When eco-anger (but not eco-anxiety nor eco-sadness) makes you change! A temporal network approach to the emotional experience of climate change.

Research on the emotional experience of climate change has become a hot topic. Yet uncertainties remain regarding the interplay between climate change-related emotions (i.e., eco-anxiety, eco-anger, eco-sadness), general emotions (i.e., regardless of climate change), and pro-environmental behaviors. Most previous research has focused on cross-sectional studies, and eco-emotions in everyday life have seldom been considered. In this preregistered study, 102 participants from the general population rated their eco-emotions (i.e., eco-anxiety, eco-anger, eco-sadness), general emotions (i.e., anxiety, anger, sadness), and pro-environmental intentions and behaviors daily over a 60-day period. Using a multilevel vector autoregressive approach, we computed three network models representing temporal (i.e., from one time-point to the next), contemporaneous (i.e., during the same time-frame), and between-subject (i.e., similar to cross-sectional approach) associations between variables. Results show that eco-anger was the only predictor of pro-environmental intentions and behaviors over time. At the contemporaneous level, the momentary experience of each eco-emotion was associated with the momentary emotional experience of the corresponding general emotion, indicating the distinctiveness of each eco-emotion and the correspondence between its experience and that of its general, non-climate-related emotion. Overall, our findings 1) emphasize the driving role of eco-anger in prompting pro-environmental behaviors over time, 2) suggest a functional and experiential distinction between eco-emotions, and 3) provide data-driven clues for the field's larger quest to establish the scientific foundations of eco-emotions.

Is There an All-Embracing "Intolerance to Uncertainty" Construct? French Adaptation and Validation of the Intolerance to Uncertainty Scale-Revised.

Objective: Intolerance to uncertainty is a trait-like disposition largely studied in psychopathology and known to be involved in many psychological disorders. Yet, the very operationalization of this construct has prompted debate in the literature. Three different models have regularly been discussed: a correlated two-factor solution, a bifactorial solution, and a single-factor structure. A growing body of evidence suggests that the bifactorial model represents the adequate factorial solution; however, its validity has never been tested in a large French-speaking sample. Moreover, uncertainty remains regarding the associations between IUS-R and other psychological constructs, especially stress and depression. This project was designed to overcome these limitations. Method: To do so, we translated the scale into French and tested (n = 728) via confirmatory factor analyses (CFA) whether the French version would better fit with a bifactorial-, correlated, or single-factor structure, as implied by previous works. We also examined the internal reliability of the IUS-R, as well as its associations with concurrent measures of stress, depression, anxiety, and worry. Results: The results pointed to a bifactorial structure as the best-fitting model and provided evidence for a strong general intolerance of uncertainty factor that was more reliable and accounted for significantly more common variance than each subscale factor individually. Conclusions: We discuss how this bifactorial structure impacts the conceptualization of IU.

Parental burnout features and the family context: A temporal network approach in mothers.

Many parents have days where they encounter emotional exhaustion, emotional distance from their children, and feeling fed up with being a parent. Some parents experience these characteristics to a severe extent-a clinical phenomenon termed parental burnout. Parental burnout arises when parents chronically endure severe stress without sufficient resources to cope, which may lead to detrimental consequences not only for the parent but also for their partner (e.g., marital conflict) and children (i.e., neglect and violence). However, uncertainty remains regarding how these features interact and trigger one another over time (potentially becoming increasingly severe), nor how the daily variations of the family context influence these features. Therefore, in this study, we recruited 50 parents (with main analyses focusing on 43 mothers with a co-parent, and sensitivity analyses with the full sample) from the general population to rate the core features of parental burnout and the family context daily over 56 days. We used multilevel vector autoregressive models to generate network models. Results suggest that exhaustion contributes to parental burnout: It self-predicts and is closely associated with feeling fed up and finding children difficult to manage. Distance, by contrast, is mainly negatively connected to sharing positive moments with children. Contextual variables also interact with parental burnout features, illustrating the relevance of examining parenting within the family system context. If future research confirms a central role of exhaustion in parental burnout development, prevention efforts can focus on decreasing parental exhaustion. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Auditing the research practices and statistical analyses of the group-level temporal network approach to psychological constructs: A systematic scoping review.

