General Factors of Affective Temperament and Their Relation to Job Satisfaction over Time

This study investigated the extent to which employee satisfaction is related to two broad emotional traits, Positive Affect (PA) and Negative Affect (NA). Eighty-two employees at Southern Methodist University completed trait NA and PA scales as part of their participation in a comprehensive health and fitness project. From 9 to 39 months later (mean interval = 27 months), subjects were retested on these temperament scales and also completed job change and satisfaction measures. Trait PA and NA were not only significantly correlated with several aspects of concurrent employee satisfaction, but also predicted some facets of job satisfaction that were assessed an average of over 2 years later. Finally, hierarchical multiple regression analyses indicated that emotional temperament, major job changes, and occupational quality variables each made independent contributions to the prediction of job satisfaction. These data, together with those from previous studies, demonstrate that job satisfaction can be usefully viewed in the context of the more general emotional lives of employees.     

The independence of positive and negative affect depends on the affect measure

This study examined the degree of independence between Positive Affect (PA) and Negative Affect (NA) within a given situation. The affective state was measured before and after an experimentally induced success or failure experience in an anagram task. Two types of affect measures were used to assess PA and NA: the Positive and Negative Affect Schedule (PANAS) and a Pleasantness-Unpleasantness scale. Consistent with our hypotheses, results show that PA and NA are independent when measured with the PANAS but are correlated when assessed with the other scale. These PA-NA correlations differed significantly from each other before and after emotion induction, respectively. Additional analyses indicate that both PA scales are differentially sensitive to the mood induction procedure. The findings are discussed with respect to circumplex models of emotion.     

The relationship between positive and negative affect in the Positive and Negative Affect Schedule

The Positive and Negative Affect Schedule (PANAS; Watson, Clark, & Tellegen, 1988) is one of the most widely used affect scales. Nevertheless, the relation between its two scales, positive affect (PA) and negative affect (NA), is still controversial. Previous results that suggest independence between NA and PA were limited to manifest variables. In this study, the relation between PA and NA for both state and trait instructions was analyzed by means of structural equation modeling. Two hundred ninety-two participants responded to the PANAS at three occasions of measurement. No association was found between trait PA and NA, but significant negative correlations between state PA and NA emerged. In the second step, the observed variance of state PA and NA was decomposed into a dispositional component, an occasion-specific component, a method-specific component, and a component due to measurement error by employing a multi-construct latent state–trait model. This analysis confirmed and extended the results of our first analysis: the dispositional components of state PA and NA were unrelated. In contrast, the situation-specific components were negatively associated. Thus, the negative correlation between state PA and NA could be traced back to situation-specific effects.     

Recovering from negative events by boosting implicit positive affect

Upregulation of implicit positive affect (PA) can act as a mechanism to deal with negative affect. Two studies tracked temporal changes in positive and negative affect (NA) assessed by self-report and the Implicit Positive and Negative Affect Test (IPANAT; Quirin, Kazen, & Kuhl, 2009). Study 1 observed the predicted increases in implicit PA after exposure to a threat-related film clip, which correlated positively with the speed of recognising a happy face among an angry crowd. Study 2 replicated increases in implicit PA after exposition to the same film clip, and showed that such increases were enhanced by priming self-referential stimuli. The findings are discussed against the background of personality systems interaction (PSI) theory (Kuhl, 2000, 2001), which emphasises the role of the implicit self in affect regulation.     

Positive and negative appraisals of the consequences of activated states uniquely relate to symptoms of hypomania and depression

Individuals may appraise internal states positively or negatively. Positive appraisals involve desiring or pursuing the state or experience, while negative appraisals involve dreading or avoiding the experience. The extent to which individuals make extreme positive or negative appraisals of high, activated, energetic states might determine whether they experience symptoms of high or low mood. This study extends the existing literature by considering the role of opposing appraisals and beliefs about the same internal states and by controlling for the potential correlation between depression and activation symptoms. Extreme, positive and negative appraisals of activated mood states related distinctly to experiences of activation and depression symptoms respectively, in an analogue sample (n=323). Positive appraisals of activated internal states were uniquely associated with elevated activation and hypomania symptoms. Negative appraisals of the same states were uniquely associated with elevated depression symptoms. Opposing appraisals of internal states may underlie mood swing symptoms.     

