Trained Coders Research Articles

Financial toxicity of total cancer care immunotherapy patients and caregivers: impacts of COVID-19 pandemic and inflation.

Financial toxicity, cancer-treatment-related financial harm, is associated with expensive treatments like immunotherapy. The purpose of this study was to explore financial toxicity among advanced cancer patients receiving immunotherapies and their caregivers and, secondarily, to study how recent inflation and the COVID-19 pandemic impacted these experiences. Advanced cancer patients receiving immunotherapies and their caregivers were recruited to participate in semi-structured interviews about supportive care needs from 2022 to 2023. The Comprehensive Score for Financial Toxicity was collected. Guided by Jones et al.'s cancer financial toxicity model, the content analysis was conducted by two trained coders using NVIVO R1. Sixteen patients and 10 caregivers (including 7 dyads) across 5 states participated in interviews in 2022-2023. Participants averaged 63.43years (SD = 12.75), and patients received an average of 14.6months of immunotherapy (SD = 9.415). The majority lived in non-metropolitan areas (67%) and were white (95%). Three theory-driven themes were developed: (1) Sources of Financial Toxicity, (2) Buffers of Financial Toxicity, and (3) Consequences of Financial Toxicity. Inflation was added to financial toxicity for non-metropolitan dwelling participants due to increased prices of gas and accommodation. Social support systems buffered the impact of financial toxicity. Material and psychological impacts of financial toxicity disproportionately affected younger and privately insured participants. While immunotherapy patients face high medical costs of treatment, the burdens of accessing treatment for people living at a distance from the cancer center can exacerbate financial toxicity. Clinicians and researchers should also consider external financial pressures such as national economic impacts that compound the financial toxicity of treatment.

Describing youth participatory evaluation of educational interventions as a key domain of the social determinants of health: protocol for a scoping review

IntroductionYouth participatory evaluation is one model for monitoring global outcomes and assessing interventions to improve young people’s health equity and well-being while embracing principles of participation and empowerment. Little is...

The structure, development, and etiology of observed temperament during middle childhood.

Investigating the structure and etiology of temperament is key to understanding how children interact with the world (Kagan, 1994). Although these topics have yielded an abundance of research, fewer studies have employed observational data during middle childhood, when unique environmental challenges could influence temperament development. To address this gap, Israeli twin children were observed at Age 6.5 (N = 1,083, 564 families; 50.6% females) and again at Age 8-9 (N = 768, 388 families; 52.0% females; 611 children from 322 families had data from both ages). Temperament was assessed globally by trained coders and, at Age 8-9, also by the experimenter who interacted with the child. We examined whether Rothbart et al.'s (2000) three-factor model, according to which temperament includes the domains negative affect, positive affect/surgency, and effortful control, emerges from the data. In addition, we considered a bifactor model, where a fourth global factor accounts for all behaviors' commonality. Across the two ages and rating methods, confirmatory factor analyses supported the bifactor model. The global factor's loadings suggested that it reflects children's expressiveness. Adding this factor changed the associations between the other factors and enabled differentiation between surgency and positive affect. This suggests that in observational settings that capture temperament impressions holistically, children's expressiveness affects other traits' behavioral displays. Twin models revealed genetic influences for most traits. Importantly, twin models revealed shared-environmental influences for negative affect and expressiveness, which modestly contributed to temperament consistency across ages. These findings shed light on temperament traits' interrelatedness and stress the importance of the shared environment to temperament development during middle childhood. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

