Linear and non-linear relationships among the dimensions representing the cognitive structure of emotion.

While dimensional models play a key role in emotion psychology, no consensus has been reached about their number and nature. The current study sheds a new light on this central issue by examining linear and non-linear relationships among the dimensions in the cognitive emotion structure. The meaning of 80 emotion terms was evaluated on 68 features representing appraisals, action tendencies, bodily reactions, expressions, and subjective experiences by 213 English-speaking US, 156 French-speaking Swiss, and 194 Indonesian-speaking Indonesian students. In a two-dimensional valence and arousal representation, neither linear nor non-linear relationships were observed. In a four-dimensional valence, power, arousal, and novelty representation, both linear (e.g. a positive relationship between valence and power) and non-linear (e.g. a strong positive correlation between valence and power found only for positively valenced emotion terms) relationships were observed. Joy- and sadness-related emotion terms where about as well represented by the two- than by the four-dimensional representation. However, especially anger- and surprise-related terms were only adequately represented by the four-dimensional representation. These findings were generalisable across the three languages. Even though a two-dimensional structure fits the data well in general, four dimensions are needed to sufficiently represent the cognitive structure of the whole gamut of human emotions.

Mental Health During COVID-19 Lockdown in the United Kingdom.

OBJECTIVE: The coronavirus disease (COVID-19) pandemic and related lockdown measures have raised important questions about the impact on mental health. This study evaluated several mental health and well-being indicators in a large sample from the United Kingdom (UK) during the COVID-19 lockdown where the death rate is currently among the highest in Europe. METHODS: A cross-sectional online survey with a study sample that mirrors general population norms according to sex, age, education, and region was launched 4 weeks after lockdown measures were implemented in the UK. Measures included mental health-related quality of life (World Health Organization Quality-of-Life Brief Version psychological domain), well-being (World Health Organization Well-Being Index), depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7), perceived stress (Perceived Stress Scale-10), and insomnia (Insomnia Severity Index). Analyses of variances, Bonferroni-corrected post hoc tests, and t tests were applied to examine mental health indicators across different sociodemographic groups (age, sex, employment, income, physical activity, relationship status). RESULTS: The sample comprised n = 1006 respondents (54% women) from all regions of the UK. Approximately 52% of respondents screened positive for a common mental disorder, and 28% screened positive for clinical insomnia. Mean scores and standard deviations were as follows: Patient Health Questionnaire-9, mean = 9.0 ± 7.7; Generalized Anxiety Disorder-7, mean = 8.0 ± 6.5; Insomnia Severity Index, mean = 10.4 ± 7.0; Perceived Stress Scale-10, mean = 17.7 ± 7.9; World Health Organization Quality-of-Life Brief Version, mean = 58.6 ± 21.4; and World Health Organization Well-Being Index score, mean = 13.0 ± 6.0. Statistical analyses consistently indicated more severe mental health problems in adults younger than 35 years, women, people with no work, and people with low income (all p values < .05). Mental health indices also varied across UK regions. CONCLUSIONS: The prevalence of depressive, anxiety, and insomnia symptoms is significantly higher in the UK relative to prepandemic epidemiological data. Further studies are needed to clarify the causes for these high rates of mental health symptoms.

Emotional Reactions to Cybersecurity Breach Situations: Scenario-Based Survey Study.