Network analyses have become increasingly common within the field of psychology, and temporal network analyses in particular are quickly gaining traction, with many of the initial articles earning substantial interest. However, substantial heterogeneity exists within the study designs and methodology, rendering it difficult to form a comprehensive view of its application in psychology research. Since the field is quickly growing and since there have been many study-to-study variations in terms of choices made by researchers when collecting, processing, and analyzing data, we saw the need to audit this field and formulate a comprehensive view of current temporal network analyses. To systematically chart researchers' practices when conducting temporal network analyses, we reviewed articles conducting temporal network analyses on psychological variables (published until March 2021) in the framework of a scoping review. We identified 43 articles and present the detailed results of how researchers are currently conducting temporal network analyses. A commonality across results concerns the wide variety of data collection and analytical practices, along with a lack of consistency between articles about what is reported. We use these results, along with relevant literature from the fields of ecological momentary assessment and network analysis, to formulate recommendations on what type of data is suited for temporal network analyses as well as optimal methods to preprocess and analyze data. As the field is new, we also discuss key future steps to help usher the field's progress forward and offer a reporting checklist to help researchers navigate conducting and reporting temporal network analyses.

An Experience Sampling Measure of the Key Features of Rumination.

Objective: Research indicates that rumination can be viewed as a dynamic process that fluctuates over time, within hours and days. An increasing number of intensive longitudinal studies on rumination are accordingly being conducted and published using experiencing sampling methodology (ESM), a technique with measurements in everyday life. Yet, this literature suffers from a profound caveat: rumination has so far been conceptualized and measured as a unitary construct in these ESM studies. This is unfortunate, since such a unitary view contrasts with prominent contemporary models that regard rumination as a multifaceted construct, wherein the key features are not interchangeable and should therefore be measured separately. Moreover, no validated ESM measure of the key features of rumination has yet been developed. Therefore, we developed and validated an ESM protocol and the first ESM questionnaire to assess rumination as a multifaceted construct, measuring five features of rumination. Method: We conducted an ESM study in a community sample of 40 French-speaking participants. They answered the five rumination ESM items in French four times a day for fourteen days. At the end of the ESM assessment period, participants completed trait-like questionnaires of rumination, depression, and general anxiety. Results: The ESM rumination items exhibited good psychometric properties, including excellent within-person variability and convergent validity with corresponding trait-like constructs. Conclusions: Although further validation is warranted, this novel ESM assessment protocol of rumination as a multifaceted construct (validated in French and translated into English) will allow future researchers to study how rumination's features fluctuate and interact with other constructs over time.

On the Measurement of Climate Change Anxiety: French Validation of the Climate Anxiety Scale.

The notion of climate change anxiety has gained traction in the last years. Clayton & Karazsia (2020) recently developed the 22-item Climate Change Anxiety Scale (CAS), which assesses climate change anxiety via a four-factor structure. Yet other research has cast doubts on the very structure of the CAS by calling either for a shorter (i.e. 13 items) two-factor structure or for a shorter single-factor structure (i.e. 13 items). So far, these three different models have not yet been compared in one study. Moreover, uncertainty remains regarding the associations between the CAS and other psychological constructs, especially anxiety and depression. This project was designed to overcome these limitations. In a first preregistered study (n = 305), we translated the scale into French and tested, via confirmatory factor analyses (CFA), whether the French version would better fit with a four-, two-, or single-factor structure, as implied by previous works. We also examined how the CAS factors related to depression, anxiety, and environmental identity. In a second preregistered study, we aimed at replicating our comparison between the three CFA models in a larger sample (n = 905). Both studies pointed to a 13-item version of the scale with a two-factor structure as the best fitting model, with one factor reflecting cognitive and emotional features of climate change anxiety and the other reflecting the related functional impairments. Each factor exhibited a positive association with depression and environmental identity but not with general anxiety. We discuss how this two-factor structure impacts the conceptualization of climate change anxiety.

A network approach to the five-facet model of mindfulness.