TEAMs go VR—validating the TEAM in a virtual reality (VR) medical team training

BackgroundInadequate collaboration in healthcare can lead to medical errors, highlighting the importance of interdisciplinary teamwork training. Virtual reality (VR) simulation-based training presents a promising, cost-effective approach. This study evaluates the effectiveness of the Team Emergency Assessment Measure (TEAM) for assessing healthcare student teams in VR environments to improve training methodologies.MethodsForty-two medical and nursing students participated in a VR-based neurological emergency scenario as part of an interprofessional team training program. Their performances were assessed using a modified TEAM tool by two trained coders. Reliability, internal consistency, and concurrent validity of the tool were evaluated using intraclass correlation coefficients (ICC) and Cronbach’s alpha.ResultsRater agreement on TEAM’s leadership, teamwork, and task management domains was high, with ICC values between 0.75 and 0.90. Leadership demonstrated strong internal consistency (Cronbach’s alpha = 0.90), while teamwork and task management showed moderate to acceptable consistency (alpha = 0.78 and 0.72, respectively). Overall, the TEAM tool exhibited high internal consistency (alpha = 0.89) and strong concurrent validity with significant correlations to global performance ratings.ConclusionThe TEAM tool proved to be a reliable and valid instrument for evaluating team dynamics in VR-based training scenarios. This study highlights VR’s potential in enhancing medical education, especially in remote or distanced learning contexts. It demonstrates a dependable approach for team performance assessment, adding value to VR-based medical training. These findings pave the way for more effective, accessible interdisciplinary team assessments, contributing significantly to the advancement of medical education.

“Racism Happens Every Day, All the Time”: Black Families’ Outpatient Experiences of Racism Across a Large Pediatric System

ObjectiveTo qualitatively understand and characterize the experience of racism in outpatient pediatric healthcare settings from the perspectives of Black families. MethodsWe conducted focus groups with parents or guardians of Black children, recruited from academic primary care offices at a single pediatric institution. Focus groups were facilitated virtually by Black team members using an open-ended, semi-structured focus group guide. We analyzed focus group transcripts using iterative, thematic, inductive open coding performed independently by trained coders, with final codes reached by group consensus. ResultsWe conducted 6 focus groups of 3 to 5 participants each and 1 individual interview, with 24 total parents. We identified the following themes: 1) “I just felt like we was a number”: Black families perceived experiences that felt impersonal and lacked empathy; 2) “Why is the doctor treating me like I don’t matter?”: Black families perceived experiences with poor care and worse treatment; 3) Black families experience racism across socioecological levels when interacting with pediatric health systems; 4) Positive perceived experiences can guide improvement; and 5) Improvement will require antiracist efforts across the levels of racism. ConclusionsIn this qualitative study, we found that Black families have had many poor pediatric experiences, perceive racism as affecting child health broadly across socioecological levels, and recommend a multidimensional antiracist approach to improvement. Our findings underscore the importance of elevating Black family voices in developing policies that prioritize antiracism and work to eliminate the harmful impacts of racism on child health.

Gender-Typical Appearance in Early Childhood: Role of Parental Gender-Typical Appearance and Children’s Gender Similarity

The emergence of gender-typical appearance in childhood appears to have important implications not only for child and adolescent social-emotional functioning but also for later working life. In the current study, we examined how parents’ gender-typical appearance and children’s gender similarity (to same- and other-gender peers) were related to young children’s gender-typical appearance. We also explored differences in these associations between boys, girls, mothers, and fathers. Home visits were conducted with 74 Dutch two-parent (mother, father) families with both a son and daughter between the ages 3–6 years (96.6% White, 2.0% Asian, 1.4% other ethnicity). The gender-typical appearance of all four family members was assessed by trained and reliable coders in the videotaped observations from the home visits. As a measure of children’s gender similarity, both parents reported on the similarity of their son and daughter to same-gender and other-gender peers. Generalized estimating equations showed that more gender-typical appearance of parents was associated with more gender-typical appearance of girls, but not of boys. No differences were found between mothers and fathers for the association between parent and child appearance. Moreover, children’s gender similarity, evident in parents’ perceived similarity of their child to peers of the same gender and dissimilarity to peers of the other gender, was associated with more gender-typical appearance in children. To conclude, both children’s gender similarity and parents’ gender-typical appearance appear to play a role in the gender-typical appearance of young children.