BACKGROUND: With the ever-expanding interconnectedness of the internet and especially with the recent development of the Internet of Things, people are increasingly at risk for cybersecurity breaches that can have far-reaching consequences for their personal and professional lives, with psychological and mental health ramifications. OBJECTIVE: We aimed to identify the dimensional structure of emotion processes triggered by one of the most emblematic scenarios of cybersecurity breach, the hacking of one's smart security camera, and explore which personality characteristics systematically relate to these emotion dimensions. METHODS: A total of 902 participants from the United Kingdom and the Netherlands reported their emotion processes triggered by a cybersecurity breach scenario. Moreover, they reported on their Big Five personality traits, as well as on key indicators for resilient, overcontrolling (internalizing problems), and undercontrolling (aggression) personality types. RESULTS: Principal component analyses revealed a clear 3-dimensional structure of emotion processes: emotional intensity, proactive versus fight/flight reactions, and affective versus cognitive/motivational reactions. Regression analyses revealed that more internalizing problems (ß=.33, P<.001), resilience (ß=.22, P<.001), and agreeableness (ß=.12, P<.001) and less emotional stability (ß=-.25, P<.001) have significant predictive value for higher emotional intensity. More internalizing problems (ß=.26, P<.001), aggression (ß=.25, P<.001), and extraversion (ß=.07, P=.01) and less resilience (ß=-.19, P<.001), agreeableness (ß=-.34, P<.001), consciousness (ß=-.19, P<.001), and openness (ß=-.22, P<.001) have significant predictive value for comparatively more fight/flight than proactive reactions. Less internalizing problems (ß=-.32, P<.001) and more emotional stability (ß=.14, P<.001) and aggression (ß=.13, P<.001) have significant predictive value for a comparatively higher salience for cognitive/motivational than affective reactions. CONCLUSIONS: To adequately describe the emotion processes triggered by a cybersecurity breach, two more dimensions are needed over and above the general negative affectivity dimension. This multidimensional structure is further supported by the differential relationships of the emotion dimensions with personality characteristics. The discovered emotion structure could be used for consistent predictions about who is at risk to develop long-term mental well-being issues due to a cybersecurity breach experience.

The Moral Distress-Appraisal Scale: Scale development and validation study.

AIMS: Moral distress-arising when one is constrained from moral action-has been receiving increased attention in nursing research. The phenomenon is associated with negative outcomes and is shown to impact a broad range of healthcare professions. The context-specific nature of existing measures, however, makes it difficult, if not impossible, to compare the prevalence and impact of moral distress across nursing settings and healthcare professions. This study presents an appraisal approach to the assessment of moral distress. The aims of this study were to develop and to investigate the reliability and validity of the Moral Distress-Appraisal Scale as a context-independent assessment instrument for moral distress. DESIGN: This is a cross-sectional correlational validation study. METHODS: Between September 2018 and June 2019, a total of 406 healthcare employees (mainly nurses) completed a quantitative survey consisting of a standard moral distress measure (Moral Distress Scale-Revised) and the Moral Distress-Appraisal Scale. A subsample (n = 164) received extra questions on work characteristics, well-being and attitudinal outcomes. Confirmatory factor analysis, Pearson correlations and regression analyses were conducted in order to evaluate the psychometric properties of the newly developed scale. RESULTS: Confirmatory factor analysis provided evidence for the predicted structure of the 8-item Moral Distress-Appraisal Scale. As expected, the scale is positively correlated with the Moral Distress Scale-Revised and with job demands, burnout, depressive symptoms, and turnover intentions and negatively with job resources and job satisfaction. Furthermore, the scale showed incremental validity in predicting wellbeing and attitudinal outcomes above and beyond both known predictive work characteristics and the Moral Distress Scale-Revised. CONCLUSION: This study provides first empirical evidence for the reliability and validity of the Moral Distress-Appraisal Scale. IMPACT: The Moral Distress-Appraisal Scale can be used across healthcare professions and contexts. The proposed appraisal approach may facilitate integration of the scale into occupational health research and practice.

The semantic structure of emotion words across languages is consistent with componential appraisal models of emotion.

Appraisal theories of emotion, and particularly the Component Process Model, claim that the different components of the emotion process (action tendencies, physiological reactions, expressions, and feeling experiences) are essentially driven by the results of cognitive appraisals and that the feeling component constitutes a central integration and representation of these processes. Given the complexity of the proposed architecture, comprehensive experimental tests of these predictions are difficult to perform and to date are lacking. Encouraged by the "lexical sedimentation" hypothesis, here we propose an indirect examination of the compatibility of the theoretical assumptions with the semantic structure of a set of major emotion words as measured in a cross-language and cross-cultural study. Specifically, we performed a secondary analysis of the large-scale data set with ratings of affective features covering all components of the emotion process for 24 emotion words in 27 countries, constituting profiles of emotion-specific appraisals, action tendencies, physiological reactions, expressions, and feeling experiences. The results of a series of hierarchical regression analyses to examine the prediction of the theoretical model are highly consistent with the claim that appraisal patterns determine the structure of the response components, which in turn predict central dimensions of the feeling component.

