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.     

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.     

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.     

A bifactor model of negative affectivity: fear and distress components among younger and older youth

The Positive and Negative Affect Schedule for Children (PANAS-C) is a 27-item youth-report measure of positive affectivity and negative affectivity. Using 2 large school-age youth samples (clinic-referred sample: N = 662; school-based sample: N = 911), in the present study, we thoroughly examined the structure of the PANAS-C NA and PA scales and fit a bifactor model to the PANAS-C NA items. Our exploratory factor analytic results demonstrated that negative affectivity is comprised of 2 main components-NA: Fear and NA: Distress-specifically among older youth. A bifactor model also evidenced the best model fit relative to a unidimensional and second-order factor structure of the PANAS-C NA items. The NA: Fear group factor evidenced significant correspondence with external criterion measures of anxiety. However, the original PANAS-C NA scale evidenced equal (and in some cases greater) correspondence with criterion measures of anxiety. We thus recommend continued usage and interpretation of the full PANAS-C NA scale despite the identification of the fear and distress group factors underlying general negative affectivity. The identification of these fear and distress group factors nonetheless suggest that negative affectivity may be comprised largely of a fear and distress component among older youth. The implications of these findings are discussed in relation to better understanding the structure of psychopathology across childhood development and informing the development of future treatments of negative emotions.     

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.     

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.     

A psychometric analysis of the Positive and Negative Affect Schedule for Children-Parent Version in a school sample

The current study was the 1st to examine the psychometric properties of the Positive and Negative Affect Schedule for Children-Parent Version (PANAS-C-P) using a large school-based sample of children and adolescents ages 8 to 18 (N = 606). Confirmatory factor analysis supported a 2-factor (correlated) model of positive affect (PA) and negative affect (NA). The PANAS-C-P scale scores also demonstrated acceptable internal consistency and convergent and divergent validity. The PANAS-C-P PA and NA scale scores also related to measures of anxiety and depression in a manner consistent with the tripartite model. Scale means and standard deviations were reported by grade and sex to provide normative data for the PANAS-C-P scales. Results from the present study provide initial support for the PANAS-C-P as a parent-reported perspective of youth PA and NA among school-based youths.     

A bifactor model of subjective well-being: A re-examination of the structure of subjective well-being

The present research has aimed to extend the previous research on the structure of subjective well-being (SWB) by applying the bifactor model. The Satisfaction with Life Scale (SWLS) and the Positive and Negative Affect Schedule (PANAS) were administered to two large samples of Serbian young adults (N₁ = 1669, N₂ = 1522). The bifactor model of SWB with one general and three specific factors (life satisfaction, positive affect, and negative affect) provided the best fit to the data and outperformed the original three-factor model and the higher-factor model in both samples. The results supported the multidimensional nature of SWB, with a strong general factor underlying the SWLS and PANAS. Bifactor modeling has shown that SWLS and PANAS reflect both common and specific variance in SWB, with about half of the reliable variance in life satisfaction, positive affect, and negative affect being independent of the general factor. The present findings imply that researchers should be careful when interpreting SWLS and PANAS scores and that general SWB factor should be taken into account. Implications for scale scoring and interpretation, and theoretical conceptualization of SWB are discussed.     

Measuring cancer patients' psychological distress and well-being: a factor analytic assessment of the Mental Health Inventory

This study examined the psychometric structure of the Mental Health Inventory (MHI) in 433 cancer patients. Using structural equation modeling, confirmatory factor analyses (CFAs) were conducted. Next, exploratory factor analysis (EFA) was used to explore an alternative MHI factor structure with a randomly chosen subsample. Finally, CFAs were conducted on 6 MHI models with the second subsample. Convergent validity was examined by administering the Positive and Negative Affect Schedule (PANAS) and the Dyadic Adjustment Scale (DAS). The CFAs with the original MHI factor structure indicated inadequate fit, supporting the need to conduct an EFA. Results of the EFA indicated support for a 5-factor solution but numerous differences in item factor loadings. The CFA indicated that the 5-factor correlated model was the best fitting model. Correlations between the PANAS and the DAS with the MHI provided preliminary support for the convergent validity of the MHI. Together, these results indicate that the original MHI factor structure may require modification for use in patients with cancer.     

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.     

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.     

Development and validation of brief measures of positive and negative affect: the PANAS scales

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.     

Evidence for a third factor on the Positive and Negative Affect Schedule in a college student sample

The Positive and Negative Affect Schedule (PANAS) was originally developed to measure two orthogonal dimensions of affect. The present study examined the factor structure of the PANAS in a sample of 302 undergraduates. maximum Likelihood factor analysis was used to compare two- and three-factor solutions to self-rated affect. The two-factor solution resulted in confirmation of the two factors of Positive and Negative Affect hypothesized to underlie the schedule. When, however, a three-factor solution was specified, the Positive Affect factor was retained, while the Negative Affect factor split into two lower-order factors generally consistent with the Upset and Afraid factors described by Mehrabian in 1997. These findings highlight the need for research to consider the possible influence of a third affective dimension, such as Dominance-Submissiveness on self-rated affective experience.     

