Validation of the Short Version (TLS-15) of the Triangular Love Scale (TLS-45) across 37 Languages.

Love is a phenomenon that occurs across the world and affects many aspects of human life, including the choice of, and process of bonding with, a romantic partner. Thus, developing a reliable and valid measure of love experiences is crucial. One of the most popular tools to quantify love is Sternberg's 45-item Triangular Love Scale (TLS-45), which measures three love components: intimacy, passion, and commitment. However, our literature review reveals that most studies (64%) use a broad variety of shortened versions of the TLS-45. Here, aiming to achieve scientific consensus and improve the reliability, comparability, and generalizability of results across studies, we developed a short version of the scale-the TLS-15-comprised of 15 items with 5-point, rather than 9-point, response scales. In Study 1 (N = 7,332), we re-analyzed secondary data from a large-scale multinational study that validated the original TLS-45 to establish whether the scale could be truncated. In Study 2 (N = 307), we provided evidence for the three-factor structure of the TLS-15 and its reliability. Study 3 (N = 413) confirmed convergent validity and test-retest stability of the TLS-15. Study 4 (N = 60,311) presented a large-scale validation across 37 linguistic versions of the TLS-15 on a cross-cultural sample spanning every continent of the globe. The overall results provide support for the reliability, validity, and cross-cultural invariance of the TLS-15, which can be used as a measure of love components-either separately or jointly as a three-factor measure.

Measuring various aspects of coronavirus anxiety: a psychometric evaluation of Pandemic anxiety and Coronophobia scales from the latent and network perspective.

Since the outbreak of COVID-19, understanding and describing the changes in experiences related to the pandemic and its correlates have become crucial. The current study aims to provide a psychometric evaluation and examination of the relationship of two COVID-related anxiety scales through the latent and network approach. The data was collected from the same participants at two time points (Nwave 1 = 1283; Nwave 2 = 1326). The study examined the psychometric properties of the Pandemic Anxiety Scale and Coronaphobia scale. It also examined the factor structure, invariance and relationship with selected variables through both the latent and network approach. The results revealed that both scales provided good fit and psychometric properties-PAS (wave1: CFI = 0.97, TLI = 0.95, RMSEA = 0.05 [0.04, 0.07], SRMR = 0.048; wave2: CFI = 0.97, TLI = 0.95, RMSEA = 0.05 [0.04, 0.07], SRMR = 0.049), and Coronaphobia scale (wave1: CFI = 0.99, TLI = 0.98, RMSEA = 0.05 [0.03, 0.07], SRMR = 0.027; wave2: CFI ~ 1, TLI = 0.99, RMSEA = 0.03 [0.002, 0.06], SRMR = 0.015). The results also indicated that distinguishing between them is crucial as they were related differently to various variables. The global network models provided a more complex insight in their connections with the set of selected variables. The PAS and Coronaphobia scales are brief and valid measures that can be used in research looking at mental health issues related to the pandemic. The present study shows a unique pattern of relationships of these scales with other variables, extending previous studies into the topic of COVID-related anxiety.

The mediating effect of institutional trust in the relationship between precarity and conspiracy beliefs: A conceptual replication of Adam-Troian et al. (2023).

The paper reports the results of registered conceptual replications of the indirect effect of institutional trust in the relationship between precarity and the endorsement of conspiracy beliefs (CB). The original study of Adam-Troian et al. (2023; British Journal of Social Psychology, 62(S1), 136-159) indicated that subjective appraisals of economic hardship are associated with lower trust in governments and institutions, which in turn is associated with stronger endorsement of CB. Our Studies 1 to 3 report a series of replications using Slovak panel data. Study 4 reports a replication of the mediation model using data from the European Social Survey Round 10 collected in 17 countries. To provide a quantitative synthesis of these and previous results, we conducted mini meta-analysis (N = 50,340). Although the strength of the observed relationships differed across the studies to some degree, the original patterns of relations remained robust, supporting the original model. The study corroborates the view that to curb the spread of CB, it is necessary to address structural issues, such as growing financial insecurity, socioeconomic inequalities, and the deficit of institutional trust. Finally, we discuss the role of cultural and political settings in conditioning the mechanisms through which precarity enhances the endorsement of CB.

Intolerance of uncertainty and reactions to the COVID-19 pandemic.

The COVID-19 pandemic has presented a threat to mental health worldwide. The current study aims to investigate the role of intolerance of uncertainty in cognitive, emotional and behavioral reactions to this pandemic and propose a path model of these reactions. In the first two months of the COVID-19 pandemic in Slovakia, participants in a general sample (n = 1,011) as well as an older adult sample (n = 655) completed measures regarding intolerance of uncertainty, mental health (anxiety, well-being, perceived stress) and adherence to preventive measures. Two rounds of data collection were carried out in the first sample. Intolerance of uncertainty was found to be related to mental health indicators and the structural equation model showed a direct and indirect effect on them as well as on the adherence to preventive measures. However, the comparison of data from different time points has brought inconsistent results. The findings highlight the role of intolerance of uncertainty in reaction to threat and indicate the potential of uncertainty reduction e.g., getting clear messages from authorities, as a way of decreasing mental health problems.

The Psychological Science Accelerator: Advancing Psychology through a Distributed Collaborative Network.

Concerns have been growing about the veracity of psychological research. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions, or attempt to replicate prior research, in large, diverse samples. The PSA's mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time-limited), efficient (in terms of re-using structures and principles for different projects), decentralized, diverse (in terms of participants and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside of the network). The PSA and other approaches to crowdsourced psychological science will advance our understanding of mental processes and behaviors by enabling rigorous research and systematically examining its generalizability.