Effects of achievement contexts on the meaning structure of emotion words.

Little is known about the impact of context on the meaning of emotion words. In the present study, we used a semantic profiling instrument (GRID) to investigate features representing five emotion components (appraisal, bodily reaction, expression, action tendencies, and feeling) of 11 emotion words in situational contexts involving success or failure. We compared these to the data from an earlier study in which participants evaluated the typicality of features out of context. Profile analyses identified features for which typicality changed as a function of context for all emotion words, except contentment, with appraisal features being most frequently affected. Those context effects occurred for both hypothesised basic and non-basic emotion words. Moreover, both data sets revealed a four-dimensional structure. The four dimensions were largely similar (valence, power, arousal, and novelty). The results suggest that context may not change the underlying dimensionality but affects facets of the meaning of emotion words.

Revisiting the dimensional structure of the emotion domain.

Recent research has claimed that a novelty dimension is needed to represent the cognitive emotion structure over and above valence, power and arousal. Novelty emerged when student samples evaluated the meaning of 24 emotion terms on 142 emotion features. This claim is debatable, however, because to date novelty has never been found in similarity sorting studies. It is possible that novelty emerged because sophisticated student samples evaluated emotion terms on emotion features. The current research identified a large, representative set of emotion terms using a free-listing task in a middle childhood up to early adulthood sample (N = 5071). Children, adolescents, students and adults (N = 1184) then evaluated the similarity between these emotion terms using a similarity rating task without priming any emotion feature. Novelty robustly emerged as the fourth dimension. The existence of novelty is thus confirmed with a different method across a wide variety of participants.

Emotion valence, intensity and emotion regulation in immigrants and majority members in the Netherlands.

We were interested in interethnic differences and similarities in how emotion regulation strategies (reappraisal, suppression and social sharing) can be predicted by emotion valence and intensity. The sample consisted of 389 Dutch majority members and members of five immigrant groups: 136 Turkish and Moroccan, 105 Antillean and Surinamese, 102 Indonesian, 313 Western and 150 other non-Western immigrants. In a path model with latent variables we confirmed that emotion regulation strategies were significantly and similarly related to emotion valence and intensity across the groups. Negative emotions were more reappraised and suppressed than positive emotions. Intensity was positively related to social sharing and negatively related to reappraisal and suppression. The Dutch majority group scored higher on emotion valence than Turkish and Moroccan immigrants. Also, the Dutch majority group scored lower on reappraisal than all non-Western groups, and lower on suppression than Turkish and Moroccan immigrants. We conclude that group differences reside more in mean scores on some components than in how antecedents are linked to regulation strategies.

Emotional suppression and well-being in immigrants and majority group members in the Netherlands.

We were interested in interethnic differences in emotional suppression. We propose a model in which suppression of specific emotional experiences (suppressive behaviours during interactions with others) mediates the relationship between emotional suppression tendency (intention to suppress emotions) and well-being, operationalised as mood disturbance, life dissatisfaction and depressive and physical symptoms. The sample consisted of 427 majority group members and 344 non-Western and 465 Western immigrants in the Netherlands. Non-Western immigrants scored higher on emotional suppression tendency and lower on well-being than the other groups. We did not find interethnic differences in suppression of specific emotional experiences. The full mediation model was supported in all groups. Interethnic differences in well-being could not be accounted for by differences in emotional suppression.

It Is Not the Virus Exposure: Differentiating Job Demands and Resources That Account for Distress during the COVID-19 Pandemic among Health Sector Workers.

A cross-sectional study of 3860 health-sector workers across two data collections was conducted to identify the predictive power of different job demands and job resources during the COVID-19 pandemic based on four indicators of distress (COVID-19 traumatic stress, burnout, generalised anxiety, and depression) among health-sector workers. Exploratory and confirmatory factor analyses, measurement invariance checks, and structural equation models were used to evaluate the dimensionality and the effect of the job demands and resources on distress indictors. The identified job demands were workload, confinement, loss, and virus exposure, while the identified job resources were self-efficacy, momentary recuperation, and meaning making. Loss and workload predicted the distress indicators best, while confinement and virus exposure mainly predicted COVID-19 traumatic stress and were less important for the other distress outcomes. Self-efficacy and meaning making negatively predicted distress, while momentary recuperation, controlled for the other demands and resources, was positively related to the distress indicators. Of the typical pandemic-related demands and resources, the experience of loss due to COVID-19 infection was the most important predictor of distress outcomes. Confinement, and especially the awareness of virus exposure, were far less important predictors.

