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Reciprocal Associations Between Positivity and Positive Affect During the COVID ‐19 Pandemic
Abstract
In this study, the associations between positivity and positive affect were examined at five time points between January 2020 and September 2021, a period of turmoil associated with the COVID‐19 pandemic. Data were collected from 1401 students (73.45% women) attending an online university in Spain, commencing at the outbreak of the pandemic and then at four different time points up to the time it was considered to have been controlled. The results of a cross‐lagged panel model revealed that participants who maintained higher general positivity were also those who reported more intense overall positive affect. At the same time, above‐average positive affect predicted higher‐than‐usual levels of positivity. By pointing to the reciprocal relationships between positivity and positive affect, the results corroborate and go beyond previous findings by highlighting a virtuous cycle in which positivity and positive affect reciprocally influence each other over time. These data are in accordance with a dynamic view of how self‐focused, positive evaluative dispositions and chronic positive affective states operate in concert to enhance adaptation and well‐being. The practical implications of these findings are discussed.
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Background
Several intergovernmental organizations, including the World Health Organization and United Nations, are urging countries to use well-being indicators for policymaking. This trend, coupled with increasing recognition that positive affect is beneficial for health/well-being, opens new avenues for intervening on positive affect to improve outcomes. However, it remains unclear if positive affect in adolescence shapes health/well-being in adulthood. We examined if increases in positive affect during adolescence were associated with better health/well-being in adulthood across 41 outcomes.
Methods and findings
We conducted a longitudinal cohort study using data from Add Health—a prospective and nationally representative cohort of community-dwelling U.S. adolescents. Using regression models, we evaluated if increases in positive affect over 1 year (between Wave I; 1994 to 1995 and Wave II; 1995 to 1996) were associated with better health/well-being 11.37 years later (in Wave IV; 2008; N = 11,040) or 20.64 years later (in Wave V; 2016 to 2018; N = 9,003). Participants were aged 15.28 years at study onset, and aged 28.17 or 37.20 years—during the final assessment. Participants with the highest (versus lowest) positive affect had better outcomes on 3 (of 13) physical health outcomes (e.g., higher cognition (β = 0·12, 95% CI = 0·05, 0·19, p = 0.002)), 3 (of 9) health behavior outcomes (e.g., lower physical inactivity (RR = 0·80, CI = 0·66, 0·98, p = 0.029)), 6 (of 7) mental health outcomes (e.g., lower anxiety (RR = 0·81, CI = 0·71, 0·93, p = 0.003)), 2 (of 3) psychological well-being (e.g., higher optimism (β = 0·20, 95% CI = 0·12, 0·28, p < 0.001)), 4 (of 7) social outcomes (e.g., lower loneliness (β = −0·09, 95% CI = −0·16, −0·02, p = 0.015)), and 1 (of 2) civic/prosocial outcomes (e.g., more voting (RR = 1·25, 95% CI = 1·16, 1·36, p < 0.001)). Study limitations include potential unmeasured confounding and reverse causality.
Conclusions
Enhanced positive affect during adolescence is linked with a range of improved health/well-being outcomes in adulthood. These findings suggest the promise of testing scalable positive affect interventions and policies to more definitively assess their impact on outcomes.
Background
COVID-19 pandemic has seen a rise in psychological problems. However, little is known about the role of positivity and personality traits in facing the pandemic. Therefore, we aimed at investigating whether higher positivity was associated with a better emotional, behavioural and cognitive response to COVID-19, taking into account the role of the big five traits.
Methods
We performed a cross-sectional multiple waves study with 5,002 participants representative of the Italian general population (May 2021 and March 2022). The Ten Item Personality Inventory was used for the evaluation of the big five traits, while the Positivity Scale for the assessment of positivity. Statistical analyses included linear regression models and Principal Component Analysis (PCA).
Results
The main predictors of Preventive behaviours of COVID-19 were Conscientiousness (β=0.100, p<0.001) and Agreeableness (β=0.117, p<0.001), while the main predictor in explaining self-efficacy in preventing COVID-19 infection was Positivity (β=0.141, p<0.001). Neuroticism (β=-0.186, p<0.001) and Positivity (β=0.094, p<0.001) predicted the Affective response related to the COVID-19 pandemic.
Discussion
Positivity has a protective role in buffering the negative effects of the pandemic on people’s affective response, as well as supporting stronger self-efficacy and confidence about the usefulness of the vaccine, and higher preventive behaviours, over and above personality traits. The results of the sensitivity analysis using the first two components of the big five traits Communion and Agency confirmed the results of the linear regressions of the big five traits: communion is the main predictor of Preventive behaviours of COVID-19, while self-efficacy of preventing COVID-19 infection.
