Fuzzy set qualitative comparative analysis (fsQCA) is a method for assessing the effects of configurations of variables leading to an outcome. The recent growth of interest in this technique in organizational psychology is proving this method to be an important tool for addressing new and decisive research hypotheses. However, the effectiveness of fsQCA is dictated not only by its general principles, but also by how well these are understood and applied in the research community. Consequently, a guide that covers the fundamental ideas and tenets of the approach is required to aid the research community in its comprehension and practical application. The current study seeks to offer an understanding of FsQCA by providing: (a) A complete description of the method highlighting some of the most important theoretical-methodological aspects; (b) a perspective on the most used guidelines and recommendations, and (c) step-by-step instructions on how to carry out FsQCA in R using the QCA package. Data from 120 employees and supervisors derived from a company based in central Italy were used o best to illustrate how to carry out fsQCA. Codes for conducting the analyses from the QCA package for R accompany the tutorial and can be adapted to a new dataset.

Co-active coping is a fundamental construct in organizational and work environments as it allows for the exploration of individual and group behaviors within organizations. The aim of this study was to develop a new scale called the Co-Active Coping Inventory in the Chilean context. The sample was comprised of 1,442 workers with an average age of 30.48 years (SD = 11.13). 55% were public-sector workers, 34.5% were workers in private commercial organizations, and 10.5% belonged to non-profit private organizations. Different exploratory factor analyses were performed, and the best exploratory model was verified with a confirmatory factor analysis. In addition, multiple linear regressions were used to analyze which dimensions of co-active coping helped predict workers’ burnout (emotional exhaustion, affective hardening, and personal fulfillment) and symptomatology (psychological and somatic). Based on the exploratory and confirmatory approach, the Co-Active Coping Inventory showed a good fit to a structure of five correlated factors (Reflective Action, Rash Action, Search for Spiritual Support, Search for Affective Support and Evasion), demonstrating measurement invariance in terms of sex and type of organization. The different domains of co-active coping explain between 20% (emotional exhaustion) and 41% (affective hardening) of occupational burnout and around 3–5% of workers’ symptomatology, with reflective action being the most important variable. These results indicate that the new scale has suitable psychometric properties; it can assess coping strategies in the Chilean organizational context in a reliable and valid way. These coping strategies have demonstrated certain importance in relation to organizational and clinical variables.

Intimate partner violence against women (IPVAW) is a public health problem that affects women worldwide. Consequently, victims frequently go to healthcare centers, usually with a cover reason. To address this problem, national and autonomic protocols to respond to IPVAW in health systems have been developed in Spain. In this regard, the role of primary care physicians (PCPs) will be essential for addressing IPVAW, but they could encounter obstacles in doing so. The purpose of this study was to explore how IPVAW is addressed in healthcare centers in Spain. This study synthesized the information available in the protocols to address IPVAW among health care workers in Spain and analyzed it according to World Health Organization (WHO) guidelines. Additionally, PCPs’ perspectives on these protocols and the nature of IPVAW attention from healthcare centers were explored through a focus group. The findings displayed that, although the protocols mostly conform to WHO guidelines, they are insufficient to address IPVAW. Generally, PCPs were unaware of the existence of the protocols and referred to the lack of training in IPVAW and protocol use as one of the main obstacles to intervening, along with a lack of time and feelings as well as cultural, educational, and political factors. The adoption of measures to ensure that PCPs apply these protocols correctly and to approach PCPs’ obstacles for addressing IPVAW in consultations will be crucial for the care of victims.

The aim of this study is to contribute to the evidence regarding variables related to emotional symptom severity and to use them to exemplify the potential usefulness of logistic regression for clinical assessment at primary care, where most of these disorders are treated. Cross-sectional data related to depression and anxiety symptoms, sociodemographic characteristics, quality of life (QoL), and emotion-regulation processes were collected from 1,704 primary care patients. Correlation and analysis of variance (ANOVA) tests were conducted to identify those variables associated with both depression and anxiety. Participants were then divided into severe and nonsevere emotional symptoms, and binomial logistic regression was used to identify the variables that contributed the most to classify the severity. The final adjusted model included psychological QoL (p < .001, odds ratio [OR] = .426, 95% CI [.318, .569]), negative metacognitions (p < .001, OR = 1.083, 95% CI [1.045, 1.122]), physical QoL (p < .001, OR = .870, 95% CI [.841, .900]), brooding rumination (p < .001, OR = 1.087, 95% CI [1.042, 1.133]), worry (p < .001, OR = 1.047, 95% CI [1.025, 1.070]), and employment status (p = .022, OR [.397, 2.039]) as independent variables, ρ2 = .326, area under the curve (AUC) = .857. Moreover, rumination and psychological QoL emerged as the best predictors to form a simplified equation to determine the emotional symptom severity (ρ2 = .259, AUC = .822). The use of statistical models like this could accelerate the assessment and treatment-decision process, depending less on the subjective point of view of clinicians and optimizing health care resources.

