A categorization of behaviors reported in experience sampling studies

Experience sampling is considered one of the best methods for measuring behavior (Furr, 2009, https://doi.org/10.1002/per.724). When used for this purpose, it requires a coding system to transform diversified reports on what people are doing, provided as responses to an open-ended question, into interpretable data. We present a categorization of everyday behaviors that can be used to code responses from experience sampling and diary studies conducted with different groups of participants—from adolescents to elderly people. This categorization was developed and validated on a set of 19,840 responses to an open-ended question about participants’ recent activity, provided by 667 persons ranging in age from 12 to 66. As a result of the multistage work, we present a categorization system which forms a hierarchy from three broad categories to 97 narrow ones through middle levels of five, 23, and 63 categories of behaviors. The possible usage of the developed categorization is discussed

Behavioral Signatures of Values in Everyday Behavior in Retrospective and Real-Time Self-Reports

We identified behavioral signatures of the values distinguished in the Schwartz et al. refined value theory (2012). We examined behavioral signatures for two types of values, value states and value traits. We conducted two studies using innovative approaches. Study 1 used retrospective self-reports whereas Study 2 used self-reports in real time. In Study 1 (N = 703), we sought act frequency signatures of the 19 basic value traits that the Portrait Value Questionnaire-Revised (Schwartz, 2017) measures. We examined the frequency of 209 acts from the Oregon Avocational Interest Scales (Goldberg, 2010) for which there were no expectations that values would necessarily influence them. We computed partial correlations between each behavioral act and each value. We discuss the theoretical links to each value of the 10 behavioral acts that correlated most highly with it. Study 2 analyzed 9,416 behavioral acts of 374 participants. We measured value expressions in current behavior, i.e., value states, using experience sampling methodology (ESM). We asked participants 7 times per day for 7 days what they had been doing during the past 15 min and how important 9 different values from the Schwartz's refined value theory were to them during that activity. Because the questions about activities were open-ended, the set of behavioral acts analyzed in Study 2 was theoretically unlimited. To find signatures of values in behavior, we identified the activities during which participants reported the highest level of importance for each value. Both studies revealed meaningful associations between values and daily behavior

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

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

[Corrections added on 5 July 2023 after first online publication: The authorship footnote has been modified on page 1 and the duplicate phrase “experience sampling” has been removed on page 2.]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.Deutsche Forschungsgemeinschaft.https://wileyonlinelibrary.com/journal/spc3am2024PsychologySDG-03:Good heatlh and well-bein

Explaining everyday behaviours and situational context by personality metatraits and higher‐order values

In the current study, we looked for the relations between broad personality dimensions (metatraits of personality and higher‐order values) and everyday behaviours. We asked participants (N = 374; aged 17 to 53, Mage = 23.72) about their current behaviour, followed by questions on situational context (company and perceived autonomy) seven times per day for seven consecutive days, using an experience sampling mobile app. This method allowed us to capture a wide range of descriptions of behavioural acts (n = 13 873), which were then empirically categorized. Personality metatraits distinguished within the Circumplex of Personality Metatraits (i.e. Stability vs. Disinhibition, Plasticity vs. Passiveness, Integration vs. Disharmony, and Self‐Restraint vs. Sensation‐Seeking) and values from the refined model of Schwartz et al. (Openness to Change vs. Conservation and Self‐Transcendence vs. Self‐Enhancement) were measured by self‐descriptive questionnaires. Multilevel logistic regressions with multiple predictors, including traits and values simultaneously, revealed significant effects or tendencies for 20 of the 35 categories of activities, five kinds of company, and perceived autonomy. The best predictors of activities and situational context were the higher‐order values Openness to Change vs. Conservation

A categorization of behaviors reported in experience sampling studies

In this project we store the data used for preparation of the following manuscript: Skimina, E., Karaś, D., Topolewska-Siedzik, E., Kłym-Guba, M., Ponikiewska, K., Rogoza, R., Davidov, E., & Cieciuch, J. (2020). A categorization of behaviors reported in experience sampling studies. Social Psychological Bulletin

How many and what mechanisms are needed to explain self-regulatory functions in personality dynamics: Toward a model based on the Circumplex of Personality Metatraits

We propose a model of basic self-regulatory mechanisms that integrates descriptive-structural and dynamic-explanatory approaches to personality. Using a structural way of thinking and based on a structural model of personality (the Circumplex of Personality Metatraits), we deduced two orthogonal (distinct) but interactive mechanisms: (a) Impulse Control responsible for controlling automatically activated impulses, urges, and affective reactions and (b) Self-Motivation responsible for regulating intentions in goal-oriented behaviors. Their operation depends on both situational and dispositional factors and optimal functioning of both mechanisms is needed for effective regulation of behavior. People can also be characterized by relatively stable levels of Impulse Control and Self-Motivation as dispositions, which depend on temperamental predispositions but can develop incoherently with them due to the impact of environmental factors. Combinations of Impulse Control and Self-Motivation as dispositions result in personality types, which differ in their adaptiveness. Importantly, Impulse Control and Self-Motivation mechanisms reveal substantial similarities to other self-regulatory constructs described in the literature, particularly those included in Block and Block's as well as Kuhl's theories. The contribution of our paper may serve as an example of how to apply the descriptive-structural approach to develop a dynamic-explanatory model of personality