Discussion
Positivity has a protective role in buffering the negative effects of the pandemic on people’s affective response, as well as supporting stronger self-efficacy and confidence about the usefulness of the vaccine, and higher preventive behaviours, over and above personality traits.
The current study examined how two theoretical constructs change individually and in conjunction with each other over a twelve-year period during young adulthood (i.e., ages 19 to 31). Assessments included prospective self-report measures (n = 546) collected during seven developmental time points at two-year intervals. Research questions regarding intra-individual variability in the change and inter-individual differences in economic pressure and positivity and the interplay between these developmental processes were investigated by using an autoregressive latent trajectory model. Results showed that there was no evidence of a causal relationship between economic pressure and positivity while there were correlational associations between economic pressure and positivity across time. The negative correlations may imply that individuals who generally had high levels of economic pressure were more likely to have low levels of positivity during young adulthood. These results suggest that prevention efforts should strive to promote positivity as well as reduce the root causes of economic pressure. Further implications of the results are discussed.
Despite several empirical studies on the 2019 coronavirus disease (COVID-19) pandemic that have highlighted its detrimental effect on individuals’ mental health, the identification of psychological factors that may moderate its impact on individuals’ behavior and well-being remains partly unexplored. The present study was conceived to examine the mediation role of regulatory emotional self-efficacy in the relationship between positivity and anxiety, depression, and perceived self-efficacy in complying with the containment measures to contrast the COVID-19 spread. Furthermore, the moderation role of age was tested. A sample of 1258 participants (64.2% women; Mage = 42.09, SD = 13.62) enrolled from the Italian general population answered an online survey aimed at investigating the role of individual differences in facing the COVID-19 pandemic. We opted for a snowball recruiting procedure to find participants. The online survey was disseminated through email invitation and using social media platforms (i.e., Facebook, Instagram). A multi-group path analysis model was performed using Mplus 8.4 to explore the hypothesized relations among variables. The following criteria were employed to evaluate the goodness of fit: χ2 likelihood ratio statistic, CFI and TLI > 0.95, RMSEA < 0.06 and SRMR < 0.08. The findings corroborated the protective role of both positivity and regulatory emotional self-efficacy in reducing individuals’ anxiety and depressive symptoms, as well as in fostering individuals’ capabilities in complying with the containment measures imposed by the government to reduce the risk of illness and to contain the spread of the virus COVID-19. Specifically, regulatory emotional self-efficacy beliefs partially mediated the relations between positivity and anxiety and depressive symptoms and fully mediated the effect of positivity on perceived self-efficacy beliefs in complying with the containment measures. These paths were equal across ages. The results of the present study appear relevant to implementing psychological interventions aimed to reduce the deleterious effects of the COVID-19 pandemic on mental health through the promotion of individuals’ optimistic orientation and emotion regulation.
The present study examined how neuroticism, extraversion, and emotion regulation were related to loneliness and well-being during 6 weeks of major public life restrictions in the Covid-19 pandemic in Switzerland. Cross-sectional results from 466 participants showed that neuroticism and emotion regulation strategies were associated with higher loneliness and lower well-being. However, in contrast to prior research, associations of extraversion with loneliness and well-being were weak and were qualified by interactions with emotion regulation. For introverts, maladaptive cognitive strategies such as rumination or catastrophizing were related to higher levels of loneliness. For extraverts, emotion suppression was related to lower levels of affective well-being. Individuals with low maladaptive regulation reported higher well-being the longer the public life restrictions were in place at the time of study participation. These findings suggest that first, extraversion may lose some of its protective value for loneliness and well-being when opportunities to engage in social activities are limited; second, that loneliness and well-being do not decrease over 6 weeks of public life restrictions; and third, that future studies should further investigate the moderating role of emotion regulation on the link between personality, loneliness, and well-being.
The random intercept cross-lagged panel model (RI-CLPM) is rapidly gaining popularity in psychology and related fields as a structural equation modeling (SEM) approach to longitudinal data. It decomposes observed scores into within-unit dynamics and stable, between-unit differences. This paper discusses three extensions of the RI-CLPM that researchers may be interested in, but are unsure of how to accomplish: (a) including stable, person-level characteristics as predictors and/or outcomes; (b) specifying a multiple-group version; and (c) including multiple indicators. For each extension, we discuss which models need to be run in order to investigate underlying assumptions, and we demonstrate the various modeling options using a motivating example. We provide fully annotated code for lavaan (R-package) and Mplus on an accompanying website.
