Group Members Research Articles

Relationships and determinants of adoption of sustainable land management technologies in Eastern and Southern Highlands of Ethiopia

Degraded land is a major danger to agricultural productivity and food security in Ethiopia. Sustainable land management technologies (SLMTs), through targeted interventions, have been applied to address this problem. Notwithstanding some of the known agricultural and environmental benefits connected with the adoption of some SLMTs, the adoption rate remains below expectations. Therefore, this study aims to analyze the relationships and determinants of the adoption of SLMTs in eastern and southern Ethiopia. Data were collected from 384 sampled households selected using multi-stage sampling techniques. Descriptive statistics and multivariate probit (MVP) model were used to analyze data. Estimated results of MVP revealed that the adoption of SLMTs is positively and significantly influenced by education level, livestock, membership in a social group, extension contacts, access to SLM information, training, credit, land tenure, and slope, while age, farm distance, and the number of active family members due to youth migration abroad had negative effects. The widely adopted SLMTs on farmlands were inorganic fertilizer (49.5%), soil bunds (48.4%), bench terraces (47.2%), intercropping (46.1%), and manure (38%). This study concluded that farmers invested a blend of SLMTs, some of which complemented and others substituted for one another. Therefore, policy-makers and planners should focus on fortifying human and local institutions’ capacity to implement SLM and consider SLM technology interdependencies before communicating with farmers.

Basic Psychological Need Satisfaction as Correlates of Physical Activity Trajectories During Adolescence.

This analysis aimed to (1) identify longitudinal joint trajectories of participation in organized and unorganized physical activity contexts, and level of daily moderate-to-vigorous physical activity (MVPA) and (2) assess whether basic psychological need satisfaction during adolescence differentiates between membership in different physical activity trajectories. Participants (n = 888; 56% girls) reported their involvement in 36 different physical activities, level of MVPA, and their perceived satisfaction of competence, autonomy, and relatedness satisfaction in physical activity up to three times per year, over 8 years (from ages 10 to 17 years). Group-based multi-trajectory models were used to identify longitudinal joint trajectories of physical activity participation. We estimated a multinomial logistic regression model for membership in a physical activity trajectory by including individual-level intercepts and slopes for each psychological need obtained using mixed models over the 24 cycles modelized as natural cubic splines. Five longitudinal trajectory groups emerged: Non-participants, Dropouts, Active in unorganized physical activities, Active in organized physical activities, and Active through a variety of activities. Relative to Non-participants, we identify a dose-response relationship in baseline competence and membership in the higher active trajectory groups. In addition, a positive change in competence in early adolescence predicted membership in all three Active trajectory groups.

Medical Cannabis Dosing Trajectories of Patients: Evidence From Sales Data

Medical cannabis use is rising with limited high-quality clinical trial data to guide dosing. This study relies on real-world, longitudinal medical cannabis purchase data to provide information on Δ-9-tetrahydrocannabinol (THC) and cannabidiol (CBD) dosing trends for patients with qualifying medical conditions. A retrospective study of purchases by 16,727 patients obtaining medical cannabis from dispensaries located in New York between 2016 and 2019, recorded in point-of-sale data. Group-based trajectory modeling was used to identify clusters of patients following similar progressions in dosing of THC and CBD over time. χ2 tests were performed to identify which patient characteristics and qualifying medical conditions were associated with membership in each trajectory group. Six trajectory groups were identified that described different patterns in the THC and CBD doses that patients purchased over the whole time period. For THC, the majority of patients (62.6%) purchased a steady amount but at different levels: consistently low (4.1 mg) or moderate (7.4 mg). Three groups, representing 22.0% together, exhibited doses that either fluctuate or constantly increase over time (5-20 mg). A final group of patients (15.8%) exhibited constant decrease in dose from 11 to 5 mg. For CBD, the data show similar trajectories, but at the generally higher values (4-16 mg). Patients with chronic pain, neuropathy, and cancer were overrepresented in groups where higher doses of THC were purchased over time. Patients with epilepsy had a higher representation in groups with higher doses of CBD across time. Results suggest heterogeneous dosing patterns and trajectories in the use of medical cannabis by patients with different medical conditions.

