Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designs.

The experience sampling method (ESM) allows for a high degree of ecological validity compared to laboratory research, at the cost of greater effort for participants. It would therefore benefit from implementations that reduce participant effort. In the present paper, we introduce a screenless wrist-worn one-button wearable as an unobtrusive measurement method that can be employed in ESM designs. We developed an open-source Android application to make this commercially available wearable easily configurable and usable. Over the course of six pilot studies, we explored the technical viability (e.g., battery life, reliability of inputs) of this wearable. We compared data quality between wearables and smartphones in a within-subjects design, exploring both the input options of using the number of button presses as a Likert scale, as well as using the angle of the device as a Physical Analogue Scale. Assessments of Extraversion made with either of these methods were highly correlated to comparable assessments made with comparable methods on a smartphone (i.e., Likert scale or a Visual Analogue Scale, respectively). Furthermore, in a preregistered ESM field experiment (N = 134, 4 weeks), we compared compliance to real-life event triggers between wearable devices and smartphones. We found higher numbers of logged events in the wearable group, indicating better adherence to the event-contingent scheduling. Overall, despite the device's minimal capabilities and resulting limitations, one-button wearables can be beneficial for use in ESM designs.

The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment.

Interest in the psychology of misinformation has exploded in recent years. Despite ample research, to date there is no validated framework to measure misinformation susceptibility. Therefore, we introduce Verification done, a nuanced interpretation schema and assessment tool that simultaneously considers Veracity discernment, and its distinct, measurable abilities (real/fake news detection), and biases (distrust/naïvité-negative/positive judgment bias). We then conduct three studies with seven independent samples (Ntotal = 8504) to show how to develop, validate, and apply the Misinformation Susceptibility Test (MIST). In Study 1 (N = 409) we use a neural network language model to generate items, and use three psychometric methods-factor analysis, item response theory, and exploratory graph analysis-to create the MIST-20 (20 items; completion time < 2 minutes), the MIST-16 (16 items; < 2 minutes), and the MIST-8 (8 items; < 1 minute). In Study 2 (N = 7674) we confirm the internal and predictive validity of the MIST in five national quota samples (US, UK), across 2 years, from three different sampling platforms-Respondi, CloudResearch, and Prolific. We also explore the MIST's nomological net and generate age-, region-, and country-specific norm tables. In Study 3 (N = 421) we demonstrate how the MIST-in conjunction with Verification done-can provide novel insights on existing psychological interventions, thereby advancing theory development. Finally, we outline the versatile implementations of the MIST as a screening tool, covariate, and intervention evaluation framework. As all methods are transparently reported and detailed, this work will allow other researchers to create similar scales or adapt them for any population of interest.

ESMira: A decentralized open-source application for collecting experience sampling data.

This paper introduces ESMira, a server and mobile app (Android, iOS) developed for research projects using experience sampling method (ESM) designs. ESMira offers a very simple setup process and ease of use, while being free, decentralized, and open-source (source code is available on GitHub). The ongoing development of ESMira started in early 2019, with a focus on scientific requirements (e.g., informed consent, ethical considerations), data security (e.g., encryption), and data anonymity (e.g., completely anonymous data workflow). ESMira sets itself apart from other platforms by both being free of charge and providing study administrators with full control over study data without the need for specific technological skills (e.g., programming). This means that study administrators can have ESMira running on their own webspace without needing much technical knowledge, allowing them to remain independent from any third-party service. Furthermore, ESMira offers an extensive list of features (e.g., an anonymous built-in chat to contact participants; a reward system that allows participant incentivization without breaching anonymity; live graphical feedback for participants) and can deal with complex study designs (e.g., nested time-based sampling). In this paper, we illustrate the basic structure of ESMira, explain how to set up a new server and create studies, and introduce the platform's basic functionalities.

Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution.

In situ self-reports are a useful tool in the social sciences to supplement laboratory experiments. Smartwatches are a promising form factor to realize these methods. However, to date, no user-friendly, general-purpose solution has been available. This article therefore presents a newly developed, free and open-source firmware that facilitates the Experience Sampling Method and other self-report methods on a commercially-available, programmable smartwatch based on the ESP32 microcontroller. In a small-scale pilot study comparing this smartwatch and firmware to an equivalent design on smartphones, participants using the smartwatch showed increased compliance. The presented project demonstrates a useful tool for complementary tools like smartphones for self-reports.

The impact of nature exposure on body image and happiness: an experience sampling study.