Psychological impact of the COVID-19 pandemic: Negative and positive effects in Spanish people during the mandatory national quarantine Abstract: The COVID-19 pandemic has been spreading rapidly in Spain. The objective of this work was to examine the psychological impact of the pandemic and the Spanish national quarantine that took place during March and April 2020. We investigated the prevalence of fear of coronavirus, emotional symptoms and sleep problems. We also examined possible positive effects. A sample of 1,161 participants (aged 19 to 84 years) completed online the Coronavirus Psychological Impact Questionnaire, the Intolerance to Uncertainty Scale–12, and the Positive and Negative Affect Schedule. Results indicated that the most common fears pertain to the domains of contagion/disease/death, social isolation, and employment/income issues. We found high levels of emotional impact reflected in fear of coronavirus, sleep problems, and emotional symptoms (preoccupation, distress, hopelessness, depression, anxiety, nervousness, and restlessness). Regression analyses revealed that intolerance to uncertainty and social media exposure are strong predictors of the impact. We also found some effects of the COVID-19 quarantine favoring positive personal experiences. A new self-report instrument to assess psychological impact of coronavirus is provided. Keywords: COVID-19; coronavirus; anxiety; depression; distress; sleep problems; intolerance to uncertainty; media exposure; positive effects.Resumen: La pandemia COVID-19 se ha extendido rápidamente en España. El objetivo del estudio fue examinar el impacto psicológico de la pandemia y el confinamiento nacional vivido en España durante los meses de marzo y abril de 2020. Se investigó la prevalencia del miedo al coronavirus, los síntomas emocionales, y los problemas de sueño. También examinamos los posibles efectos positivos. Una muestra de 1.161 participantes (edad: 19-84 años) cumplimentó online el Cuestionario de Impacto Psicológico del Coronavirus, la Escala de Intolerancia a la Incertidumbre –12, y las escalas PANAS de afecto positivo y negativo. Los resultados indican que los miedos más comunes corresponden a las categorías de contagio/enfermedad/muerte, aislamiento social, y problemas de trabajo/ingresos. Encontramos niveles elevados de impacto emocional reflejado en los miedos al coronavirus, problemas de sueño, y síntomas emocionales (preocupación, estrés, desesperanza, depresión, ansiedad, nerviosismo, e inquietud). La intolerancia a la incertidumbre y la exposición a los medios de comunicación son poderosos predictores del impacto. También encontramos que el confinamiento favorecía algunas experiencias personales positivas. Se aporta un nuevo instrumento de autoinforme para la evaluación del impacto psicológico del coronavirus.Palabras clave: COVID-19; coronavirus; ansiedad; depresión; distrés; problemas de sueño; intolerancia a la incertidumbre; medios de comunicación; efectos positivos.
Despite the well-established protective functions of positivity (i.e., a dispositional self-evaluative tendency to view oneself, life, and future under a positive outlook) from middle adolescence to old age, its reliable assessment and contribution to a proper psychological functioning have received little attention during previous developmental phases. In this article, we aimed to evaluate the psychometric properties and construct validity of the eight-item Positivity Scale (P Scale; Caprara et al., 2012) during late childhood and early adolescence in a sample of British students (N = 742; 48% boys) from both primary (Mage = 10.75, SD = 0.52) and secondary schools (Mage = 13.38 years, SD = 0.94). First, results from confirmatory factor analysis (CFA) attested to the plausibility of the hypothesized 1-factor structure of the P Scale in a revised CFA model including the correlation between the residuals of two items similar in their wording. Next, we found evidence for strong (scalar) measurement invariance of the P Scale across late childhood and early adolescence as well as for its concurrent validity as indicated by expected relations of positivity to indicators of adjustment (i.e., prosocial behavior) and maladjustment (i.e., externalizing and internalizing problems). Overall, these findings support the concurrent and factorial validity of the P Scale as a short self-report instrument to measure children’s tendency to view their experience from a positive stance. We discuss the implications of our results for improving the wording of the items composing P Scale as well as for understanding the dispositional mechanisms conducive to psychological health and wellbeing across late childhood and early adolescence.