The Scoring Challenge of Emotional Intelligence Ability Tests: A Confirmatory Factor Analysis Approach to Model Substantive and Method Effects Using Raw Item Scores.

The internal structure of ability emotional intelligence (EI) tests at item level has been hardly studied, and if studied often the predicted structure did not show. In the present study, an a priori model for responses to EI ability items using Likert response scales with a Situational Judgement Test (SJT) format is investigated with confirmatory factor analysis. The model consists of (1) a target EI ability factor, (2) an acquiescence factor, which is a method factor induced by the Likert response scales, and (3) design-based error covariances, which are induced by the SJT format. It is investigated whether this a priori model can account for the observed associations between the raw item responses of the Components of Emotion Understanding Test-24 (CEUT-24). The CEUT-24 is a new test developed to assess emotion understanding, a key aspect of the EI ability construct, based on the componential emotion framework. The sample consisted of 1184 participants (15-22 years old) from four European countries (United Kingdom, Belgium, Germany, and Spain) speaking four different languages (English, Dutch, German and Spanish). Findings showed that the a priori model fitted the data well in all four languages. Furthermore, measurement invariance testing gave evidence for a well-fitting configural, metric, and partial scalar invariance model. The conclusion is that within a regular CFA framework using raw observed items responses, method factors (acquiescence response style and scenario induced variance) can be disentangled from the targeted EI ability factor.

Assessing Emotional Intelligence Abilities, Acquiescent and Extreme Responding in Situational Judgment Tests Using Principal Component Metrics.

Principal Component Metrics is a novel theoretically-based and data-driven methodology that enables the evaluation of the internal structure at item level of maximum emotional intelligence tests. This method disentangles interindividual differences in emotional ability from acquiescent and extreme responding. Principal Component Metrics are applied to existing (Mayer-Salovey-Caruso Emotional Intelligence Test) and assembled (specifically, the Situational Test of Emotion Understanding, the Situational Test of Emotion Management, and the Geneva Emotion Recognition Test) emotional intelligence test batteries in an analysis of three samples (total N = 2,303 participants). In undertaking these analyses important aspects of the nomological network of emotional intelligence, acquiescent, and extreme responding are investigated. The current study adds a central piece of empirical validity evidence to the emotional intelligence domain. In the three different samples, theoretically predicted internal structures at item level were found using raw item scores. The validity of the indicators for emotional intelligence, acquiescent, and extreme responding was confirmed by their relationships across emotional intelligence tests and by their nomological networks. The current findings contribute to evaluating the efficacy of the emotional intelligence construct as well as the validity evidence surrounding the instruments that are currently designed for its assessment, in the process opening new perspectives for analyzing existing and constructing new emotional intelligence tests.

Emotional Dysregulation in Adults from 10 World Societies: An Epidemiological Latent Class Analysis of the Adult-Self-Report.

Background/Objective: Emotional dysregulation (ED) is a dimensional psychological domain, previously operationalized by instruments of the Achenbach System of Empirically Based Assessment (ASEBA) for children and adolescents; however, its cross-cultural and bottom-up characteristics among adult populations are still unknown. Method: We examined scores obtained on the Adult Self-Report (ASR) by 9,238 18- to 59-year-olds from 10 societies that differed in social, economic, geographic, and other characteristics. A Latent Class Analysis was performed on the data from each society. Results: In each society, a dysregulated class (DYS) was identified, which was characterized by elevated scores on most ASR syndromes. The mean prevalence of DYS was 9.2% (6.1-12.7%). The best models ranged from three to five latent classes in the different societies. Conclusions: Although the number of identified classes and the prevalence of ED varied across societies, a DYS class was found in each society, suggesting the need to adopt a dimensional view of psychopathology and a cross cultural perspective also in adult populations.

