Emotional intelligence and depressed mood in adolescence: A multilevel approach

The aim of the study was to analyze the relationship between individual emotional intelligence, group emotional intelligence and depressed mood in adolescence from a multilevel approach. The study sample comprised 2,182 adolescents (1,127 female and 1,055 male) aged between 12 and 18 years (M = 14.51, SD = 1.55). They attended 14 secondary schools in the Basque Country (northern Spain) and were grouped into 118 different classes. A two-level model (students nested in classes) with three predictor variables of level 1 (attention, clarity and repair of emotions) and one predictor variable of level 2 (class emotional intelligence) was used to examine their influence on depressed mood. The results indicated that clarity and the ability to regulate emotions at the individual level and emotional intelligence at the class level are important for explaining depressed mood. In this way, the study provides an integrative approach to research on the psychosocial well-being of adolescents that takes into account emotional variables located at different levels.     

A warm heart and a clear head. The contingent effects of weather on mood and cognition

Prior studies on the association between weather and psychological changes have produced mixed results. In part, this inconsistency may be because weather's psychological effects are moderated by two important factors: the season and time spent outside. In two correlational studies and an experiment manipulating participants' time outdoors (total N = 605), pleasant weather (higher temperature or barometric pressure) was related to higher mood, better memory, and "broadened" cognitive style during the spring as time spent outside increased. The same relationships between mood and weather were not observed during other times of year, and indeed hotter weather was associated with lower mood in the summer. These results are consistent with findings on seasonal affective disorder, and suggest that pleasant weather improves mood and broadens cognition in the spring because people have been deprived of such weather during the winter.     

The relationship between daily events and mood: The mood measure may matter

Measures of daily mood have been used as immediate indicators of the effects of the psychosocial environment, the latter concept often measured by daily events. We examined the prediction of two measures of daily mood, the Positive and Negative Affect Schedule (PANAS) and Nowlis Mood Adjective Checklist (MACL), by daily desirable and undesirable events and by day of the week. Unlike prior studies, the event assessment and type of subjects studied (community residents) were the same in both studies, allowing an attribution of differential associations between the two mood scales and either daily events or day of the week to the different mood measures. The mood measures had similar and expected associations with daily events, although the MACL scale generally had stronger associations with events. Surprisingly, the pattern of day of the week effects for positive, yet not negative, mood were different for the two mood measures. Consistent with the weekend's increase in desirable daily events, MACL positive affectincreased on weekends, relative to weekdays, whereas PANAS positive mooddecreased on weekends. Also, for both positive and negative affect scales, the MACL scales had stronger associations with day of week than the PANAS scales. These results suggest caution in the choice of mood measure to use in studies of daily events and pose questions about the meaning of these mood measures.This work was supported, in part, by grant MH39234 from NIMH. The authors thank two anonymous reviewers for their helpful comments.     

Religion and self-efficacy: a multilevel approach

Can the religious values of an entire geographic area affect the self-efficacy of emerging adults living in that area? Although prior research has demonstrated that individual religious characteristics are associated with self-efficacy, less is known about how the overall religious context influences self-efficacy. Using multilevel analyses on two waves of the National Study of Youth and Religion (NSYR) merged with county-level variables, this study finds that a county’s higher conservative Protestant population share is associated with lower self-efficacy even after controlling for various variables. Surprisingly, this conservative Protestant contextual effect also applies to residents who are not conservative Protestants but live in a conservative Protestant county. In contrast, county-level Catholic population share is linked with higher self-efficacy. However, this Catholic contextual effect is explained when controlling for county-level variables.     

The relation between thinking and mood in daily life: The effects of content and context of thought

The association between thought content and mood in daily life is far from established. The aim of the present investigation was to examine the role of content and context of thought in daily life mood (i) concurrent and across time, and (ii) as simple effects and as interactions between them. Participants were 50 university students (82% female), who completed experience sampling assessments for a week. Linear mixed-effects models showed that time and object aspects of thought were significantly associated with concurrent mood. In addition, interaction effects between object of thought and thought context (activity) significantly predicted concurrent, but not future, mood, sometimes showing a switch from a positive to a negative association in certain contexts. It is concluded that associations between thought content and mood in daily life (i) are depending on the activity context, and (ii) seem to be relatively short-lived in most cases.     

Effects of daily stress on negative mood

This article examines the influence of daily stressors on mental health in a community sample. Ss were 166 married couples who completed diaries each day for 6 weeks. In pooled within-person analyses, daily stressors explained up to 20% of the variance in mood. Interpersonal conflicts were by far the most distressing events. Furthermore, when stressors occurred on a series of days, emotional habituation occurred by the second day for almost all events except interpersonal conflicts. Contrary to certain theoretical accounts, multiple stressors on the same day did not exacerbate one another's effects: rather an emotional plateau occurred. Finally on days following a stressful event, mood was better than it would have been if the stressor had not happened. These results reveal the complex emotional effects of daily stressors, and in particular they suggest that future investigations should focus primarily on interpersonal conflicts.     