Positive affect (PA) is associated with better health across a wide range of physical health outcomes. This review reflects on why the study of PA is an essential component of our understanding of physical health and expands on pathways that connect these two variables. To encourage forward movement in this burgeoning research area, measurement and design issues in the study of PA and health are discussed, as are the connections between PA and a range of different health outcomes. Plausible biological, social, and behavioral pathways that allow for positive feelings to get under the skin and influence physical wellness are detailed and framed in the context of several theoretical models. Finally, new directions for the field and important methodological and interpretative considerations that are essential to moving this important research area forward are explored. Expected final online publication date for the Annual Review of Psychology Volume 70 is January 4, 2019. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
As a higher order latent construct, positive orientation captures the common core of an individual's beliefs concerning oneself, life, and the future. This article aims at explaining how positive orientation may relate to activity engagement and stimulate persistence in action. It presents the beliefs‐affect‐engagement model, postulating that positive orientation stimulates positive affect, which in turn fosters activity engagement. A distinction between the trait and state components of positive orientation also is made, and specific mechanisms explaining engagement and persistence concerning the trait and two state components of each construct (relatively stable and temporal‐specific aspects of a state) are discussed. The proposed model may contribute to further development of the positive orientation theory.
The cross-lagged panel model (CLPM), a discrete-time (DT) SEM model, is frequently used to gather evidence for (reciprocal) Granger-causal relationships when lacking an experimental design. However, it is well known that CLPMs can lead to different parameter estimates depending on the time-interval of observation. Consequently, this can lead to researchers drawing conflicting conclusions regarding the sign and/or dominance of relationships. Multiple authors have suggested the use of continuous-time models to address this issue.
In this article, we demonstrate the exact circumstances under which such conflicting conclusions occur. Specifically, we show that such conflicts are only avoided in general in the case of bivariate, stable, nonoscillating, first-order systems, when comparing models with uniform time-intervals between observations. In addition, we provide a range of tools, proofs, and guidelines regarding the comparison of discrete- and continuous-time parameter estimates.
The present study examined in a stringent developmental model whether positivity, conceptualized as a pervasive mode of appraising, viewing, and perceiving life from a positive stance, predicts chronic positive affectivity across time or vice versa. Participants [263 participants (47 % males)], aged 15.5 at the beginning of the study and 23.5 at the end, reported on measures of positivity and dispositional positive affect four times. Longitudinal findings corroborated the posited paths of relations, with positivity significantly predicting positive affectivity across time rather than vice versa.
The aim of the research presented in this article is to investigate the relationship between positive orientation and time perspective as outlined by Zimbardo and Boyd (J Pers Soc Psychol 77:1271–1288, 1999) and extended by an additional form of concentration on the present. The Polish version of the Zimbardo Time Perspective Inventory was used. A third type of present time perspective, namely active concentration on the present, was measured by the Carpe Diem Scale. One hundred and eighty five Polish people (non-students) participated in a survey to which a canonical-correlation analysis and a cluster analysis were applied. Positive orientation was correlated with a balanced temporal profile comprising a strong positive past orientation, moderate concentration on the future, poor fatalistic time perspective, poor concentration on the negative past and moderate active concentration on the present. Whereas a positive orientation is based on a general positive attitude towards life and self, a balanced time perspective reflects a general positive attitude towards time, in which an active concentration on the present plays an important role.
The main purpose of this study was to examine the dimensional structure of the Spanish version of the PANAS, using a large sample of adolescents and young adults (N = 1103, age range 14 to 23). Furthermore, measurement invariance across gender and educational level was tested. Confirmatory factor analyses revealed that a bifactor model and a 3-factor model Positive Affect (PA), Negative Affect (NA) Upset, and NA Afraid (PA and NA uncorrelated) provided the best fit to the data. Multigroup confirmatory factor analyses showed that the 3-factor model of the PANAS had strong measurement invariance across gender and educational level. Results showed statistically significant differences in the latent mean scores. University students scored higher than adolescents in PA, NA Upset, and NA Afraid. Men scored higher than women in PA. The PANAS scores also showed acceptable internal consistency scores (range from .80 to .86). The results found support for the PANAS as a brief and useful tool for the screening PA and NA in adolescents and young adult's populations. These findings hold implications for the study and use of the PANAS in nonclinical populations. Future studies should test measurement invariance of the PANAS scores across cultures. (PsycINFO Database Record
(c) 2015 APA, all rights reserved).
Cross-lagged regression coefficients are frequently used to test hypotheses in panel designs. However, these coefficients have particular properties making them difficult to interpret. In particular, cross-lagged regression coefficients may vary, depending on the respective time lags between different sets of measurement occasions. This article introduces the concept of an optimal time lag. Further, it is demonstrated that optimal time lags in panel studies are related to the stabilities of the variables investigated, and that in unidirectional systems, they may be unrelated to the size of possible true effects. The results presented also suggest that optimal time lags for panel designs are usually quite short. Implications are (a) that interpreting cross-lagged regression coefficients requires taking the time lag between measurement occasions into account, and (b) that in much research, far shorter time lags than those frequently found in the literature are justifiable, and we call for more "shortitudinal" studies in the future. (PsycINFO Database Record
(c) 2015 APA, all rights reserved).