Contexto/Objetivo: La desregulación emocional (DE) es un ámbito dimensional en Psicología, previamente operacionalizado por los instrumentos del Sistema de Evaluación Basado Empíricamente de Achenbach (ASEBA, por sus siglas en inglés) para niños y adolescentes; sin embargo, aún se desconocen sus características interculturales y su enfoque ascendente en su aplicación a la población adulta. Método: Examinamos las puntuaciones obtenidas en el Autoinforme de Adultos (ASR, por sus siglas en inglés) por 9.238 personas de 18 a 59 años de edad pertenecientes a 10 sociedades que diferían en cuanto a sus características sociales, económicas, geográficas y de otro tipo. Se realizó un Análisis de Clases Latentes con los datos de cada sociedad. Resultados: En cada sociedad se identificó una clase desregulada (DES), que se caracterizaba por puntuaciones elevadas en la mayoría de los síndromes ASR. La prevalencia media de DES fue del 9,2% (6,1-12,7%). Los mejores modelos oscilaron entre tres y cinco clases latentes en las diferentes sociedades. Conclusiones: Aunque el número de clases identificadas y la prevalencia de DE variaron entre las diversas sociedades, se encontró una clase DES en cada sociedad, lo que sugiere la necesidad de adoptar una visión dimensional de la psicopatología y una perspectiva intercultural también en las poblaciones adultas.

Emotional Experiences of Cybersecurity Breach Victims.

This study investigated emotional reactions to cybersecurity breaches. Based on prior research, a context-specific instrument was developed. This new instrument covered all five emotion components identified by the componential emotion approach. In total, 145 participants that experienced a cybersecurity breach reported on their appraisals, action tendencies, bodily reactions, expressions, subjective feelings, and regulation attempts. A principal component analysis on a total of 75 emotion reactions revealed a clear three-dimensional structure. The first dimension represented the extent to which the person was generally emotionally affected. The second dimension revealed constructive action tendencies and subjective feelings that were opposed to unconstructive action tendencies, expressions, and bodily reactions. The third dimension revealed cognitive motivational reactions that were opposed to affective reactions. This study clearly indicated that cybersecurity breaches do not only form a challenge for engineers, but also have important psychological ramifications that need to be addressed. Although some people have a tendency to react with constructive and proactive actions that are likely to limit the negative consequences of the cybersecurity breach, others experience a strong negative affective stress reaction and are unlikely to take the appropriate steps to deal with the security breach situation. These people, especially, can be expected to be vulnerable to psychological complaints and possibly psychopathology. The newly developed instrument uses a comprehensive approach to assess emotional reactions to cybersecurity threats and provides an efficient way to identify potentially problematic reactions.

Interaction and threshold effects of appraisal on componential patterns of emotion: A study using cross-cultural semantic data.

Studies that investigated the relation between appraisal and emotion have largely focused on the linear effect of appraisal criteria on subjective feelings (e.g., the effect of appraised goal obstruction on anger). Emotional responding can be extended to include more than just feelings, however. Componential definitions of emotion also add motivation, physiology, and expression. Moreover, a linear model is not compatible with the idea held by many appraisal theorists that appraisal criteria interact to produce emotional responding. In the present study, we modeled adaptive nonlinear interaction effects of appraisal criteria on motivation, expression, and physiology simultaneously. We applied a combination of principal component analysis for data reduction and multivariate adaptive regression splines (MARS) for automatic interaction identification. Data were obtained from a large-scale cross-cultural study on emotion concepts conducted in 27 countries, which represented semantic profiles of component information in 24 common emotion words. Results of modeling indicated that (a) appraisal of relevance, familiarity, goal compatibility, coping potential, and suddenness showed main effects on component responses; (b) appraisals of agency and norm compatibility uniquely showed interaction effects on component responses; (c) interaction effects explained significant variance only in some component responses but not all; and (d) the emotion patterns simulated by the fitted MARS model could be clustered according to qualitative emotion categories. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The relationship between emotional abilities and right-wing and prejudiced attitudes.