Algorithmic Content Recommendations on a Video-Sharing Platform Used by Children

Free video-sharing platforms (VSPs) make up a high proportion of children's daily screen use. Many VSPs make algorithmic recommendations, appearing as thumbnail images from the video, which content creators use to advertise their video content. To explore how VSP thumbnails use attention-capture designs to encourage engagement with content and to test whether VSP algorithmic recommendations offer more problematic thumbnail features over time. In this cross-sectional study conducted in January 2022, researchers mimicked the search behavior of children on a popular VSP by randomly clicking on recommended videos in order to test whether thumbnail designs changed over 20 sequential video engagements. A digital, footprint-free data collection setting was created by using a new computer and wireless internet router. Data were collected from YouTube via an internet browser not logged into a user account. Data analysis occurred from April to December 2022. Manual searches using 12 top-searched terms popular with school-aged children were conducted. Researchers captured the video thumbnails recommended at the end of each video and randomly clicked subsequent videos for 20 sequential engagements. Thumbnail content codes were developed through iterative review of screenshots by a multidisciplinary research team and applied by trained coders (reliability, κ >.70). The prevalence of problematic thumbnail content and change in prevalence over 20 engagements was calculated using the Cochran-Armitage trend test. A total of 2880 video thumbnails were analyzed and 6 features were coded, including visual loudness; drama and intrigue; lavish excess and wish fulfillment; creepy, bizarre, and disturbing; violence, peril, and pranks; and gender stereotypes. A high proportion contained problematic features including the creepy, bizarre, and disturbing feature (1283 thumbnails [44.6%]), violence, peril, and pranks feature (1170 thumbnails [40.6%]), and gender stereotypes feature (525 thumbnails [18.2%]). Other features included attention-capture designs such as the visual loudness feature (2278 thumbnails [79.1%]), drama and intrigue feature (2636 thumbnails [91.5%]) and lavish excess and wish fulfillment feature (1286 thumbnails [44.7%]). Contrary to the hypotheses, problematic feature prevalence did not increase over time, but the gender stereotypes feature increased with more engagement in the recommendations feed (P for trend < .001). In this study of video recommendations for search terms popular with children, thumbnails contained problematic and attention-capturing designs including violent, stereotyped, and frightening themes. Research is needed to understand how children respond to thumbnail designs and whether such designs influence the quality of content children consume.

Positive affect expression during a play interaction and psychological health among older adults living with cognitive impairment and their adult children

Objectives We examined the extent to which positive affect expression in play interactions between adult children and their parents living with cognitive impairment was associated with lower depressive symptoms and mental health difficulties for both dyad members. Gender differences in positive affect expression were also examined. Method Dyads (N = 126) self-reported their depressive symptoms and mental health difficulties. Dyad members later engaged in a video-recorded play interaction together, and their positive affect expression was observationally coded by trained coders in terms of ‘enjoyment’, ‘laughter’, and ‘positive affect towards partner’. Results Findings from mixed models using the Actor Partner Interdependence Model showed that one’s partner’s positive affect was associated with one’s own lower depressive symptoms. There were no significant actor effects or effects of role (parent vs. child). Results also revealed that women expressed more positive affect and had greater mental health difficulties, but not depressive symptoms. We found that one’s partner’s positive affect expressions were more associated with women’s mental health than men’s mental health. Conclusion Positive affect expression may be a useful indicator of psychological health in parent-child relationships in which the parent has cognitive impairment. Positive affect may be useful to target in supportive, dyadic, psychosocial interventions.

Advanced parental cancer and adolescents: Parenting issues and challenges.