The cross-lagged panel model (CLPM) is believed by many to overcome the problems associated with the use of cross-lagged correlations as a way to study causal influences in longitudinal panel data. The current article, however, shows that if stability of constructs is to some extent of a trait-like, time-invariant nature, the autoregressive relationships of the CLPM fail to adequately account for this. As a result, the lagged parameters that are obtained with the CLPM do not represent the actual within-person relationships over time, and this may lead to erroneous conclusions regarding the presence, predominance, and sign of causal influences. In this article we present an alternative model that separates the within-person process from stable between-person differences through the inclusion of random intercepts, and we discuss how this model is related to existing structural equation models that include cross-lagged relationships. We derive the analytical relationship between the cross-lagged parameters from the CLPM and the alternative model, and use simulations to demonstrate the spurious results that may arise when using the CLPM to analyze data that include stable, trait-like individual differences. We also present a modeling strategy to avoid this pitfall and illustrate this using an empirical data set. The implications for both existing and future cross-lagged panel research are discussed. (PsycINFO Database Record
(c) 2015 APA, all rights reserved).
Whether level 1 predictors should be centered per cluster has received considerable attention in the multilevel literature. While most agree that there is no one preferred approach, it has also been argued that cluster mean centering is desirable when the within-cluster slope and the between-cluster slope are expected to deviate, and the main interest is in the within-cluster slope. However, we show in a series of simulations that if one has a multilevel autoregressive model in which the level 1 predictor is the lagged outcome variable (i.e., the outcome variable at the previous occasion), cluster mean centering will in general lead to a downward bias in the parameter estimate of the within-cluster slope (i.e., the autoregressive relationship). This is particularly relevant if the main question is whether there is on average an autoregressive effect. Nonetheless, we show that if the main interest is in estimating the effect of a level 2 predictor on the autoregressive parameter (i.e., a cross-level interaction), cluster mean centering should be preferred over other forms of centering. Hence, researchers should be clear on what is considered the main goal of their study, and base their choice of centering method on this when using a multilevel autoregressive model.
In this article, the author describes a new theoretical perspective on positive emotions and situates this new perspective within the emerging field of positive psychology. The broaden-and-build theory posits that experiences of positive emotions broaden people's momentary thought-action repertoires, which in turn serves to build their enduring personal resources, ranging from physical and intellectual resources to social and psychological resources. Preliminary empirical evidence supporting the broaden-and-build theory is reviewed, and open empirical questions that remain to be tested are identified. The theory and findings suggest that the capacity to experience positive emotions may be a fundamental human strength central to the study of human flourishing.
This study describes how positivity can be incorporated into the family stress model to explain resilience to disrupted family processes in the face of economic distress. Prospective, longitudinal data came from 451 mothers, fathers, and youth participating from their adolescence through early adulthood. Assessments included observational and self-report measures. Information regarding economic pressure, parental positivity, and parenting were collected during early adolescence, positivity was collected in late adolescence and emerging adulthood. Results indicated that economic pressure was indirectly associated with adolescent positivity through parental positivity. Economic pressure was negatively associated with parent positivity, whereas parental positivity was positively associated with parenting. Moreover, parental positivity and parenting were related to positivity in adolescence. Results suggest that personal resources linked to a positive outlook can foster nurturant parenting, even in times of economic strain. Such parenting seems to positively influence adolescent development into emerging adulthood.
The broaden-and-build theory of positive emotions suggests that positive emotions can widen the range of potential coping strategies that come to mind and subsequently enhance one's resilience against stress. Studies have shown that high stress, especially chronic levels of stress, strongly contributes to the development of anxiety and depressive symptoms. However, researchers have also found that individuals who possess high levels of resilience are protected from stress and thus report lower levels of anxiety and depressive symptoms. Using a sample of 200 postdoctoral research fellows, the present study examined if (a) positive emotions were associated with greater resilience, (b) coping strategies mediated the link between positive emotions and resilience and (c) resilience moderated the influence of stress on trait anxiety and depressive symptoms. Results support the broaden-and-build theory in that positive emotions may enhance resilience directly as well as indirectly through the mediating role of coping strategies—particularly via adaptive coping. Resilience also moderated the association of stress with trait anxiety and depressive symptoms. Although stress is unavoidable and its influences on anxiety and depressive symptoms are undeniable, the likelihood of postdocs developing anxiety or depressive symptoms may be reduced by implementing programmes designed to increase positive emotions, adaptive coping strategies and resilience. Copyright © 2014 John Wiley & Sons, Ltd.