Previous research revealed that cognitive abilities are negatively related to right-wing and prejudiced attitudes. No study has, however, investigated if emotional abilities also show such a relationship, although this can be expected based on both classic and recent literature. The aim of the present study was 2-fold: (a) to investigate the relationship between emotional abilities and right-wing and prejudiced attitudes, and (b) to pit the effects of emotional and cognitive abilities on these attitudes against each other. Results from 2 adult samples (n = 409 and 574) in which abilities scores were collected in individual testing sessions, revealed that emotional abilities are significantly and negatively related to social-cultural and economic-hierarchical right-wing attitudes, as well as to blatant ethnic prejudice. These relationships were as strong as those found for cognitive abilities. For economic-hierarchical right-wing attitudes, emotional abilities were even the only significant correlate. It is therefore concluded that the study of emotional abilities has the potential to significantly advance our understanding of right-wing and prejudiced attitudes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The factor structure of the Beck Depression Inventory-II: an evaluation.

The Beck Depression Inventory-II (BDI-II) is a frequently used scale for measuring depressive severity. BDI-II data (404 clinical; 695 nonclinical adults) were analyzed by means of confirmatory factor analysis to test whether the factor structure model with a somatic-affective and cognitive component of depression, formulated by Beck and colleagues, has a good fit. We also evaluated 10 alternative models. The fit of Beck's model was not good for all criteria. Three of the alternative models had a better fit in both samples, but none of these met all criteria for good fit. Of the alternatives with a better fit, we selected the only model with unidimensional subscales, which assesses a somatic, affective, and cognitive dimension. For this model, which we recommend, as well as for Beck' original model, a good fitting structure containing 15 and 16 items was developed with an item-deletion algorithm.

Are normal and complicated grief different constructs? a confirmatory factor analytic test.

Nowadays, much debate in the bereavement domain is directed towards the inclusion of Complicated Grief (CG) as a separate category in the Diagnostic and Statistical Manual of Mental Disorders. Important within this discussion is the conceptual relationship between CG reactions and normal grief (NG) reactions. This study aims at elucidating this relationship by using data from 456 bereaved young adults, aged 17 to 25 years. We examined the structural distinctiveness of CG and NG reactions, using two criteria sets. The first set ties in with previous research in bereaved adults on the distinctiveness of CG and NG and allows to test the replicability of earlier findings. The second set links up with the recently revised criteria for CG and permits to investigate whether earlier findings hold for the new criteria. For both sets, two models for NG and CG were compared using confirmatory factor analytic procedures. These analyses revealed that CG and NG reactions can be distinguished by their very nature, except for one CG reaction (viz. 'yearning'), that loaded on both factors.

In search of a comprehensive value model for assessing supplementary person-organization fit.

In this study, the authors tested the comprehensiveness of the S. H. Schwartz (1992) value model as a conceptual framework for assessing supplementary person-organization fit. They conducted an extensive literature search in which they identified 42 value instruments or typologies that are used to measure life, work, or organizational values. Experts judged whether each of 1,578 items from these 42 instruments could be regarded as an indicator of 1 of the 10 value types identified by S. H. Schwartz (1992). The authors found that (a) 92.5% of the items could be classified into 1 of the 10 value types and (b) the remaining items suggested 2 possible new types (goal orientedness and relations). The authors also found indications that 2 value types could be split to obtain a more univocal meaning. Overall, these findings suggest that the S. H. Schwartz (1992) value model might be an appropriate comprehensive framework for studying supplementary person-organization fit.

Expatriate Family Adjustment: An Overview of Empirical Evidence on Challenges and Resources.

The current theoretical paper presents a comprehensive overview of findings from research attempting to understand what happens with expatriates and their families while living abroad. Our paper draws on research on adjustment of individual family members (expatriates, their partners, and children) and families as a whole, across different literatures (e.g., cultural psychology, family psychology, stress literature). The key challenges of expatriation are discussed, as well as family members' resources. Our findings lead to the following conclusions: First, there is lack of systematic research as studies are either missing a theoretical background or largely neglect the multi-informant approach. A comprehensive theory of expatriate family adjustment integrating multiple theoretical perspectives, including the culture identity formation and the impact of home country and host country culture, is called upon. Second, the majority of studies paid little attention to define the concept of family or failed to take into account the cultural aspect of relocation. Third, there is a call for more longitudinal studies including all family members as adjustment is a process that unfolds over time and therefore cannot be sufficiently explained by cross-sectional studies. Suggestions for future research and practical implications are provided, with a special focus on how families could be assisted during their adjustment process.