The Affective Temperaments: Differences between Adolescents in the Big Five Model and Cloninger’s Psychobiological Model of Personality

Positive (PA) and negative affect (NA) are indicators or markers of well-being that also reflect stable emotional- temperamental dispositions. In three different studies, self-reported affect was measured by the Positive Affect and Negative Affect Schedule (PANAS). The PANAS measures affect as two separate dimensions and was therefore used to generate four affective temperaments (AFTs): self-actualizing (high PA and Low NA), high affective (high PA and high NA), low affective (low PA and low NA), and self-destructive (low PA and high NA). The present set of studies investigated differences in personality between AFTs in an adolescent sample (N?=?398). Personality was measured by two different models: The Big Five and Cloninger’s psychobiological model. The interaction of PA and NA was expected to reveal differences and similarities in intrapersonal behavior measured by both models of personality. The results show that low NA adolescents reported lower levels of neurotic behavior than high NA adolescents. Nevertheless, despite the experience of high NA respectively, low PA, high and low affective reported higher Self-Directedness than self-destructive adolescents. Implications of the AFTs framework are discussed.     

Recovering from negative events by boosting implicit positive affect

Upregulation of implicit positive affect (PA) can act as a mechanism to deal with negative affect. Two studies tracked temporal changes in positive and negative affect (NA) assessed by self-report and the Implicit Positive and Negative Affect Test (IPANAT; Quirin, Kazén, & Kuhl, 2009). Study 1 observed the predicted increases in implicit PA after exposure to a threat-related film clip, which correlated positively with the speed of recognising a happy face among an angry crowd. Study 2 replicated increases in implicit PA after exposition to the same film clip, and showed that such increases were enhanced by priming self-referential stimuli. The findings are discussed against the background of personality systems interaction (PSI) theory (Kuhl, 2000, 2001), which emphasises the role of the implicit self in affect regulation.     

Positive and negative appraisals of the consequences of activated states uniquely relate to symptoms of hypomania and depression

Individuals may appraise internal states positively or negatively. Positive appraisals involve desiring or pursuing the state or experience, while negative appraisals involve dreading or avoiding the experience. The extent to which individuals make extreme positive or negative appraisals of high, activated, energetic states might determine whether they experience symptoms of high or low mood. This study extends the existing literature by considering the role of opposing appraisals and beliefs about the same internal states and by controlling for the potential correlation between depression and activation symptoms. Extreme, positive and negative appraisals of activated mood states related distinctly to experiences of activation and depression symptoms respectively, in an analogue sample (n=323). Positive appraisals of activated internal states were uniquely associated with elevated activation and hypomania symptoms. Negative appraisals of the same states were uniquely associated with elevated depression symptoms. Opposing appraisals of internal states may underlie mood swing symptoms.     

Predictors of the first onset of a major depressive episode and changes in depressive symptoms across adolescence: stress and negative cognitions

This 6-year longitudinal study examined stressors (e.g., interpersonal, achievement), negative cognitions (self-worth, attributions), and their interactions in the prediction of (a) the first onset of a major depressive episode (MDE), and (b) changes in depressive symptoms in adolescents who varied in risk for depression. The sample included 240 adolescents who were first evaluated in Grade 6 (M = 11.86 years old; SD = 0.57; 54.2% female) and then again annually through Grade 12. Stressful life events and depressive diagnoses were assessed with interviews; negative cognitions and depressive symptoms were assessed with self-report questionnaires. Discrete time hazard modeling revealed a significant interaction between interpersonal stressors and negative cognitions, indicating that first onset of an MDE was predicted by high negative cognitions in the context of low interpersonal stress, and by high levels of interpersonal stressors at both high and low levels of negative cognitions. Analyses of achievement stressors indicated significant main effects of stress, negative cognitions, and risk in the prediction of an MDE, but no interactions. With regard to the prediction of depressive symptoms, multilevel modeling revealed a significant interaction between interpersonal stressors and negative cognitions such that among adolescents with more negative cognitions, higher levels of interpersonal stress predicted higher levels of depressive symptoms, whereas at low levels of negative cognitions, the relation between interpersonal stressors and depression was not significant. Risk (i.e., maternal depression history) and sex did not further moderate these interactions. Implications for intervention are discussed.     

Intraindividual and interindividual analyses of positive and negative affect: their relation to health complaints, perceived stress, and daily activities

I examined correlates of Negative Affect (NA) and Positive Affect (PA) through both within- and between-subjects analyses. Eighty subjects completed a daily questionnaire for 6-8 weeks. Each day they rated (a) their mood, (b) the extent to which they suffered from various minor physical problems, (c) their level of stress, (d) the time they spent socializing, and (e) whether or not they had exercised. Subjects also completed several trait tests measuring their general affective level, frequency of health problems, and social tendencies. A between-subjects analysis showed the expected pattern: Level of physical complaints and perceived stress were correlated with individual differences in NA but not in PA, whereas social indicators and frequency of exercise were related only to PA. The within-subjects results generally exhibited a similar pattern: Social activity and exercise were more strongly related to PA, whereas perceived stress was highly related to NA. However, the most significant finding was that, contrary to prediction, health complaints were as strongly related to intraindividual fluctuations in PA as in NA. Possible interpretations of the observed correlates of NA and PA are discussed.     