Literature documents that the judgments people hold about themselves, their life, and their future are important ingredients of their psychological functioning and well-being, and are commonly related to each other. In this paper, results from a large cross-sectional sample (N = 1,331, 48% males) are presented attesting to the hypothesis that evaluations about oneself, one’s life, and one’s future rest on a common mode of viewing experiences named "Positive Orientation." These results corroborate the utility of the new construct as a critical component of individuals’ well functioning.
In recent studies of the structure of affect, positive and negative affect have consistently emerged as two dominant and relatively independent dimensions. A number of mood scales have been created to measure these factors; however, many existing measures are inadequate, showing low reliability or poor convergent or discriminant validity. To fill the need for reliable and valid Positive Affect and Negative Affect scales that are also brief and easy to administer, we developed two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS). The scales are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period. Normative data and factorial and external evidence of convergent and discriminant validity for the scales are also presented. (PsycINFO Database Record (c) 2010 APA, all rights reserved)
Five studies document the validity of a new 8-item scale designed to measure positivity, defined as the tendency to view life and experiences with a positive outlook. In the first study (N = 372), the psychometric properties of Positivity Scale (P Scale) were examined in accordance with classical test theory using a large number of college participants. In Study 2, the unidimensionality of the P Scale was corroborated with confirmatory factor analysis in 2 independent samples (N1 = 322; N2 = 457). In Study 3, P Scale invariance across sexes and its relations with self-esteem, life satisfaction, optimism, positive negative affect, depression, and the Big Five provided further evidence of the internal and construct validity of the new measure in a large community sample (N = 3,589). In Study 4, test-retest reliability of the P Scale was found in a sample of college students (N = 262) who were readministered the scale after 5 weeks. In Study 5, measurement invariance and construct validity of P Scale were further supported across samples in different countries and cultures, including Italy (N = 689), the United States (N = 1,187), Japan (N = 281), and Spain (N = 302). Psychometric findings across diverse cultural context attest to the robustness of the P Scale and to positivity as a basic disposition. (PsycINFO Database Record (c) 2012 APA, all rights reserved).
This review highlights consistent patterns in the literature associating positive affect (PA) and physical health. However, it also raises serious conceptual and methodological reservations. Evidence suggests an association of trait PA and lower morbidity and of state and trait PA and decreased symptoms and pain. Trait PA is also associated with increased longevity among older community-dwelling individuals. The literature on PA and surviving serious illness is inconsistent. Experimentally inducing intense bouts of activated state PA triggers short-term rises in physiological arousal and associated (potentially harmful) effects on immune, cardiovascular, and pulmonary function. However, arousing effects of state PA are not generally found in naturalistic ambulatory studies in which bouts of PA are typically less intense and often associated with health protective responses. A theoretical framework to guide further study is proposed.
Numerous studies show that happy individuals are successful across multiple life domains, including marriage, friendship, income, work performance, and health. The authors suggest a conceptual model to account for these findings, arguing that the happiness-success link exists not only because success makes people happy, but also because positive affect engenders success. Three classes of evidence--crosssectional, longitudinal, and experimental--are documented to test their model. Relevant studies are described and their effect sizes combined meta-analytically. The results reveal that happiness is associated with and precedes numerous successful outcomes, as well as behaviors paralleling success. Furthermore, the evidence suggests that positive affect--the hallmark of well-being--may be the cause of many of the desirable characteristics, resources, and successes correlated with happiness. Limitations, empirical issues, and important future research questions are discussed.
The cross-lagged panel model (CLPM) is a widely used technique for examining reciprocal causal effects using longitudinal data. Critics of the CLPM have noted that by failing to account for certain person-level associations, estimates of these causal effects can be biased. Because of this, models that incorporate stable-trait components (e.g., the random-intercept CLPM) have become popular alternatives. Debates about the merits of the CLPM have continued, however, with some researchers arguing that the CLPM is more appropriate than modern alternatives for examining common psychological questions. In this article, I discuss the ways that these defenses of the CLPM fail to acknowledge well-known limitations of the model. I propose some possible sources of confusion regarding these models and provide alternative ways of thinking about the problems with the CLPM. I then show in simulated data that with realistic assumptions, the CLPM is very likely to find spurious cross-lagged effects when they do not exist and can sometimes underestimate these effects when they do exist.