An estimated 609,820 child-rearing adults in 2023 died from advanced cancer, affecting 153,675 dependent children. Although children are known to suffer significant distress when a parent is diagnosed with cancer, few studies have described parents' views of their adolescent's behavioral response to their advanced cancer or what the parent did to interpret or manage that response. To describe patient-reported concerns about their adolescent and how they responded to their adolescent's behavior. Single occasion interviews were administered to 6 adolescent-rearing parents with Stage IV cancer. Interviews were analyzed using inductive content analysis by trained coders. Trustworthiness of results was protected through peer debriefing, coding to consensus, and maintaining an audit trail. The core construct that explained study data was Being There without Taking Over, comprised of 4 domains: Struggling to Read My Child, Attempting to Talk with My Child about My Cancer, Trying to Maintain Optimism, and Understanding My Child. Parents were deeply concerned about the impact of their advanced cancer on their adolescent but were unable to distinguish between cancer-related distress and adolescent angst. They feared initiating cancer-related discussions and struggled with their own feelings of guilt and parental inadequacy but did not turn to professionals for help. Adolescent-rearing patients with advanced disease need to be triaged into services that offer a framework from which parents can interpret their child's behavior and learn ways to have adolescent-appropriate conversations about the cancer. Such services should also help parents gain skills to manage feelings of parental inadequacy and guilt. In the absence of services, parents struggle and do not know how to interpret and respond to their adolescent's cancer-related behavior.

Electronic Media Use and Sleep Quality: Updated Systematic Review and Meta-Analysis.

This paper explores the widely discussed relationship between electronic media use and sleep quality, indicating negative effects due to various factors. However, existing meta-analyses on the topic have some limitations. The study aims to analyze and compare the impacts of different digital media types, such as smartphones, online games, and social media, on sleep quality. Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study performed a systematic meta-analysis of literature across multiple databases, including Web of Science, MEDLINE, PsycINFO, PubMed, Science Direct, Scopus, and Google Scholar, from January 2018 to October 2023. Two trained coders coded the study characteristics independently. The effect sizes were calculated using the correlation coefficient as a standardized measure of the relationship between electronic media use and sleep quality across studies. The Comprehensive Meta-Analysis software (version 3.0) was used to perform the meta-analysis. Statistical methods such as funnel plots were used to assess the presence of asymmetry and a p-curve test to test the p-hacking problem, which can indicate publication bias. Following a thorough screening process, the study involved 55 papers (56 items) with 41,716 participants from over 20 countries, classifying electronic media use into "general use" and "problematic use." The meta-analysis revealed that electronic media use was significantly linked with decreased sleep quality and increased sleep problems with varying effect sizes across subgroups. A significant cultural difference was also observed in these effects. General use was associated with a significant decrease in sleep quality (P<.001). The pooled effect size was 0.28 (95% CI 0.21-0.35; k=20). Problematic use was associated with a significant increase in sleep problems (P≤.001). The pooled effect size was 0.33 (95% CI 0.28-0.38; k=36). The subgroup analysis indicated that the effect of general smartphone use and sleep problems was r=0.33 (95% CI 0.27-0.40), which was the highest among the general group. The effect of problematic internet use and sleep problems was r=0.51 (95% CI 0.43-0.59), which was the highest among the problematic groups. There were significant differences among these subgroups (general: Qbetween=14.46, P=.001; problematic: Qbetween=27.37, P<.001). The results of the meta-regression analysis using age, gender, and culture as moderators indicated that only cultural difference in the relationship between Eastern and Western culture was significant (Qbetween=6.69; P=.01). All funnel plots and p-curve analyses showed no evidence of publication and selection bias. Despite some variability, the study overall confirms the correlation between increased electronic media use and poorer sleep outcomes, which is notably more significant in Eastern cultures.