Exposure to nature is associated with improved psychological well-being and positive body image. Here, we examined whether everyday exposure to natural environments is associated with state body image outcomes (and, for comparative reasons, state happiness) using an experience sampling method. One-hundred-and-seven participants completed a 30-day experience sampling phase in which they reported their state body image (body weight, body shape, and physical appearance satisfaction), state happiness, and features of the surrounding environment (total = 6,025 responses) at three random time-points each day. Results indicated that being outdoors was associated with significantly higher state body image on all three indicators, but effect sizes were lower compared to effects on state happiness. Specific environment type was also important, with blue-spaces and wood- and grasslands, respectively, having stronger effects than other environments. These results provide evidence that everyday exposure to natural environments is associated with more positive state body image and greater happiness.

Emotional Well-Being Under Conditions of Lockdown: An Experience Sampling Study in Austria During the COVID-19 Pandemic.

The coronavirus (COVID-19) pandemic and attendant lockdown measures present serious threats to emotional well-being worldwide. Here, we examined the extent to which being outdoors (vs. indoors), the experience of loneliness, and screen-time are associated with emotional well-being during the COVID-19 pandemic using an experiencing sampling method. In April 2020, Austrian adults (N = 286, age M = 31.0 years) completed a 21-day experience sampling phase in which they reported their emotional well-being (i.e., happiness), whether they were indoors or outdoors, and loneliness at three random time-points each day, as well as their daily screen-time. Results indicated that being outdoors was associated with higher emotional well-being, whereas greater loneliness and greater daily screen-time were associated with poorer well-being. Additionally, the impact of loneliness on well-being was weaker when participants were outdoors than indoors. These results have health policy implications for the promotion of population well-being during pandemics.

Detecting affiliation in colaughter across 24 societies.

Laughter is a nonverbal vocal expression that often communicates positive affect and cooperative intent in humans. Temporally coincident laughter occurring within groups is a potentially rich cue of affiliation to overhearers. We examined listeners' judgments of affiliation based on brief, decontextualized instances of colaughter between either established friends or recently acquainted strangers. In a sample of 966 participants from 24 societies, people reliably distinguished friends from strangers with an accuracy of 53-67%. Acoustic analyses of the individual laughter segments revealed that, across cultures, listeners' judgments were consistently predicted by voicing dynamics, suggesting perceptual sensitivity to emotionally triggered spontaneous production. Colaughter affords rapid and accurate appraisals of affiliation that transcend cultural and linguistic boundaries, and may constitute a universal means of signaling cooperative relationships.

The Perception of Spontaneous and Volitional Laughter Across 21 Societies.

Laughter is a nonverbal vocalization occurring in every known culture, ubiquitous across all forms of human social interaction. Here, we examined whether listeners around the world, irrespective of their own native language and culture, can distinguish between spontaneous laughter and volitional laughter-laugh types likely generated by different vocal-production systems. Using a set of 36 recorded laughs produced by female English speakers in tests involving 884 participants from 21 societies across six regions of the world, we asked listeners to determine whether each laugh was real or fake, and listeners differentiated between the two laugh types with an accuracy of 56% to 69%. Acoustic analysis revealed that sound features associated with arousal in vocal production predicted listeners' judgments fairly uniformly across societies. These results demonstrate high consistency across cultures in laughter judgments, underscoring the potential importance of nonverbal vocal communicative phenomena in human affiliation and cooperation.

Can smartphones be used to bring computer-based tasks from the lab to the field? A mobile experience-sampling method study about the pace of life.

Researchers are increasingly using smartphones to collect scientific data. To date, most smartphone studies have collected questionnaire data or data from the built-in sensors. So far, few studies have analyzed whether smartphones can also be used to conduct computer-based tasks (CBTs). Using a mobile experience-sampling method study and a computer-based tapping task as examples (N = 246; twice a day for three weeks, 6,000+ measurements), we analyzed how well smartphones can be used to conduct a CBT. We assessed methodological aspects such as potential technologically induced problems, dropout, task noncompliance, and the accuracy of millisecond measurements. Overall, we found few problems: Dropout rate was low, and the time measurements were very accurate. Nevertheless, particularly at the beginning of the study, some participants did not comply with the task instructions, probably because they did not read the instructions before beginning the task. To summarize, the results suggest that smartphones can be used to transfer CBTs from the lab to the field, and that real-world variations across device manufacturers, OS types, and CPU load conditions did not substantially distort the results.

Genetic and Environmental Sources of Implicit and Explicit Self-Esteem and Affect: Results from a Genetically Sensitive Multi-group Design.