We studied the short-term psychological effects of the COVID-19 crisis and the quarantine on 3550 adults from the Spanish population in a cross-sectional survey. Symptoms of anxiety, depression, and stress were analyzed using the 21-item version of the Depression Anxiety Stress Scale. Symptoms of posttraumatic stress disorder were analyzed using the Impact of Event Scale. Symptomatic scores of anxiety, depression, and stress were observed in 20% to 30% of respondents. Symptomatic scores indicating psychological stress were found in 47.5% of respondents. Similar to the findings of other multiple studies, confinement has been found to have significant emotional impact in the Spanish population.
This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Starting with a cross-lagged approach, this paper builds a general cross-lagged panel model (GCLM) with parameters to account for stable factors while increasing the range of dynamic processes that can be modeled. We illustrate the GCLM by examining the relationship between national income and subjective well-being (SWB), showing how to examine hypotheses about short-run (via Granger-Sims tests) versus long-run effects (via impulse responses). When controlling for stable factors, we find no short-run or long-run effects among these variables, showing national SWB to be relatively stable, whereas income is less so. Our second paper addresses the differences between the GCLM and other methods. Online Supplementary Materials offer an Excel file automating GCLM input for Mplus (with an example also for Lavaan in R) and analyses using additional data sets and all program input/output. We also offer an introductory GCLM presentation at https://youtu.be/tHnnaRNPbXs. We conclude with a discussion of issues surrounding causal inference.
Earlier findings have shown that positive evaluations about oneself, life, and future are related to each other and can be traced to a common latent dimension originally named positive orientation and then positivity. Further findings have led to the development of an eight‐item scale that allows a direct measurement of positivity. A review is presented of the major findings that point to positivity as a basic self‐evaluative disposition and that attest to its relevant impact across domains of functioning. Finally, possible avenues for promoting positivity and to allow individuals to fully benefit from it are discussed.
We reflect on our 2002 article and the impact this research report has had both within and beyond psychological science. This article was both one of the first publications to provide empirical support for hypotheses based on the broaden-and-build theory of positive emotions and a product of the genesis of positive psychology. We highlight empirical and theoretical advancements in the scientific understanding of upward spiral dynamics associated with positive emotions, with particular focus on the new upward spiral theory of lifestyle change. We conclude by encouraging deeper and more rigorous tests of the prospective and reciprocal relations associated with positive emotions. Such progress is needed to better inform translations and applications to improve people’s health and well-being.
Objective:
The purpose of this study was to examine the longitudinal relationship between Positivity (POS), defined as a stable disposition to view at experience under a positive outlook, and physical and psychological functioning in a sample of cancer patients immediately after diagnosis and one year later.
Methods:
110 patients (40% males) with pulmonary, colorectal and breast cancer, aged 30-75 (M age= 59.62; SD=10.33), have been prospectively enrolled between 2012 and 2013, at the S. Andrea Hospital in Rome. All patients were previously aware of their diagnosis. A follow-up one year after diagnosis was conducted. We used SEM in order to analyze the specific effects of POS on functioning impairment from diagnosis to follow up.
Results:
Pos was associated with less functioning impairment both at diagnosis and follow- up assessments. Furthermore, POS level at diagnosis continued to be associated with less functioning impairment one year later, after controlling for its stability.
Conclusions:
Patients with higher level of POS tended to report less symptoms associated with negative affect such as anxiety and despondency and to preserve their habitual relationships and social roles. POS may act as a basic disposition that sustains patients' efforts to deal efficaciously with severe illness, by complying with medical treatment and by using cognitive strategies that enable individuals to cope with concurrent and prospective challenges of illness.
Assessing overall model fit is an important problem in general structural equation models. One of the most widely used fit measures is Bentler and Bonett's (1980) normed index. This article has three purposes: (1) to propose a new incremental fit measure that provides an adjustment to the normed index for sample size and degrees of freedom, (2) to explain the relation between this new fit measure and the other ones, and (3) to illustrate its properties with an empirical example and a Monte Carlo simulation. The simulation suggests that the mean of the sampling distribution of the new fit measure stays at about one for different sample sizes whereas that for the normed fit index increases with N. In addition, the standard deviation of the new measure is relatively low compared to some other measures (e.g., Tucker and Lewis's (1973) and Bentler and Bonett's (1980) nonnormed index). The empirical example suggests that the new fit measure is relatively stable for the same model in different samples. In sum, it appears that the new incremental measure is a useful complement to the existing fit measures.