The effects of sad mood on memory in older adults: a test of the mood congruence effect

Mood congruence effects have long been studied in younger adults, but not in older adults. Socioemotional selectivity theory (SST) suggests that mood congruence could operate differently in older adults. One hundred and nineteen younger and 78 older adults were randomly assigned to sad or neutral mood inductions, using combined Velten and music induction procedures. Results indicated that during sad mood induction both older and younger adults showed enhanced recall of sad words on delayed word list recall task and in autobiographical memory. However, only older adults displayed mood congruence effects on lexical ambiguity and lower recall of positive words in the word list task. Results provided partial support for developmental effects on mood congruence derived from SST.     

The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies

In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g., group-average effects of socioeconomic status, achievement, climate). Most previous applications have used a multilevel manifest covariate (MMC) approach, in which the observed (manifest) group mean is assumed to be perfectly reliable. This article demonstrates mathematically and with simulation results that this MMC approach can result in substantially biased estimates of contextual effects and can substantially underestimate the associated standard errors, depending on the number of L1 individuals per group, the number of groups, the intraclass correlation, the sampling ratio (the percentage of cases within each group sampled), and the nature of the data. To address this pervasive problem, the authors introduce a new multilevel latent covariate (MLC) approach that corrects for unreliability at L2 and results in unbiased estimates of L2 constructs under appropriate conditions. However, under some circumstances when the sampling ratio approaches 100%, the MMC approach provides more accurate estimates. Based on 3 simulations and 2 real-data applications, the authors evaluate the MMC and MLC approaches and suggest when researchers should most appropriately use one, the other, or a combination of both approaches.     

Religion and youth educational aspirations: a multilevel approach

Previous research has demonstrated that individual religious beliefs and practices are associated with educational outcomes. However, less is known about the manner in which the overall religious cultural influence of a religion can affect an individual’s educational aspirations. Using multilevel analyses on two waves of the National Study of Youth and Religion (NSYR) merged with county-level variables from the US Census, and the Religious Congregations and Membership Study (RCMS), the study shows that a county’s higher Jewish population share is associated with a higher level of educational aspirations for the youth, regardless of being Jewish or not. This Jewish contextual effect remains robust even after controlling a wide range of individual and county-level variables, such as individual academic achievement and religious identity. Consistent with the relevant theory and literature, the negative main effect of county-level conservative Protestant population share on educational aspirations is explained by county-level socioeconomic characteristics. The same mechanism is used in part to explain the initially positive relationship between Catholic population share and educational aspirations. Finally, the study highlights the importance of using a multilevel approach to examine and provide understanding of the relationship between religious influence and educational outcomes.     

Dispositions and work reactions: a multilevel approach.

Multiple levels of analysis were used to examine the link between stable dispositions and more state-oriented work reactions such as job satisfaction. Participants in the study were employees from a large state education system and an urban hospital. The proportion of between-group variance in positive work affect, negative work affect, and job satisfaction increased after dispositional measures of neuroticism and extraversion were included, although the confidence intervals overlapped. Aggregate perceptions of excessive job demands explained more between-group variance in work reactions after dispositions were included. Previous research conducted at a single level of analysis suggests that the inclusion of stable dispositions can attenuate the link between work characteristics and work reactions. The present study suggests the opposite pattern when group-level variance is considered.     

The relations of daily task accomplishment satisfaction with changes in affect: a multilevel study in nurses

Focusing on a sample of nurses, this investigation examined the relationships of daily task accomplishment satisfaction (for direct and indirect care tasks) with changes in positive and negative affect from preshift to postshift. Not accomplishing tasks to one's satisfaction was conceptualized as a daily workplace stressor that should increase daily negative affect and decrease daily positive affect from preshift to postshift. Further, because of the greater centrality of direct care nursing tasks to nursing work role identities (relative to indirect care tasks), we expected that task accomplishment satisfaction (or lack thereof) for these tasks would have stronger effects on changes in affect than would task accomplishment satisfaction for indirect care tasks. We also examined 2 person-level resources, collegial nurse-physician relations and psychological resilience, as moderators of the relationships among these daily variables, with the expectation that these resources would buffer the harmful effects of low task accomplishment satisfaction on nurse affect. Results supported almost all of the proposed effects, though the cross-level interactions were observed only for the effects of indirect care task accomplishment satisfaction on affect and not for direct care task accomplishment satisfaction on affect.     

Towards a multilevel approach of employee well-being

In this commentary, I respond to Ilies, Aw & Pluut’s (Intraindividual models of employee well-being: What have we learned and where do we go from here?, European Journal of Work and Organizational Psychology, in press) call for a theory that distinguishes between traits and states of employee well-being. I use Job Demands–Resources theory to illustrate how we may integrate within- and between-person approaches and findings to design an overall multilevel model of employee well-being. My perspective builds on Ilies et al. and recent findings of research combining relatively stable “traits” with fluctuating states of employee well-being. My goals with this commentary are three-fold: (1) give more insight into possible differences between variables at different levels of analysis; (2) use research to show how trait and state levels of (predictors of) employee well-being may interact; (3) propose a multilevel model that may stimulate future research on the topic.     

