psychosocial domains.
Article
Contemporary classification systems for mental disorders assume that abnormal behaviors are expressions of latent disease entities. An alternative to the latent disease model is the complex network approach. Instead of assuming that symptoms arise from an underlying disease entity, the complex network approach holds that disorders exist as systems of interrelated elements of a network. This approach also provides a framework for the understanding of therapeutic change. Depending on the structure of the network, change can occur abruptly once the network reaches a critical threshold (the tipping point). Homogeneous and highly connected networks often recover more slowly from local perturbations when the network approaches the tipping point, potentially making it possible to predict treatment change, relapse, and recovery. In this article, we discuss the complex network approach as an alternative to the latent disease model and its implications for classification, therapy, relapse, and recovery.
Article
The traditional view of translating research to policy is reframed as a complex multidirectional interaction based on international case studies presented at the 2015 Active Living Research conference. The United Kingdom developed a process for reviewing and synthesizing evidence to inform policy, but policy makers were often ahead of the guidance. In Australia, translation of research to policy has been facilitated by brokering the relationship between researchers and policy makers. The best example of dissemination of the evidence for physical activity promotion into a national program comes from
Chapter
This chapter reviews the literature on culture and well-being focusing on the following three topics: (a) historical and cultural variations in concepts of well-being, (b) measurement and methodological issues, and (c) cultural differences in mean levels, correlates, and consequences of well-being. The three main theses of this chapter are (a) there are diverse lay concepts of happiness and well-being across times and cultures, ranging from "fortune and good luck" to "the satisfaction of one's desires" to "pleasure and enjoyment," (b) therefore, well-being should be assessed using diverse measures that tap into these different concepts of well-being, and (c) national differences in mean levels, correlates, and consequences of well-being should be interpreted with the diversity of lay concepts of and beliefs about happiness and the limitations of different measures (e.g., global vs. online reports of well-being) in mind.
Article
Counseling psychologists are in a prime position to claim preeminence in the field of applied positive psychology. A number of misunderstandings or misconceptions of positive psychology seem to interfere, however, with the focus (or lack thereof) that has been placed upon training counseling psychologists to utilize and contribute to positive psychological scholarship and applications. In this article, the most commonly reported misconceptions are addressed, and foundational information regarding positive psychological constructs, theories, and processes most relevant to the applied work of counseling psychologists is reviewed. Counseling psychologists are encouraged to claim positive psychology as the logical extension of our humanistic roots and to consider how to both utilize and contribute to the growing body of positive psychological scholarship.