This study investigated the reciprocal relations between positive self-beliefs (POS) and positive affect (PA) using week-long diaries kept by 268 undergraduate Italian psychology students. An autoregressive latent trajectory analysis was found to be the best statistical model explaining the links between POS and PA. POS and PA levels remained stable over 7 days and they were positively correlated suggesting positive associations between stability in PA and POS across the 7 days. Interestingly, the analysis of cross-lagged paths revealed that the state-like deviations in POS levels significantly predicted later levels of PA, whereas the state-like deviations in PA levels did not predict later levels of POS at all time points. Theoretical and practical implications of these results were discussed.
Evidence shows that people feel mild positive moods when no strong emotional events are occurring, a phenomenon known as positive mood offset. We offer an evolutionary explanation of this characteristic, showing that it improves fertility, fecundity, and health, and abets other characteristics that were critical to reproductive success. We review research showing that positive mood offset is virtually universal in the nations of the world, even among people who live in extremely difficult circumstances. Positive moods increase the likelihood of the types of adaptive behaviors that likely characterized our Paleolithic ancestors, such as creativity, planning, mating, and sociality. Because of the ubiquity and apparent advantages of positive moods, it is a reasonable hypothesis that humans were selected for positivity offset in our evolutionary past. We outline additional evidence that is needed to help confirm that positive mood offset is an evolutionary adaptation in humans and we explore the research questions that the hypothesis generates.
This article presents some benefits and limitations of structural equation models for multivariate experiments with incomplete data. Examples from studies of latent variable path models of cognitive performances illustrate analyses with four different kinds of incomplete data: (a) latent variables, (b) omitted variables, (c) randomly missing data, and (d) non- randomly missing data. Power based cost-benefit analyses for experimental design and planning are also presented. These incomplete data approaches are closely related to models used in classical experimental design, interbattery measurement analysis, longitudinal analyses, and behavioral genetic analyses. These structural equation methods for old experimental design problems indicate some new opportunities for future multivariate research.
The Ideas of Covariance and Covariance Structure. Writing a Simple EQS Program. Statistical Modelling in EQS. Confirmatory Factor Analysis Models. Multitrait-Multimethod and Multiple Cause-Multiple Indicator Models. Models for Longitudinal Data. Simultaneous Analysis of Two or More Groups. Practical Problems.
highlights specific issues that are most relevant to emotional well-being / [attempts] to determine what produces the experience of emotional well-being as defined from a respondent's own perspective
defining and measuring emotional well-being / correlates of emotional well-being / theories on the causes of emotional well-being (PsycINFO Database Record (c) 2012 APA, all rights reserved)
This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and Gamma Hat; a cutoff value close to .90 for Mc; a cutoff value close to .08 for SRMR; and a cutoff value close to .06 for RMSEA are needed before we can conclude that there is a relatively good fit between the hypothesized model and the observed data. Furthermore, the 2‐index presentation strategy is required to reject reasonable proportions of various types of true‐population and misspecified models. Finally, using the proposed cutoff criteria, the ML‐based TLI, Mc, and RMSEA tend to overreject true‐population models at small sample size and thus are less preferable when sample size is small.
The present study investigated how reports of satisfaction with specific versus global domains can be used to assess a disposition towards positivity in subjective well-being reports. College students from 41 societies (N = 7167) completed measures of life satisfaction and ratings of global and specific aspects of their lives. For example, participants rated satisfaction with their education (global) and satisfaction with their professors, textbooks, and lectures (specific). It was hypothesized that global measures would more strongly reflect individual differences in dispositional positivity, that is, a propensity to evaluate aspects of life in general as good. At both the individual and national levels, positivity predicted life satisfaction beyond objective measures. Also, positivity was associated with norms about ideal life satisfaction such that countries and individuals who highly valued positive emotions were more likely to display positivity. The difference between more global versus more concrete measures of satisfaction can be used as an indirect and subtle measure of positivity.
Optimal Functioning: A Review of Current Explorations of Positive Orientation
- G V Caprara
- G Alessandri
Caprara, G. V., and G. Alessandri. 2014. "Optimal Functioning: A Review
of Current Explorations of Positive Orientation." In Psychology Serving
Humanity: Proceedings of the 30th International Congress of Psychology,
Volume 2: Western Psychology, edited by S. Cooper and K. Ratele, 202-214.
London, UK: Psychology Press.
Mplus User's Guide: Statistical Analysis With Latent Variables
- L K Muthén
- B O Muthén
Muthén, L. K., and B. O. Muthén. 1998-2017. Mplus User's Guide: Statistical Analysis With Latent Variables. Eighth ed. Los Angeles, CA: Muth én
& Muthén.