A systematic evaluation of text mining methods for short texts: Mapping individuals’ internal states from online posts

Short texts generated by individuals in online environments can provide social and behavioral scientists with rich insights into these individuals’ internal states. Trained manual coders can reliably interpret expressions of such internal states in text. However, manual coding imposes restrictions on the number of texts that can be analyzed, limiting our ability to extract insights from large-scale textual data. We evaluate the performance of several automatic text analysis methods in approximating trained human coders’ evaluations across four coding tasks encompassing expressions of motives, norms, emotions, and stances. Our findings suggest that commonly used dictionaries, although performing well in identifying infrequent categories, generate false positives too frequently compared to other methods. We show that large language models trained on manually coded data yield the highest performance across all case studies. However, there are also instances where simpler methods show almost equal performance. Additionally, we evaluate the effectiveness of cutting-edge generative language models like GPT-4 in coding texts for internal states with the help of short instructions (so-called zero-shot classification). While promising, these models fall short of the performance of models trained on manually analyzed data. We discuss the strengths and weaknesses of various models and explore the trade-offs between model complexity and performance in different applications. Our work informs social and behavioral scientists of the challenges associated with text mining of large textual datasets, while providing best-practice recommendations.

The Evidence Project: Protocol for Systematic Reviews of Behavioral Interventions and Behavioral Aspects of Biomedical Interventions for HIV Prevention, Treatment, and Health Service Delivery in Low- and Middle-Income Countries.

The Evidence Project conducts systematic reviews and meta-analyses of HIV behavioral interventions, behavioral aspects of biomedical interventions, combination prevention strategies, modes of service delivery, and integrated programs in low- and middle-income countries. Here, we present the overall protocol for our reviews. For each topic, we conduct a comprehensive search of five online databases, complemented by secondary reference searching. Articles are included if they are published in peer-reviewed journals and present pre/post or multi-arm data on outcomes of interest. Data are extracted from each included article by two trained coders working independently using standardized coding forms, with differences resolved by consensus. Risk of bias is assessed with the Evidence Project tool. Data are synthesized descriptively, and meta-analysis is conducted when there are similarly measured outcomes across studies. For over 20 years, this approach has allowed us to synthesize literature on the effectiveness of interventions and contribute to the global HIV response.

Lessons in Developing a Behavioral Coding Protocol to Analyze In-the-Wild Child–Robot Interaction Events and Experiments

Behavioral analyses of in-the-wild HRI studies generally rely on interviews or visual information from videos. This can be very limiting in settings where video recordings are not allowed or limited. We designed and tested a vocalization-based protocol to analyze in-the-wild child–robot interactions based upon a behavioral coding scheme utilized in wildlife biology, specifically in studies of wild dolphin populations. The audio of a video or audio recording is converted into a transcript, which is then analyzed using a behavioral coding protocol consisting of 5–6 categories (one indicating non-robot-related behavior, and 4–5 categories of robot-related behavior). Refining the code categories and training coders resulted in increased agreement between coders, but only to a level of moderate reliability, leading to our recommendation that it be used with three coders to assess where there is majority consensus, and thereby correct for subjectivity. We discuss lessons learned in the design and implementation of this protocol and the potential for future child–robot experiments analyzed through vocalization behavior. We also perform a few observational behavior analyses from vocalizations alone to demonstrate the potential of this field.

“I’m Doing the Best that I Can”: Mothers Lived Experience with Food Insecurity, Coping Strategies, and Mental Health Implications

BackgroundFood insecurity can have lasting physical and mental health consequences. The experience of food insecurity within a household may disproportionately impact mothers because they tend to manage the household food environment. ObjectiveThis study sought to understand the stresses faced by United States mothers experiencing food insecurity, related coping mechanisms, and the impacts of these stressors on their mental health. MethodsSemistructured interviews were conducted in May and June 2022 with a purposive sample of Virginia mothers who reported experiences of food insecurity. Participants were recruited from a related survey and university and community LISTSERVs. Interviews were transcribed and analyzed by trained coders. A thematic analysis was conducted to describe themes that emerged from the data. Virtual interviews were 20–60 min in duration. Mothers with children living in their household, having experienced food insecurity, and living in Virginia were eligible. ResultsThe following 3 themes emerged from the interviews with the mothers (n = 15): 1) food insecurity added stress to mothers’ lives in multiple ways (e.g. worry about obtaining the “right” foods and internalized or experienced stigma), 2) mothers used positive and negative coping strategies to address the impacts of these stressors (e.g. use of community resources and reduced personal food intake), and 3) the stressors and coping strategies had varying impacts on mothers’ mental health (e.g. added to existing mental health challenges or reduced their mental capacity to make changes). ConclusionsStudy findings suggest that a multilevel and tailored approach to address diverse stressors is warranted. Future research should explore emotional coping strategies that comprehensively empower mothers to manage stressors, leverage resources, and reduce social stigma associated with food insecurity and accessing nutrition and mental health assistance. This may improve their household food security and mitigate the burden of stressors on their mental health because system-level solutions to food insecurity are pursued.