In today's world, researchers frequently utilize indirect measures of implicit (i.e., automatic, spontaneous) evaluations. The results of several studies have supported the usefulness of these measures in predicting behavior, as compared to utilizing direct measures of explicit (i.e., purposeful, deliberate) evaluations. A current, under-debate issue concerns the origin of these implicit evaluations. The present genetically sensitive multi-group study analyzed data from 223 twin pairs and 222 biological core families to estimate possible genetic and environmental sources of individual differences in implicit and explicit self-esteem and affect. The results show that implicit self-esteem and affect maintain a substantial genetic basis, but demonstrate little influence from the shared environment by siblings (e.g., shared familial socialization in childhood). A bivariate analysis found that implicit and explicit evaluations of the same construct share a common genetic core which aligns with the motivation and opportunity as determinants (MODE) model.

Simple construct evaluation with latent class analysis: An investigation of Facebook addiction and the development of a short form of the Facebook Addiction Test (F-AT).

In psychological research, there is a growing interest in using latent class analysis (LCA) for the investigation of quantitative constructs. The aim of this study is to illustrate how LCA can be applied to gain insights on a construct and to select items during test development. We show the added benefits of LCA beyond factor-analytic methods, namely being able (1) to describe groups of participants that differ in their response patterns, (2) to determine appropriate cutoff values, (3) to evaluate items, and (4) to evaluate the relative importance of correlated factors. As an example, we investigated the construct of Facebook addiction using the Facebook Addiction Test (F-AT), an adapted version of the Internet Addiction Test (I-AT). Applying LCA facilitates the development of new tests and short forms of established tests. We present a short form of the F-AT based on the LCA results and validate the LCA approach and the short F-AT with several external criteria, such as chatting, reading newsfeeds, and posting status updates. Finally, we discuss the benefits of LCA for evaluating quantitative constructs in psychological research.

A Cross-Cultural Investigation of Suicidal Disclosures and Attitudes in Austrian and Turkish University Students.

The prevalence of suicidal behavior and the nature of attitudes toward suicide differ in Austria and Turkey. To see if there were differences in disclosure, 351 Turkish and 310 Austrian students answered questions about disclosing suicidal thoughts. More Austrian than Turkish students reported suicidal ideation and believed that suicidal people disclose their plans, but suicidal disclosures were equally common in the two groups. Compared to Austria, suicidal disclosures in Turkey met with more positive social reactions that may facilitate a successful social support process. These findings imply that prevention efforts should reduce the stigma around suicidal disclosures.

Lateral preferences for hand clasping and arm folding are associated with handedness in two large-sample latent variable analyses.

Hand clasping (HC) and arm folding (AF) are bilateral limb postures which are subject to lateral preferences. Previous research suggested that left HC and left AF are "canonical" among European populations, i.e., generally preferred by right-handers. However, evidence on the associations of handedness with HC and AF to date is sparse and inconsistent, with studies mostly relying on relatively small sample sizes and arbitrary classifications of handedness. Utilizing latent class analysis for handedness classification, we present data from two large and independent middle-European samples, a discovery (n = 7,658) and replication (n = 5,062) sample. Our results indicate that right HC, not left HC, is overall preferred and that right-handedness is associated with right HC/left AF, and left- and mixed-handedness with left HC/right AF. Moreover, lateral preferences increased with age, and men had a higher preference of right HC, independent of handedness. We discuss our findings with regard to the generalizability of previous results.

Measuring implicit gender-role orientation: the gender initial preference task.

Individuals prefer their name letters over nonname letters, which is known as the name-letter effect (NLE). This research aimed to examine a possible NLE for gender-role orientation (GRO) by rating letters for their gender-typicality in an initial preference task (Gender-IPT). Indeed, a clear NLE appeared: Men rated their initials as more male-typical, whereas women rated them as more female-typical. The Gender-IPT showed good convergent validity with other direct and indirect (Gender Implicit Association Test) measures of GRO as well as predictive validity with sensation seeking and gender-typical everyday life behaviors. The Gender-IPT seems to be a useful and practical indirect measure to assess GRO in a short, convenient, and computer-independent way, complementing other indirect measures of GRO.

Laughter in everyday life: an event-based experience sampling method study using wrist-worn wearables.

Laughter is a universal, nonverbal vocal expression of broad significance for humans. Interestingly, rather little is known about how often we laugh and how laughter is associated with our personality. In a large, event-based, experience sampling method study (N = 52; k = 9,261 assessments) using wrist-worn wearables and a physical analogue scale, we analyzed belly laughs and fit of laughter events in participants' everyday life for 4 weeks. Additionally, we assessed associations with laughter frequency such as personality, happiness, life satisfaction, gelotophobia (i.e., fear of being laughed at), and cheerfulness. Validating our new measurement approach (i.e., wearables, physical analogue scale), laughter events elicited higher happiness ratings compared to reference assessments, as expected. On average, participants reported 2.5 belly laughs per day and on every fourth day a fit of laughter. As expected, participants who were happier and more satisfied with their life laughed more frequently than unhappier, unsatisfied participants. Women and younger participants laughed significantly more than men and older participants. Regarding personality, laughter frequency was positively associated with openness and conscientiousness. No significant association was found for gelotophobia, and results for cheerfulness and related concepts were mixed. By using state-of-the-art statistical methods (i.e., recurrent event regression) for the event-based, multi-level data on laughter, we could replicate past results on laughing.