In-between group membership within intergroup conflicts: The case of Druze in Israel.

In-between groups encompass individuals who simultaneously belong to social categories that are often seen as mutually exclusive in addition to maintaining their distinct group identity. The current paper sheds light on how members of in-between groups manage their relations within intergroup conflicts. Three studies were conducted among the Druze minority in Israel, a group that is ethnically Arab and shares the Arab identity with the Arab-Palestinian minority in Israel and simultaneously identifies as Israeli. In Study 1 (N = 300), we found that identification as Druze was positively associated with the identification as Arab and Israeli. In Study 2, we examined Druze's endorsement of conflict narratives compared to Jewish-Israeli and Palestinian citizens (N = 271). While the latter participants endorsed their ingroup narrative more than the outgroup narrative, Druze participants endorsed both narratives equally. In Study 3, we tested Druze's solidarity with the Palestinian minority against the 2018 Nation-State Law. We found that overall, Druze participants (N = 568) endorsed more inclusive amendments that benefited the Druze and Palestinians than exclusive amendments that benefited the Druze only. In all studies, we tested the role of identification with the rival groups. We discuss these findings and suggest possible underlying mechanisms.

Moral wiggle room and group favoritism among political partisans.

How does the availability of excuses for self-interested behavior impact group favoritism? We report the results of a preregistered experiment, conducted on the eve of the 2022 midterm elections, in which American political partisans made payoff distribution choices for themselves and a partner who was known to be a co-partisan or opposing partisan. Under full information, participants exhibit significant group favoritism. However, when the payoff consequences for one's partner are initially hidden, participants exploit this excuse to act selfishly regardless of who their partner is and ignorance rates are identical for in-group and out-group members. As a result, moral wiggle room has a significantly larger impact on selfish behavior for those interacting with co-partisans than opposing partisans, leading to a reduction in group favoritism.

Group-based reputational incentives can blunt sensitivity to societal harms and benefits.

People's concern with maintaining their individual reputation powerfully drives judgment and decision making. But humans also identify strongly with groups. Concerns about group-based reputation may similarly shape people's psychology, perhaps especially in contexts where shifts in group reputation can have strategic consequences. Do individuals allow their concern with their group's reputation to shape their reactions to even large-scale societal suffering versus benefits? Examining both affective responses and financially incentivized behavior of partisans in the United States, five preregistered experiments (N = 7,534) demonstrate that group-based reputational incentives can weaken-and sometimes nearly eliminate-affective differentiation between present-term societal harms and benefits. This can occur even when these societal harms and benefits are substantial-including economic devastation and national security threats-and when the consequences impact ingroup members. Individuals' sensitivity to group-based reputation can even cause them to divert resources from more effective to less effective charities. We provide evidence that partisans care about group-based reputation in part because it holds strategic value, positioning their group to improve its standing vis-a-vis the outgroup. By allowing group-based reputational incentives to reduce their sensitivity to societal outcomes, partisans may play into the other side's cynical narratives about their disregard for human suffering, damaging bridges to cooperation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Descriptive norms can "backfire" in hyper-polarized contexts.

Descriptive social norms interventions, where a behavior is promoted by learning that others engage in that behavior, are a cornerstone of behavior change research and practice. Here, we examine the effect of learning about the behavior of outgroup members in a hyper-polarized context: mask-wearing during the COVID-19 pandemic. Contrary to prior findings, we find a descriptive social norm "backfire": Across three experiments, Biden supporters increased their mask-wearing intentions after being informed that most Trump supporters never wore masks. We also provide evidence consistent with a mechanism whereby this effect was driven by changes in perceptions about how negatively ingroup members view nonmask wearing. Finally, in a fourth study, Biden supporters show the traditional descriptive norms effect (rather than a backfire) from the same treatment when in a nonpolarized context: dishonesty in a coin-flipping task. These findings help to clarify why descriptive social norm interventions promote behavior change, and underscore the importance of social norms in motivating prosocial behaviors. They also suggest an update to current best practices in the design of descriptive norm interventions: in polarized contexts, it can be beneficial to publicize antisocial behavior of outgroup members.

