The effect of sensitization and coping style on post-traumatic stress symptoms and quality of life: two longitudinal studies

The present study investigated the effects of multiple trauma exposure and coping style on post-traumatic stress symptoms and quality of life. It was hypothesized that sensitization would occur in subjects repeatedly exposed to life-threatening situations (study 1), and different coping styles would act as a resilience or facilitating factor in symptom development (study 2). The results showed that the single-exposure group revealed a decrease in trauma specific stress reactions from three weeks to four months, with a persistent reduction at 12-month follow-up, while the repeated-exposure group showed an increase in symptom reporting over the 12-month period. The same pattern emerged for perceived quality of life-measured by the General Health Questionnaire (GHQ-30). The second study revealed a correlation between scores on avoidant-focused coping style and the Impact of Event Scale-avoidance dimension, Post-traumatic Symptom Scale and GHQ-30. Furthermore, only subjects with a dominant coping style of emotion-focused or task-focused coping showed a reduction in trauma-specific symptom scores over time.     

Relationship between language competence and emotional competence in middle childhood

Research on children's emotional competence has received considerable attention in the last decade, including the role of language. Language competence (LC) and emotional competence (EC) comprise multiple components. These components and their specific interrelations have not been studied sufficiently. In our study, we examined relations between multiple components of LC and EC in a sample of 210 school-age children. Five measures represented LC: receptive vocabulary, verbal fluency, literacy, narrative structure, and the narrative use of evaluative devices. Four measures represented EC: expressive emotion vocabulary, declarative emotion knowledge, awareness of mixed emotions, and facial emotion recognition. Results showed strong positive correlations between LC and EC ranging between r = .12 and r = .45. In particular, receptive vocabulary and literacy were closely related to emotion knowledge and awareness of mixed emotions. A confirmatory factor analysis revealed that there is a common general ability factor for LC and EC. We discuss why receptive vocabulary and literacy might be so strongly related to emotion knowledge in school-age children. Our findings have implications for developmental psychologists, educational research, and speech-language pathologists.     

Humor Styles,Perceived Threat,Funniness of COVID-19 Memes,and Affective Mood in the Early Stages of COVID-19 Lockdown

Existing psychological research has long considered humor as a useful strategy for individuals in coping with adverse circumstances and life stressors. However, empirical studies are called for to better understand the role of humor in facing the COVID-19 pandemic. In a community sample of 527 Spanish adults, we investigated the associations between humor styles, perceived threat from COVID-19, funniness of COVID-19 memes, and individuals’ affective mood. Data were collected during the third week of lockdown in Spain (from 26 to 31 March 2020). Our results suggest that intrapsychic humor styles were associated with better coping with the COVID-19 pandemic. Structural equation modelling showed that self-enhancing and aggressive humor styles were related to perceiving COVID-19 as less psychologically threatening, which, in turn, was associated with a greater perceived funniness of COVID-19 memes, thus predicting higher levels of happiness. Interestingly, the opposite pattern of connections was found for self-defeating humor. These findings suggest that humor styles aimed at boosting one’s own self, irrespective of their potentially lighter or darker nature, may contribute to alleviating adverse psychological consequences arising from the COVID-19 pandemic.

     

A multitrait-multimethod model with minimal assumptions

A new model of confirmatory factor analysis (CFA) for multitrait-multimethod (MTMM) data sets is presented. It is shown that this model can be defined by only three assumptions in the framework of classical psychometric test theory (CTT). All other properties of the model, particularly the uncorrelated-ness of the trait with the method factors are logical consequences of the definition of the model. In the model proposed there are as many trait factors as different traits considered, but the number of method factors is one fewer than the number of methods included in an MTMM study. The covariance structure implied by this model is derived, and it is shown that this model is identified even under conditions under which other CFA-MTMM models are not. The model is illustrated by two empirical applications. Furthermore, its advantages and limitations are discussed with respect to previously developed CFA models for MTMM data.     