An investigation of race and sex similarity effects in interviews: a multilevel approach to relational demography

This research studied the effects of race and sex similarity on ratings in one-on-one highly structured college recruiting interviews (N = 708 interviewers and 12203 applicants for 7 different job families). A series of hierarchical linear models provided no evidence for similarity effects, although the commonly used D-score and analysis-of-variance-based interaction approaches conducted at the individual level of analysis yielded different results. The disparate results demonstrate the importance of attending to nested data structures and levels of analysis issues more broadly. Practically, the results suggest that organizations using carefully administered highly structured interviews may not need to be concerned about bias due to the mismatch between interviewer and applicant race or sex.     

The effects of maternal mood on mother-infant interaction

The effects of depressed mood on mother-infant interaction were studied in 30 mother-infant dyads using the Velten mood induction procedure. It was predicted that maternal depressed mood would induce dysphoria in the infants, disrupt the infants' natural responsiveness to their mothers, and interfere with the mothers' ability to manage the interaction. In addition, it was predicted that such deficits would be the result of depressed maternal mood and not simply due to any change in maternal mood. The results indicated that the infants were sensitive to depressed mood and were less contingently responsive to their mothers than were controls. Also, mothers in the depression induction condition were less successful in eliciting positive responses from their infants than were controls. These results have implications for the development of a helplessness vulnerability in infants and for the two-way direction of effect present in depressed mother-infant dyads.This research was partially funded by NIMH grant MH39283 and a Spelman-Rockefeller Seed Grant awarded to Michael O'Hara. We gratefully acknowledge the assistance of Joan Blackwood, Nancy Clift, Lynda Field, Darla Hauf, Randy Ross, Jane Ugland, and Jim Vincent in the data collection. We also thank Richard R. Hurtig, John F. Knutson, Donald K. Routh, Robert A. Forsyth, and Carolyn E. Cutrona for their helpful comments on an earlier version of this article.     

The impact of daily stress on health and mood: psychological and social resources as mediators

This study examined daily stress processes among 75 married couples across 20 assessments during a 6-month period. The somatic and psychological effects of common everyday hassles were investigated. Overall, there was a significant relationship between daily stress and the occurrence of both concurrent and subsequent health problems such as flu, sore throat, headaches, and backaches. The relationship of daily stress to mood disturbance was more complex. The negative effects of stress on mood were limited to a single day, with the following day characterized by mood scores that were better than usual. Furthermore, striking individual differences were found in the extent to which daily stress was associated with health and mood across time. Participants with unsupportive social relationships and low self-esteem were more likely to experience an increase in psychological and somatic problems both on and following stressful days than were participants high in self-esteem and social support. These data suggest that persons with low psychosocial resources are vulnerable to illness and mood disturbance when their stress levels increase, even if they generally have little stress in their lives.     

The effects of transformational and change leadership on employees' commitment to a change: a multilevel study

The effects of transformational leadership on the outcomes of specific change initiatives are not well understood. Conversely, organizational change studies have examined leader behaviors during specific change implementations yet have failed to link these to broader leadership theories. In this study, the authors investigate the relationship between transformational and change leadership and followers' commitment to a particular change initiative as a function of the personal impact of the changes. Transformational leadership was found to be more strongly related to followers' change commitment than change-specific leadership practices, especially when the change had significant personal impact. For leaders who were not viewed as transformational, good change-management practices were found to be associated with higher levels of change commitment.     

The daily inventory of stressful events: an interview-based approach for measuring daily stressors

This study introduces the Daily Inventory of Stressful Events (DISE), an interview-based approach to the measurement of multiple aspects of daily stressors through daily telephone interviews. Using a U.S. national sample of adults aged 25 to 74 (N = 1,031), the prevalence as well as the affective and physical correlates of daily stressors are examined. Respondents had at least one daily stressor on 40 percent of the study days and multiple stressors on 11 percent of the study days. The most common class of stressors was interpersonal tension followed by work-related stressors for men and network stressors (events that occur to close others) for women. Stressors that involved danger of loss were more prevalent than stressors in which loss actually occurred. Regression analyses showed that specific types of daily stressors such as interpersonal tensions and network stressors were unique predictors of both health symptoms and mood.     

On bad mood and white bears: The effects of mood state on ability to suppress unwanted thoughts

Does temporary mood influence people's ability to engage in effective thought suppression? Based on past research on mental control and recent work on affective influences on social cognition, this experiment predicted and found that negative mood improved and positive mood impaired people's ability to suppress their thoughts when instructed not to think of a neutral concept, white bears. We also found clear evidence for ironic rebound effects: on a subsequent generative task, intrusions of the suppressed thought were greater in the negative than in the positive mood group. Participants received positive or negative feedback about performance on a supposed creativity task to induce positive or negative moods, and then engaged in two consecutive generative writing tasks, the first accompanied by instructions to suppress thoughts of white bears. Those in a negative group reported fewer “white bear” intrusions when attempting to suppress, but more “white bear” intrusions (an ironic rebound effect) in the subsequent task when the suppression instruction was lifted. The implications of these results for everyday tasks of mental control, and for recent affect–cognition theories are discussed.