Body image and personality: associations between the Big Five Personality Factors, actual-ideal weight discrepancy, and body appreciation.

Studies have suggested associations between personality dimensions and body image constructs, but these have not been conclusively established. In two studies, we examined direct associations between the Big Five dimensions and two body image constructs, actual-ideal weight discrepancy and body appreciation. In Study 1, 950 women completed measures of both body image constructs and a brief measure of the Big Five dimensions. In Study 2,339 women completed measures of the body image constructs and a more reliable measure of the Big Five. Both studies showed that Neuroticism was significantly associated with actual-ideal weight discrepancy (positively) and body appreciation (negatively) once the effects of body mass index and social status had been accounted for. These results are consistent with the suggestion that Neuroticism is a trait of public health significance requiring attention by body image scholars.

Blame it on patriarchy: more sexist attitudes are associated with stronger consideration of cosmetic surgery for oneself and one's partner.

In the present work, we examined associations between oppressive, sexist beliefs and consideration of cosmetic surgery for oneself and also endorsement of cosmetic surgery for one's romantic partner. A total of 554 German-speaking volunteers from the community, mainly in Austria, completed measures of consideration of cosmetic surgery and three measures of sexist attitudes, while a subset of participants in romantic relationships completed a measure of endorsement of cosmetic surgery for their partners along with the measures of sexism. Preliminary analyses showed that women and single respondents were more likely to consider having cosmetic surgery than men and committed respondents, respectively. Further analyses showed that consideration of cosmetic surgery for oneself was significantly associated with sexist attitudes, particularly hostile attitudes to women. In addition, among participants in a relationship, sexist attitudes were associated with endorsement of cosmetic surgery for one's partner. These results indicate that attitudes to cosmetic surgery for oneself and one's partner are shaped by gender-ideological belief systems in patriarchal societies. Possible implications for understanding the motivations for having cosmetic surgery, among both single respondents and couples, are discussed.

ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes.

The inescapable fact that human life is perpetually embedded in a tangible biogeophysical environment - and the consequences that this has for individuals and societies - have long fascinated scholars of all backgrounds. Technological progress and the advent of big data have spurred ever-more precise attempts to quantify our biogeophysical environments. However, many such datasets lack spatial granularity, global coverage, content depth, or accessibility. Here, we introduce ecolo-zip, a novel geospatial dataset that provides a granular-yet-global, parsimonious-yet-rich ecological characterization of over 1.5 million postal codes across 94 countries and regions. Combining two large-scale satellite image resources (ASTER; SRTM, ICC = 0.999) and a customized geospatial sampling model, we provide high-resolution indicators of physical topography (elevation, mountainousness, distance to sea), vegetation (normalized difference vegetation index), and climate (surface temperature). With this resource - featuring methodological details, visualizations, and application suggestions - we hope to contribute towards understanding the multi-faceted interactions between humans and their environments.

Examining terror management theory in Ukraine: impact of air-raid alarms and explosions on mental health, somatic symptoms, and well-being.

Objective: This study sought to evaluate Terror Management Theory (TMT) assumptions about death awareness and its psychological impact in the context of a real-world war situation with high external validity. We examined if factors such as habituation to war circumstances and psychological resilience could buffer the effects on civilians' anxiety, physical and mental health, and affect. Method: We implemented a pre-registered smartphone-based experience sampling method study over four weeks, with 307 participants (k = 7,824) living in war-affected areas in Ukraine whereby participants were regularly exposed to war situations, including air-raid alarms, explosions, and infrastructural problems. Results: The data indicated that war situations significantly increased anxiety, negatively impacting mental health, and raising somatic symptom severity. While habituation showed a mild buffering effect on these impacts, resilience did not. Conclusion: This real-world investigation supports TMT's fundamental assumptions about death awareness and its psychological implications. However, even amidst the presence of real, life-threatening situations, the buffering effects of habituation were surprisingly minimal. This suggests that further exploration of TMT's buffering factors in real-world scenarios is warranted.

Body appreciation around the world: Measurement invariance of the Body Appreciation Scale-2 (BAS-2) across 65 nations, 40 languages, gender identities, and age.

The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset - with data collected between 2020 and 2022 - to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research.