The aim of the present study was to conduct a preliminary study of the Stanford Gender-Related Variables for Health Research (GVHR) adapted to the Spanish population, testing its factor structure, sex factorial invariance and relationship with health variables. Participants were 438 adults between 19–73 years old (M = 31.90, SD = 12.12) who completed the GVHR and measures of health-related quality of life, psychological health, and health-risk behaviors. The confirmatory factorial analysis of the GVHR indicated an acceptable fit to the 7-factor structure as proposed for the North American population. Emotional intelligence and independence factors had low internal consistency, therefore, a five-factor model was tenable in the Spanish population. Sex scalar invariance was tenable, indicating that the factors latent means can be meaningfully compared across sex. Univariate logistic regressions indicated that women reported worse mental and physical health and more health limitations, but this effect dissipated when gender variables were considered. Caregiver and work strain stood out as the variables related to gender that predicted worse health-related quality of life, psychological health, and health-risk behaviors. In conclusion, factorial structure of the GVHR may differ from one culture to another. Additionally, the variables related to gender in the GVHR give a better account of the differences in health compared to biological sex.

The main objective of this study was to analyze the differences between older adults’ symptom profiles (subclinical, anxiety, depressive, and comorbid) in negative aging self-stereotypes, loneliness, and feelings of guilt associated with self-perception as a burden. Participants were 310 community-dwelling people aged 60 years and over. The sample was grouped into four symptom profiles of older adults: anxiety, depressive, comorbid anxiety-depression, and subclinical symptoms. We carried out multinomial logistic regression analyses to analyze the role of assessed variables in the explanation of the four symptom profiles. Older adults who reported a comorbid symptomatology presented higher negative aging self-stereotypes and feelings of loneliness than the other three profiles. Compared with the subclinical profile, older adults who reported clinical symptomatology (anxiety, depressive, and comorbid profile) presented higher feelings of guilt associated with self-perception as a burden. The findings of this study suggest potential associations that may contribute to understanding and treating comorbid anxiety and depressive symptoms in older adults.

According to the phenomenon commonly known as action effect and vastly replicated across the judgment and decision-making literature, more regret is associated with decisions resulting from action than inaction. Action vs. inaction, however, might either refer to change vs. no change or doing something vs. not doing something. The purpose of this study was to examine the effect of this variation in operationalization of action-inaction on the strength of action effect, for both positive and negative outcomes, across four different domains of employment, finance, education, and health. This was an experimental scenario-based study (N = 215) with four between-subjects conditions varying in outcome valence and the actor’s initial state as either engaged or non-engaged in a particular course of action. Action effect was found to be stronger with respect to the initially engaged than the initially non-engaged decision-maker (ηp2 = .04), indicating that action as change results in a stronger action effect than action as doing something. The effect of the initial state was also moderated by domain. In addition, we both replicated and went beyond prior empirical literature regarding the effect of outcome valence and domain on action effect, with our findings being mostly consistent across joy and regret. Findings are discussed in light of the norm theory and its key concept of normality and contribute to the literature on moderators of action effect.

Drawing on the integrative model of uncertainty tolerance, we aimed to investigate whether uncertainty relates to adaptive performance, at the within-person level. We argue that daily uncertainty at work will trigger negative affective reactions that, in turn, will minimize adaptive performance. Moreover, we focus on socio-cognitive mindfulness as a cross-level moderator of the indirect relationship of uncertainty on adaptive performance via negative affect. To capture changes in daily life and test our model, we conducted two diary studies across 5-working days: One with a sample of telecommuters (n = 101*5 = 505), and the other with a sample of non-telecommuters (n = 253*5 = 1,265). Study 1 took place between February and March of 2021 (during the mandatory confinement), and Study 2 occurred between April and May 2021 (out of the mandatory confinement). Both studies were conducted in Portugal. The multilevel results showed that at the day-level of analysis, uncertainty decreased adaptive performance through the enhanced negative affect. Moreover, at the person-level of analysis mindfulness moderated (a) the direct relationship of uncertainty to adaptive performance, and (b) the indirect relationship of uncertainty to adaptive performance via negative affect, in such a way that it became weaker when mindfulness was higher (multilevel-mediated moderation effect). This relation was different between Studies 1 and 2; that is, in Study 1, teleworkers who were high on mindfulness engaged in more adaptive performance when negative affect was high. In Study 2, adaptive performance significantly decreased, when negative affect was higher, even though this effect was weaker for mindful of individuals. The findings show that mindfulness helps to fill in the spaces of the affective uncertainty attenuating its detrimental effects.