Analysing multisource feedback with multilevel structural equation models: Pitfalls and recommendations from a simulation study

When multisource feedback instruments, for example, 360-degree feedback tools, are validated, multilevel structural equation models are the method of choice to quantify the amount of reliability as well as convergent and discriminant validity. A non-standard multilevel structural equation model that incorporates self-ratings (level-2 variables) and others’ ratings from different additional perspectives (level-1 variables), for example, peers and subordinates, has recently been presented. In a Monte Carlo simulation study, we determine the minimal required sample sizes for this model. Model parameters are accurately estimated even with the smallest simulated sample size of 100 self-ratings and two ratings of peers and of subordinates. The precise estimation of standard errors necessitates sample sizes of 400 self-ratings or at least four ratings of peers and subordinates. However, if sample sizes are smaller, mainly standard errors concerning common method factors are biased. Interestingly, there are trade-off effects between the sample sizes of self-ratings and others’ ratings in their effect on estimation bias. The degree of convergent and discriminant validity has no effect on the accuracy of model estimates. The χ² test statistic does not follow the expected distribution. Therefore, we suggest using a corrected level-specific standardized root mean square residual to analyse model fit and conclude with further recommendations for applied organizational research.     

The Influence of Major Life Events and Personality Traits on the Stability of Affective Well-Being

The current study examines the influence of major life events compared to personality traits on the stability of affective well-being (AWB). It is shown how the decomposition of autocovariances can be used to estimate the degree of stability that is due to life events and personality traits. The approach is illustrated by an analysis of data from a nationally representative Australian sample with four consecutive waves of measurement. The autocovariances of positive and negative mood served as indicators of the stability of AWB. Big five personality traits as well as 21 major life events were used as predictor variables in a path analysis. In comparison to previous studies, this allowed to directly compare the effects of multiple events to the influence of personality traits in a longitudinal design. Results indicated medium stability coefficients for AWB. Ca. 10 % of the autocovariances could be accounted for by life events and about 20 % by personality traits. Both types of predictors together accounted for about 30 %. Among personality traits, emotional stability followed by extraversion had the highest effects. Among life events “financial worsening” and “serious personal injury/illness” had the highest effects. Additionally, life events were significantly correlated with personality traits as well as with other life events. In a next step, it might be interesting to compare the influence of Big Five personality traits and stable life circumstances on the stability of the cognitive well-being component, using a similar statistical procedure. Also, as the number of variables in large panel studies is limited, results should be complemented by more in-depth studies, favourably using multi-method approaches.     

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.     

Complainer Profile Identification (CPI): properties of a new questionnaire on subjective cognitive complaints

Subjective cognitive complaints (SCC) and their role as a possible indicator for subsequent dementia became of growing interest in recent research. In contrast to studies that focused primarily on memory complaints, we aimed to (a) evaluate a questionnaire to register SCC in multiple cognitive domains (Complainer Profile Identification, CPI), (b) assess the association between SCC and psychosocial variables, and (c) assess whether complainer types can be differentiated. Confirmatory factor analysis to evaluate construct validity was computed based on a sample of 734 healthy participants (mean [M] = 43.15 years). On a subsample of 644 participants, the relationship between the total level of SCC with age, depression, social integration, and aging stereotypes was assessed utilizing multiple regression analysis. Differences in complainer types were assessed by multivariate analysis of variance. The results indicate sound psychometric properties of the CPI. The overall level of SCC is largely influenced by depressiveness, whereas executive complainers show the highest level of depressive affect, being overall younger and less socially integrated.     

Response styles in the assessment of anger expression

This study demonstrates how mixture distribution item response models can be used to detect different response styles in the clinical assessment of anger expression. Analyses of 3 subscales of the State-Trait Anger Expression Inventory in a clinical sample of 4,497 patients revealed that there are different response styles that manifest themselves in 2- and 3-class solutions. These solutions are robust across subsamples. Response styles reflect both psychologically meaningful biases (i.e., social desirability) and nonmeaningful response category preferences. Person parameters that correct for class membership (and thus, for response styles) are computed and compared with raw scores. The implications of these results for research on clinical assessment are discussed.