Filling in the blanks

Context. In the solar neighbourhood, only ∼2% of stars in the Gaia survey have a line-of-sight velocity (vlos) contained within the RVS catalogue. These limitations restrict conventional dynamical analysis, such as finding and studying substructures in the stellar halo. Aims. We aim to present and test a method to infer a probability density function (PDF) for the missing vlos of a star with 5D information within 2.5 kpc. This technique also allows us to infer the probability that a 5D star is associated with the Milky Way’s stellar Disc or the stellar Halo, which can be further decomposed into known stellar substructures. Methods. We use stars from the Gaia DR3 RVS catalogue to describe the local orbital structure in action space. The method is tested on a 6D Gaia DR3 RVS sample and a 6D Gaia sample crossmatched to ground-based spectroscopic surveys, stripped of their true vlos. The stars predicted vlos, membership probabilities, and inferred structure properties are then compared to the true 6D equivalents, allowing the method’s accuracy and limitations to be studied in detail. Results. Our predicted vlos PDFs are statistically consistent with the true vlos, with accurate uncertainties. We find that the vlos of Disc stars can be well-constrained, with a median uncertainty of 26 km s−1. Halo stars are typically less well-constrained with a median uncertainty of 72 km s−1, but those found likely to belong to Halo substructures can be better constrained. The dynamical properties of the total sample and subgroups, such as distributions of integrals of motion and velocities, are also accurately recovered. The group membership probabilities are statistically consistent with our initial labelling, allowing high-quality sets to be selected from 5D samples by choosing a trade-off between higher expected purity and decreasing expected completeness. Conclusions. We have developed a method to estimate 5D stars’ vlos and substructure membership. We have demonstrated that it is possible to find likely substructure members and statistically infer the group’s dynamical properties.

Psychological well-being and its associations with sociodemographic characteristics, physical health, substance use and other mental health outcomes among adults in Canada

Introduction Psychological well-being (PWB) is an important component of positive mental health (PMH) and an asset for population health. This study examined correlates of PWB among community-dwelling adults (18+ years) in the 10 Canadian provinces. Methods Using data from the 2019 Canadian Community Health Survey Rapid Response on PMH, we conducted linear regression analyses with sociodemographic, mental health, physical health and substance use variables as predictors of PWB. PWB was measured using six questions from the Mental Health Continuum—Short Form, which asked about feelings of self-acceptance, personal growth, environmental mastery, autonomy, positive relations and purpose in life during the past month. Results In unadjusted and adjusted analyses, older age, being married or in a commonlaw relationship and having a BMI in the overweight category (25.00–29.99) were associated with higher PWB, while reporting a mood disorder, anxiety disorder, high perceived life stress, engaging in heavy episodic drinking and frequent cannabis use were associated with lower PWB. Sex, having children living at home, immigrant status, racialized group membership, educational attainment, household income tertile, having a BMI in the obese category (≥30.00), major chronic disease and smoking status were not significantly associated with PWB. Conclusion This research identifies sociodemographic, mental health, physical health and substance use factors associated with PWB among adults in Canada. These findings highlight groups and characteristics that could be the focus of future research to promote PMH.

Have later state pensions made people less connected? The effects of older female pension ages in England on social capital

Abstract Many countries have increased their state pension ages (SPAs) to offset demographic ageing and to increase numbers of older people remaining in paid work. Most research attention has focused on the economic outcomes whereas little attention has been paid to impacts on social capital, including rates of volunteering and care-giving. Prior research suggests that these are sensitive to retirement decisions. Using nine waves of individual longitudinal data from the English Longitudinal Study of Ageing, this study examines the effects of increased SPA on volunteering, group membership and providing care. Our results show that higher SPAs have a negative impact on rates of volunteering and providing care, particularly for women in couples. Single women are not affected, and there are not significant effects on group membership and childcare provision. The more work-like aspects of social capital are affected by the increased SPA.