Aging and symptoms of anxiety and depression: structural invariance of the tripartite model

Negative affect measures were evaluated in a cross-sectional community sample of adults aged 18-93 (N = 335) to examine the structure of neuroticism, anxiety, and depressive symptoms in young, middle, and older adult cohorts. Structural equation modeling was used to contrast 3 nested models: a 1-factor general distress model; a 2-factor high negative-low positive affect model; and a 3-factor "tripartite model" reflecting a higher order Negative Affect factor that is common to depression and anxiety problems and 2 lower order factors, Low Positive Affect (mostly specific to depression) and Arousal (specific to anxiety/panic). As expected, the tripartite model fit best for all age groups. Further, multigroup analyses indicated age invariance for the tripartite model, suggesting the model can be effectively applied with older populations.     

Facets of dynamic positive affect: differentiating joy, interest, and activation in the positive and negative affect schedule (PANAS)

This article proposes the differentiation of Joy, Interest, and Activation in the Positive Affect (PA) scale of the Positive and Negative Affect Schedule (PANAS; D. Watson, L. A. Clark, & A. Tellegen, 1988). Study 1 analyzed the dynamic course of PA before, during, and after an exam and established the differentiation of the three facets. Study 2 used a multistate-multitrait analysis to confirm this structure. Studies 3-5 used success-failure experiences, speaking tasks, and feedback of exam results to further examine PA facets in affect-arousing settings. All studies provide convincing evidence for the benefit of differentiating three facets of PA in the PANAS: Joy, Interest, and Activation do have distinct and sometimes even opposite courses that make their separation meaningful and rewarding.     

Specificity of cognitive and behavioral variables to Positive and Negative Affect

The Tripartite Model proposes that a combination of greater Negative Affect (NA) and reduced Positive Affect (PA) contributes to depressive symptoms. The purpose of this study was to test a model of affective experience in which cognitive variables (i.e., negative cognitions and appraisals) are uniquely related to NA but not PA, and in which behavioral variables (i.e., activity participation) are uniquely associated with PA but not NA. Participants included 88 spousal Alzheimer caregivers (mean age = 74 years). Multiple regression models, in which negative cognitions (i.e., helplessness, blames self, and negative appraisals) and activity participation (i.e., frequency of engaging in social and recreational activities) were used to predict depressive symptoms, PA and NA. Results indicated that while helplessness, blaming oneself, negative appraisals, and activity participation all significantly predicted depressive symptoms, only negative cognitive variables significantly predicted NA, and only activity participation significantly predicted PA. These data confirm that depressive experience consists of two relatively independent components - increased Negative Affect and reduced Positive Affect - which have unique correlates in negative cognitions and activity participation. If confirmed, the findings suggest the utility of focusing interventions on each of these components in the management of depressive symptoms.     

Examining the Factor Structure and Structural Invariance of the PANAS Across Children,Adolescents, and Young Adults

It is unclear what factor structure best represents the Positive and Negative Affect Schedule (PANAS) from childhood to adulthood. The PANAS structure was examined in a sample of 555 children (M age = 11.66, SD = 1.24), 608 adolescents (M age = 15.45, SD = 1.09), and 553 young adults (M age = 18.75, SD = 1.00). A partially invariant model consisting of Positive Affect, Fear, and Distress factors best represented the PANAS across all age groups, indicating that the underlying constructs are the same across age but that the factors become increasingly interrelated with increasing age.     

Ratings of Emotional Response to Pictorial Stimuli: Positive and Negative Affect Dimensions

The purpose of this study was to investigate the structure of emotional responses to pictorial stimuli within the affective space defined by orthogonal dimensions of positive affect (PA) and negative affect (NA). College student participants (N = 151) viewed 60 color photographic slides from the International Affective Picture System (Lang, Bradley, & Cuthbert, 1995) and rated their emotional responses to each slide using the Positive and Negative Affect Schedule (Watson, Clark, & Tellegen, 1988). Consistent with prediction, affective reactions to pleasant slides were characterized as high in PA, and low in NA. Unpleasant slides produced elevations on the NA scale, but contrary to expectation, also produced elevated ratings of PA, with the magnitude of PA scale scores increasing systematically with NA scale scores. The results suggest an interesting divergence between the structure of pictorially elicited affective reactions and that of ad hoc mood states. Directions for future research are discussed in relation to the unique properties of the slide viewing paradigm.     

Spanish validation of the Affective Neuroscience Personality Scales

The Affective Neuroscience Personality Scales have been designed to provide a personality assessment tool based on six distinct affective systems. The six neural systems involved were labeled PLAY, SEEK, CARE, FEAR, ANGER and SADNESS. Spirituality has been integrated into the questionnaire as a seventh dimension because, in opinion of Panksepp and his colleagues is one of the most interesting human emotion. The aim of the present paper was introduce the validation of the Spanish version of Affective Neuroscience Personality Scales and their first psychometric results in a sample of 411 college students. Participants completed the Spanish version of ANPS, just as a personality scale of five factors (NEO-FFI-R), and the Scales of Positive and Negative Affect (PANAS). The factor structure obtained and psychometric properties of the scales indicate that the Spanish version of the scales provides an effective tool to measure the seven dimensions of personality proposal in the original questionnaire.