Parent empathy and adolescent disclosure in the context of type 1 diabetes management

Adolescent disclosure to parents is a key aspect of positive parent-adolescent relationships and youth adjustment. We leveraged a study of diverse families with an adolescent with type 1 diabetes to examine how observed parental empathy during parent-adolescent conflict discussions about diabetes management was associated with observed adolescent disclosure and adolescent self-reported disclosure to parents. Adolescents with type 1 diabetes and the parent most involved in their diabetes care ( N = 67 dyads) participated in the study. Parent empathy, adolescent disclosure, and parent positive affect during parent-adolescent conversations were rated by trained coders. Parents reported on their own empathy and adolescents reported on their own disclosure, parental knowledge of their diabetes management, and parental acceptance. Results indicated that observed parental empathy was associated with both observed and self-reported disclosure. This association remained after covarying other parent-adolescent relationship and parent dispositional, demographic, and diabetes variables. This study holds implications for promoting greater parental communication of empathy to encourage adolescent disclosure in the context of chronic illness management.

E-cigarettes on Instagram: Exploring vape content via an Australian vaping influencer.

Mounting evidence suggests that electronic cigarettes (e-cigarettes) are extensively promoted and marketed using social media, including through user-generated content and social media influencers. This study explores how e-cigarettes are being promoted on Instagram, using a case-study approach, and the extent to which Meta's Restricted Goods and Services Policy (Meta's policy) is being applied and enforced. We identified the accounts followed by an Australian Instagram influencer who primarily posts e-cigarette-related content. The main foci of these 855 accounts were coded and 369 vaping-focused accounts were identified. These vaping-focused accounts were then further coded by two trained coders. All (n=369; 100.0%) of the vape content posted by these accounts was positive in sentiment. One-third of the vape accounts (n=127; 34.4%) had a shared focus, indicating that vape content may permeate into other online communities through shared interests. A total of 64 accounts (17.3%) potentially violated Meta's policy by attempting to purchase, sell, raffle or gift e-cigarette products. The findings of this study suggest that pro-vaping information is available and accessible on Instagram. Much of the content identified in this study promoted the purchase or gifting of e-cigarette products and potentially violates Meta's policy. Greater regulation and/or stronger enforcement of e-cigarette content on social media platforms such as Instagram is necessary to prevent the ongoing promotion of these harmful products.

Recent trends in corpus design and reporting: A methodological synthesis

Methodological design is a central issue for researchers in corpus linguistics. To understand trends in the reporting of important aspects of corpus design and the type of corpora being used in corpus linguistics research articles better, this study analyzes 709 descriptions of corpora from research published in corpus journals between 2010–2019. Each article was manually coded by two trained coders for aspects of corpus design, such as the population definition, sampling method, and sample size. Additionally, the study identifies missing information in corpus reporting. Our results show trends in corpus design, such as an increased use of spoken corpora. We also observe the existence of some robust sampling methodology and slight improvements in reporting practices over time. Overall, there is great diversity in the types of corpora that are observed in the corpus data, such as size. However, our results also show widespread underreporting of generally important corpus design choices and features, such as sampling methods or the number of texts in in even newly constructed corpora. Resultantly, suggestions for ways to improve reporting practices for empirical corpus linguistics studies are provided for authors, reviewers, and editors.