Associated Factors of Suicide Among University Students: Importance of Family Environment

The aim in this study was to underline the importance of family environment as a significant associate of suicide probability among university students. For this aim 226 Turkish university students completed Suicide Probability Scale, Family Environment Questionnaire, Beck Depression Inventory, and Positive and Negative Affect Scale. As a result of the formulated regression analysis, after controlling for the 51% of the total variance accounted for by the control variables (i.e., gender, age, living with family versus away from family, and Grade Point Averages) and mood related variables (i.e., depressive symptoms, and positive and negative affect), family cohesion still emerged as a significant associate of the suicide probability. These findings underline the importance of family relations as a risk factor of suicide among university students.This work has been supported by the Turkish Academy of Sciences, in the framework of the Young Scientist Award Program. (TG-TUBA-GEBİP/2002-1-11).     

Differentiating anxiety and depression in older adults with generalized anxiety disorder

To examine affect and cognition in differentiating anxiety and depression, 83 older participants with generalized anxiety disorder completed the Cognitive Checklist (CCL) and the Positive and Negative Affect Schedule (PANAS). A 3-factor solution was found for the PANAS: positive affect (PA), anxiety and anger (Negative Affect 1 [NA-1]), and guilt and shame (Negative Affect 2 [NA-2]). A 2-factor structure was noted for the CCL. Correlations with anxiety and depression measures suggested that the CCL Depression (CCL-D) subscale showed stronger correlations with depression, whereas the CCL Anxiety subscale did not uniquely correlate with anxiety. The NA-1 subscale correlated positively with measures of depression and anxiety, whereas the PA subscale showed negative correlations. Hierarchical regression suggested that the CCL-D subscale was a significant predictor of self-reported depression.     

Cross-sectional and prospective associations between cognitive appraisals and posttraumatic stress disorder symptoms following stroke

This study examined cross-sectional and prospective associations between cognitive appraisals and posttraumatic stress disorder (PTSD) symptoms following stroke. While in hospital, stroke patients (n=81) completed questionnaires assessing cognitive appraisals (i.e., negative cognitions about the self, negative cognitions about the world, and self-blame) and PTSD symptoms. PTSD symptoms were assessed again 3 months later when all patients had been discharged from hospital (n=70). Significant correlations were found between the time 1 measures of negative cognitions about the self and the world, but not self-blame, and the severity of PTSD symptoms measured at time 1 and at time 2. Regression analyses revealed that cognitive appraisals explained a significant amount of variance in the severity of PTSD symptoms at time 1, with negative cognitions about the self-emerging as a significant predictor. In contrast, time 1 cognitive appraisals were unable to explain additional variance in time 2 PTSD severity over and above that explained by time 1 PTSD severity. The findings therefore provide only weak support for Ehlers and Clark's cognitive model of PTSD.     

The Affective Temperaments and Well-Being: Swedish and Iranian Adolescents’ Life Satisfaction and Psychological Well-Being

The aim was to investigate the role of the affective temperament model (AFTs) in distinguishing variations in well-being among adolescents from Sweden (n = 222) and Iran (n = 120). Participants self-reported positive (PA) and negative affect (NA), life satisfaction (LS) and psychological well-being (PWB). The model categorizes participants in four different temperaments using the Positive Affect and Negative Affect Schedule (PANAS): self-actualizing (high PA and low NA), high affective (high PA and high NA), low affective (low PA and low NA), and self-destructive (low PA and high NA). Across cultures, self-actualizing adolescents reported higher LS and PWB. The PWB sub-scale of self-acceptance was positively related to LS regardless of temperament profile or cultural background. Nevertheless, Iranian adolescents with self-destructive profiles reported higher LS than high affective Iranians. The AFTs model is suggested to offer something unique by taking into account the interaction of PA and NA.     

Diurnal variation in the Positive Affects

We examined the circadian rhythm of two basic dimensions of mood—Positive Affect (PA) and Negative Affect (NA). Subjects were 196 college students in two studies who completed a mood rating form approximately seven times a day for 1 week. Significant diurnal variation was found to exist in overall Positive Affect, and in four component content areas, but not in Negative Affect. Specifically, all components of PA rose sharply from early morning until noon, remained relatively constant until 9 p.m., and then fell rapidly. The rise and fall of PA were quite robust across subjects, but the apparently static level of PA from noon to 9 p.m. was shown to result from averaging across marked individual differences in the time of peak PA. Various potential sources of these individual differences—“morningness-eveningness,” introversion-extraversion, and neuroticism/dysphoria—were investigated. Neither of the personality variables accounted for the significant variation in diurnal mood patterning, but clearly defined morning and evening types did show different patterns. Possible links between the mood pattern obtained and biologically based circadian rhythms, which have been postulated to be dysregulated in depression and mania, are discussed.     