Unraveling the Dynamics of Rice Yield in the Zio River Valley, Togo: A thorough analysis of influencing factors

Despite Togo's rice production potential, local production only meets 32% of demand, mainly due to relatively low agricultural productivity. With the aim of improving this situation, this study was undertaken to analyze the factors influencing rice production in the Zio River Valley, which is one of Togo's largest rice-growing areas. Data collected from 413 farmers in the region were analyzed using the Cobb-Douglas production function, incorporating variables such as income, farm size, chemical fertilizer use, organic fertilizer use, pesticide use, group membership, experience, education level, gender, access to credit, access to agricultural advice, age, continuous access to water and marital status. The results indicate that only certain factors, such as farm size, income, amount of chemical fertilizer, use of organic fertilizer and experience, have a significant positive impact on paddy rice production, furthermore the No-formal education farmers show a decrease in production. This study will guide decision-makers and farmers in adopting more effective farming practices to significantly improve rice production in Togo. Emphasis should be placed on aspects such as farm size, income, fertilizer use and experience to boost rice productivity.

Code-Switching in Multilingual Communities: A Sociolinguistic Study in Ireland

Purpose: The aim of the study was to analyze the code-switching in multilingual communities: a sociolinguistic study in Ireland. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: In a sociolinguistic study on code-switching in multilingual communities in Ireland, researchers found that code-switching serves as a vital communicative tool among bilingual speakers, facilitating social interaction and identity expression. The study revealed that individuals often switch languages to navigate different cultural contexts, signal group membership, and convey nuanced meanings that are culturally specific. Unique Contribution to Theory, Practice and Policy: Sociolinguistic theory, speech accommodation theory & translanguaging theory may be used to anchor future studies on the code-switching in multilingual communities: a sociolinguistic study in Ireland. Educators should adopt inclusive pedagogical strategies that recognize code-switching as a legitimate form of communication within the classroom, allowing students to explore their linguistic identities. Educational policies should mandate the incorporation of bilingual education programs that respect and utilize code-switching as a learning tool, promoting teacher training programs that equip educators with the skills to support multilingual students.

The impact of group membership on punishment versus partner rejection.

People often display ingroup bias in punishment, punishing outgroup members more harshly than ingroup members. However, the impact of group membership may be less pronounced when people are choosing whether to stop interacting with someone (i.e., partner rejection). In two studies (N = 1667), we investigate the impact of group membership on both response types. Participants were assigned to groups based on a "minimal" groups paradigm (Study 1) or their self-reported political positions (Study 2) and played an incentivized economic game with other players. In this game, participants (Responders) responded to other players (Deciders). In the Punishment condition, participants could decrease the Decider's bonus pay. In the Partner Rejection condition, participants could reject future interactions with the Decider. Participants played once with an ingroup member and once with an outgroup member. To control for the effects of intent and outcome, scenarios also differed based on the Decider's Intent (selfish versus fair) and the Outcome (equal versus unequal distribution of resources). Participants punished outgroup members more than ingroup members, however group membership did not influence decisions to reject partners. These results highlight partner rejection as a boundary condition for the impact of group on responses to transgressions.

