Psychological well-being in Europe after the outbreak of war in Ukraine

The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war. Our data show a significant decline in well-being on the day of the Russian invasion. Recovery over the following weeks was associated with an individual’s personality but was not statistically significantly associated with their age, gender, subjective social status, and political orientation. In general, well-being was lower on days when the war was more salient on social media. Our results demonstrate the need to consider the psychological implications of the Russo-Ukrainian war next to its humanitarian, economic, and ecological consequences

A global experience-sampling method study of well-being during times of crisis : The CoCo project

We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset

Psychological well-being in Europe after the outbreak of war in Ukraine

This is the OSF project for the following publication: Scharbert, J., Humberg, S., Kroencke, L., Reiter, T., Sakel, S., Horst, J. ter, Utesch, K., Gosling, S. D., Harari, G., Matz, S. C., Schoedel, R., Stachl, C., Aguilar, N. M. A., Amante, D., Aquino, S. D., Bastias, F., Bornamanesh, A., Bracegirdle, C., Campos, L. A. M., . . . Back, M. D. (2024). Psychological well-being in Europe after the outbreak of war in Ukraine. Nature Communications, 15(1), 1202. https://doi.org/10.1038/s41467-024-44693-

If You Were Happy and You Know It, Clap Your Hands! Testing the Peak-End Rule for Retrospective Judgments of Well-Being in Everyday Life

This is the OSF project for the following publication: Scharbert, J., Utesch, K., Reiter, T. F., ter Horst, J., van Zalk, M., Back, M. D., & Rau, R. (in press). If you were happy and you know it, clap your hands! Testing the peak-end rule for retrospective judgments of well-being in everyday life. European Journal of Personality. Retrieved from https://osf.io/preprints/psyarxiv/njmc

Narcissists’ affective well-being: Associations of grandiose narcissism with state affect level and variability

This is the OSF project for the following publication: Scharbert, J., Dein, L. M., Kroencke, L., Nestler, S., Back, M. D., & Utesch, K. (in press). Narcissists’ affective well-being: Associations of grandiose narcissism with state affect level and variability. Journal of Personality and Social Psychology. Retrieved from https://osf.io/preprints/psyarxiv/y2tv

Coping with Corona (CoCo)

Coping with Corona (CoCo): Understanding individual differences in well-being during the COVID-19 pandemic The COVID-19 pandemic not only poses major threats to people’s physical health but also to their well-being. To manage the pandemic, governments around the world have mandated policies that restrict people’s activities and limit social contact with others. Importantly, individuals differ in how they cope with these social challenges psychologically. The Coping with Corona (CoCo) Project aims to predict (build up theoretically derived and data-driven prediction models) and understand (unpack mediating situation selection, interpersonal perception, and emotional co-regulation processes) individual differences in well-being during the pandemic. These goals will be pursued by a comprehensive mega-analysis of existing data and large-scale international smartphone-based assessments (including experience sampling of everyday feelings and thoughts, mobile sensing of everyday social behaviors and contexts, and personalized feedback). The CoCo team integrates interdisciplinary expertise of leading researchers in the fields of personality, relationship, developmental, network, and behavioral data science. This project will generate insights of empirical, theoretical and practical importance. Specifically, results provide a rich description of how different people cope with pandemics, and novel insights on person-environment transactions that explain these differences. This will constitute a sorely needed step towards the large-scale availability of personalized tools to foster psychological resilience in individuals, groups, and societies in the wake of pandemics

A global experience-sampling method study of well-being during times of crisis: the CoCo project

We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset.</p

A global experience‐sampling method study of well‐being during times of crisis: The CoCo project

We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset

A global experience‐sampling method study of well‐being during times of crisis: The CoCo project

Abstract We present a global experience‐sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well‐being during times of crisis such as the COVID‐19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait‐, state‐, and daily‐level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset.info:eu-repo/semantics/publishe