Despite the large-scale dissemination of mindfulness-based interventions, debates persist about the very nature of mindfulness. To date, one of the dominant views is the five-facet approach, which suggests that mindfulness includes five facets (i.e., Observing, Describing, Nonjudging, Nonreactivity, and Acting with Awareness). However, uncertainty remains regarding the potential interplay between these facets. In this study, we investigated the five-facet model via network analysis in an unselected sample (n = 1704). We used two distinct computational network approaches: a Gaussian graphical model (i.e., undirected) and a directed acyclic graph, with each model determining the relations between the facets and their relative importance in the network. Both computational approaches pointed to the facet denoting Acting with Awareness as playing an especially potent role in the network system. Altogether, our findings offer novel data-driven clues for the field's larger quest to ascertain the very foundations of mindfulness.

A network approach to parental burnout.

BACKGROUND: The use of network analyses in psychology has increasingly gained traction in the last few years. A network perspective views psychological constructs as dynamic systems of interacting elements. OBJECTIVE: We present the first study to apply network analyses to examine how the hallmark features of parental burnout - i.e., exhaustion related to the parental role, emotional distancing from children, and a sense of ineffectiveness in the parental role - interact with one another and with maladaptive behaviors related to the partner and the child(ren), when these variables are conceptualized as a network system. PARTICIPANTS AND SETTING: In a preregistered fashion, we reanalyzed the data from a French-speaking sample (n = 1551; previously published in Mikolajczak, Brianda et al., 2018), focusing on seven specific variables: the three hallmark parental burnout features, partner conflict, partner estrangement, neglectful behavior toward children, and violent behavior toward children. METHODS: We computed two types of network models, a graphical Gaussian model to examine network structure, potential communities, and influential nodes, and a directed acyclic graph to examine the probabilistic dependencies among the different variables. RESULTS: Both network models pointed to emotional distance as an especially potent mechanism in activating all other nodes. CONCLUSIONS: These results suggest emotional distance as critical to the maintenance of the parental burnout network and a prime candidate for future interventions, while affirming that network analysis can successfully expose the structure and relationship of variables related to parental burnout and its consequences related to the partner and the child(ren).

Why we should move from reductionism and embrace a network approach to parental burnout.

Network science has allowed varied scientific fields to investigate and visualize complex relations between many variables, and psychology research has begun to adopt a network perspective. In this paper, we consider how leaving behind reductionist approaches and instead embracing a network perspective can advance the field of parental burnout. Although research into parental burnout is in its early stages, we argue that a network approach to parental burnout could set the scene for radically new vistas in parental burnout research. We claim that such an approach can allow simultaneous investigations (and clear visualizations) of many variables related to parental burnout and their interactions, integrates smoothly with prior family systems theories, and prioritizes dynamic research questions. We likewise discuss potential future clinical applications, such as interventions targeting central nodes and treatment personalized to a specific family's network system. We also review practical considerations, limitations, and future directions for researchers interested in applying a network approach to parental burnout research.

Remembering happy times instead of sticking to negative memories after social exclusion.

BACKGROUND & OBJECTIVES: Previous research shows that difficulty disengaging from negative (self-related) stimuli (i.e. negative self-referential processing; NSP) is a vulnerability factor for depression (Gotlib & Joormann, 2010) and contributes to its recurrence (LeMoult, Kircanski, Prasad, & Gotlib, 2017). The Emotional Reversal Learning Task (ERLT) was designed to investigate this, and we examined its construct validity by inducing social rejection, an etiological process of depression, within the ERLT model. We expected excluded participants to have difficulty disengaging from NSP. METHODS: We administered Cyberball to 130 participants randomly assigned to the excluded or included condition. Participants then completed the ERLT: They chose a valence option (positive or negative), retrieved a memory of the same valence, and then were rewarded or punished for their valence choice. For the first phase, retrieving a negative memory was probabilistically rewarded, and this action-outcome contingency was twice reversed during the task. We used Q-learning models to analyze learning rates. RESULTS: Excluded participants had no more difficulty disengaging from NSP than included participants: Bayesian computational modeling identified no difference between conditions regarding learning that retrieving negative memories was punished. Exploratory analyses found that excluded participants learned the association between retrieving positive memories and reward quicker than included participants, however. LIMITATIONS: Doubts remain regarding whether participants fully understood action-outcome contingencies, and we did not explicitly check whether participants truly retrieved memories, which could have affected results. CONCLUSIONS: We did not find support for the construct validity of the ERLT when using social exclusion to model depressogenic development within the ERLT.