Relation of positive memory recall count and accessibility with post-trauma mental health

ABSTRACT

Positive memory encoding and retrieval deficits have an empirical relation with several post-trauma outcomes. Drawing from the Contractor et al. model, we examined relations between positive memory characteristics and post-trauma mental health indicators. A trauma-exposed community sample of 203 participants (M_age?=?35.40 years; 61.10% female) was recruited via Amazon's Mechanical Turk. Participants completed measures of posttraumatic stress disorder (PTSD; PTSD Checklist for DSM-5), depression (Patient Health Questionnaire-9), posttraumatic cognitions (Posttraumatic Cognitions Inventory), affect (Positive and Negative Affect Schedule), count/number of recalled specific positive memories (Autobiographical Memory Test) and accessibility of a specific positive memory (i.e., subjective ease of recalling details of a memory; Memory Experiences Questionnaire-Short Form). Linear regression results indicated that PTSD intrusion severity, PTSD negative alterations in cognitions and mood (NACM) severity, PTSD alterations in arousal and reactivity (AAR) severity, self-blame, and positive affect significantly and negatively predicted the count of specific positive memories. Further, PTSD NACM severity, PTSD AAR severity, negative cognitions about the self, and negative affect significantly and negatively predicted accessibility of a specific positive memory. Thus, count/accessibility of specific positive memories was associated with several post-trauma mental health indicators; this highlights the relevance and potential impact of integrating positive memories into trauma treatment.     

Relations among positive affect, negative affect, and somatic symptoms in a medically ill patient sample

The Positive and Negative Affect Scale (PANAS), a brief measure of Positive and Negative Affect, may be useful in assessing mood of medical patients because it does not include somatic items frequently confounded with medical conditions. In previous research Positive and Negative Affect have been independent and uncorrelated, and Negative Affect but not Positive Affect has been positively correlated with somatic symptoms. However, relationships between variables may vary in different populations, and there is relatively little information on Positive and Negative Affect in medical patients. In the current study, the PANAS was used to assess the relationships among Positive Affect, Negative Affect, and somatic symptoms and pain in a medically ill hospital population. Positive and Negative Affect scores were positively correlated and for patients reporting pain, Positive Affect scores were positively correlated with pain intensity. Results from this and other studies indicate that Positive and Negative Affect are independent but in some populations may be correlated; positive affects such as hopefulness may co-occur with both somatic complaints and psychological distress.     

The PANAS structure revisited: on the validity of a bifactor model in community and forensic samples

The Positive and Negative Affect Schedule (PANAS) is a widely used inventory for the assessment of affect in psychology and other applied sciences. Despite its popularity, the structure of the PANAS is still under debate. On the one hand, there is evidence of the traditional 2-factor model with Positive Affect (PA) and Negative Affect (NA) as uncorrelated factors. On the other hand, a more complex structure of the PANAS has been discussed. To shed further light on the core dimensions of the PANAS, 2 studies investigated the structure of the PANAS in 2 German samples (N = 354 and N = 364, respectively) by means of confirmatory factor analysis. The factor analysis results of Study 1 for a traitlike time frame instruction suggested a suboptimal model fit for the uncorrelated 2-factor model and the 3-factor model with PA, Afraid, and Upset as factors, whereas a superior model fit occurred for a bifactor model with traitlike PA, NA, and a general 3rd factor named Affective Polarity. In Study 2, the bifactor model was replicated for a statelike PANAS time frame instruction and evidence of criterion validity was provided for PA, NA, and Affective Polarity factors in 2 sex offender subgroups and in a community sample. With Affective Polarity, we introduce an affect dimension that captures additional variance beyond PA and NA. Because of the adjectives with relevant loadings on Affective Polarity, this general factor represents an individual's orientation toward approach and withdrawal, respectively.     

Modeling trait and state variation using multilevel factor analysis with PANAS daily diary data

This study used daily diary data to model trait and state Positive Affect (PA) and Negative Affect (NA) using the Positive and Negative Affect Schedule (PANAS; Watson, Clark, & Tellegen, 1988). Data were collected from 364 college students over five days. Intraclass correlation coefficients suggested approximately equal amounts of variability at the trait and state levels. Multilevel factor analysis revealed that the model specifying two correlated factors (PA, NA) and correlated uniqueness terms among redundant items provided the best fit. Trait and state PA and NA were generally associated with stress, anxiety, depression, and three types of self-esteem (performance, academic, social). The coefficients describing these relationships differed somewhat, suggesting that trait and state measurement may have different predictive utility.