A study on initial productivity trend in the transition of the ICD-10 to ICD-11 morbidity coding in Iran

BackgroundThe International Classification of Diseases 11th revision (ICD-11) serves a wide extent of uses and provides detailed information on the range, causes, and effects of human disease and death through the reported and coded data. ObjectiveConcerning the ICD-11 classification system, the present study was conducted to implement the ICD-11 and evaluate coding productivity in medical coders following a 1-month training program. MethodsAn observational study was conducted in two general hospitals. During the four months from August to November, twelve trained coders coded 1,909 inpatient records. The timing of medical record reading and diagnostic coding with ICD-10 and ICD-11 was documented separately in minutes as a self-report. The trend of coding productivity changes was analyzed to evaluate productivity in the first months of ICD-11 implementation. ResultsFor record this research, 1475 medical records were included. The overall productivity loss was 42.24 % in the first three months after ICD-11 use. Productivity at the end of the fourth month was slightly better than baseline ICD-10 coding. Trauma cases required more coding time as more details should be coded for post-coordination. ConclusionRegarding the comprehensive documentation of medical records and the completeness of the details needed for coding with ICD-11 along with the instruction of the principles of ICD-11 coding rules and convention, the time required for coding can be significantly reduced when transitioning to the ICD-11 coding system. It can be hoped that after the four months of training and mentoring the coders, the coding speed will return to the baseline.

Diversity, equity, and inclusivity in observational ambulatory assessment: Recommendations from two decades of Electronically Activated Recorder (EAR) research.

Ambient audio sampling methods such as the Electronically Activated Recorder (EAR) have become increasingly prominent in clinical and social sciences research. These methods record snippets of naturalistically assessed audio from participants' daily lives, enabling novel observational research about the daily social interactions, identities, environments, behaviors, and speech of populations of interest. In practice, these scientific opportunities are equaled by methodological challenges: researchers' own cultural backgrounds and identities can easily and unknowingly permeate the collection, coding, analysis, and interpretation of social data from daily life. Ambient audio sampling poses unique and significant challenges to cultural humility, diversity, equity, and inclusivity (DEI) in scientific research that require systematized attention. Motivated by this observation, an international consortium of 21 researchers who have used ambient audio sampling methodologies created a workgroup with the aim of improving upon existing published guidelines. We pooled formally and informally documented challenges pertaining to DEI in ambient audio sampling from our collective experience on 40+ studies (most of which used the EAR app) in clinical and healthy populations ranging from children to older adults. This article presents our resultant recommendations and argues for the incorporation of community-engaged research methods in observational ambulatory assessment designs looking forward. We provide concrete recommendations across each stage typical of an ambient audio sampling study (recruiting and enrolling participants, developing coding systems, training coders, handling multi-linguistic participants, data analysis and interpretation, and dissemination of results) as well as guiding questions that can be used to adapt these recommendations to project-specific constraints and needs.

Who makes a more consistent first impression? Examining the structure and correlates of dissensus.

How do targets shape consensus in impression formation? Targets are known to play an outsized role in the accuracy of first impressions, but their influence on consensus has been difficult to study. With the help of the recently developed extended Social Relations Model, we explore the structure and correlates of individual differences in consensus (i.e., dissensus). Across 3 studies, 187 photographs of targets were rated by 960 perceivers on personality and evaluative traits, as well as being coded for physical cues by trained coders. We explored the within-target consistency of consensus across traits, as well as its relationship to four categories of theoretically relevant correlates: expressiveness, normativity, positivity, and social categories. The tendency to make a consistent impression on others was broadly consistent across traits. High-consensus targets tended to be more expressive, had more normative physical cues, and were viewed more positively. At least in a first impression context, targets may play a unique role in predicting the consensus of personality judgments by providing perceivers with more information to work with, and making a negative impression on others may carry social costs.