Inequities in sleep duration and quality among adolescents in Canada

BackgroundSeveral recent global events may have impacted adolescent sleep and exacerbated pre-existing disparities by social positions (i.e., social roles, identity or sociodemographic factors, and/or group memberships that are associated with power and oppression due to the structures and processes in a given society at given time). Current understanding of sleep among adolescents is critical to inform interventions for a more equitable future, given the short and long-term consequences of inadequate sleep on health and well-being. This study aimed to provide contemporary evidence on sleep disparities by key social positions among adolescents in Canada.MethodsCross-sectional analyses were conducted using self-reported data collected during 2020–2021 (the first full school year after the COVID-19 pandemic onset) from 52,138 students (mean [SD] age = 14.9 [1.5]) attending 133 Canadian secondary schools. Multiple regression models were used to test whether sleep quality (how well students slept during past week), duration (weekday, weekend, weighted daily average), and guideline adherence (8–10 h/day) differed by sex and gender, race and ethnicity, and socioeconomic status (SES).ResultsFemales reported a mean [95% CI] difference of -1.7 [-3.7, 0.4] min/day less sleep on weekdays than males, but 7.1 [4.5, 9.6] min/day more sleep on weekends, resulting in no difference in average daily sleep between males and females. Females were less likely to report good quality sleep compared to males (AOR = 0.57 [0.54, 0.60]). SES followed a generally monotonic trend where higher scores were associated with more sleep on weekdays (Δhighest: lowest = -28.6 [-39.5, -17.6]) and weekends (Δhighest: lowest = -17.5 [-3.8, -31.2]) and greater likelihood of higher sleep quality (AORhighest: lowest = 3.04 [2.35, 3.92]). Relative to White adolescents, weekday and average daily sleep duration were lower among all other racial identities; mean differences ranged from ∼ 5–15 min/day, with Black students reporting the least sleep.ConclusionsDifferences in sleep duration and quality were most profound among adolescents from the lowest and highest SES. Racial disparities were more evident on weekdays. Compensatory weekend sleep appears more pronounced in females than males. Addressing sleep inequities is critical, as a robust predictor of multiple health outcomes.

Understanding the Role of Psychosocial Factors in Online News Addiction

ABSTRACT The internet has fundamentally changed the way in which individuals interact with news. Unfortunately, research suggests a growing number of people have become addicted to online news, resulting in negative consequences. In this research, we examine this phenomenon through the lens of social identity theory. We posit that, for some individuals, the identity adopted through group memberships becomes central to their daily life. This, along with fear of missing out and lack of trust in one’s social network, lead to online news addiction. Our findings confirm this view and offer new insights for why users overconsume online news. Our contributions are threefold. First, we provide a theoretically grounded explanation of online news addiction based on social identity theory. Second, our multidimensional conceptualization of social identity combined with centrality provides a nuanced pattern for future addiction studies. Finally, we identify factors which may be used to curb online news addiction.

The self can be associated with novel faces of in-group and out-group members: A cross-cultural study

The self can be associated with arbitrary images, such as geometric figures or unknown faces. By adopting a cross-cultural perspective, we explored in two experiments whether the self can be associated with faces of unknown people from different ethnic groups. In Experiment 1, Asian Japanese participants completed a perceptual matching task, associating Asian or White faces with themselves. The same task was used in Experiment 2 with White Italians. Both experiments showed a reliable association between the self and facial stimuli. Importantly, this association was similar for both Asian and White faces. Additionally, no correlations were found between the strength of this association and an index of implicit bias towards Asian and White individuals. These results suggest that the self is malleable and can incorporate social stimuli from different groups.

Profiles of intercultural sensitivity of healthcare students: a person-centred approach.

We aimed to explore healthcare students' intercultural sensitivity profiles and their relationship with empathy to develop effective education methods that promote non-discriminatory patient care. We conducted a cross-sectional questionnaire study, involving a total of 508 international (n= 100) and local (n= 408) healthcare students in Hungary by convenience sampling. The survey included demographics, the Intercultural Sensitivity Scale, and the Interpersonal Reactivity Index. We applied latent profile analysis to identify distinct sensitivity profiles and used multinomial logistic regression to estimate the predictive power of several background variables on profile group membership. A four-profile solution emerged: "Interculturally average" (n= 241), "Interculturally uncertain" (n= 76), "Interculturally sensitive" (n= 132), and "Interculturally refusing" (n= 54). The model (R2= 0.123; p= 0.001) revealed that psychology major tended to predict "uncertain" group membership (OR= 0.56, p= 0.08) and higher personal distress was a significant predictor of this group (OR=1.11, p= 0.002). Male gender (OR= 3.03, p= 0.001), medicine major (OR= 5.49, p= 0.01), lower perspective-taking (OR= 0.91, p= 0.007) and higher personal distress (OR= 1.09, p= 0.028) were identified as predictors of "refusing" group membership, compared to the "average" group. By exploring the ways students experience intercultural situations, a more personalized medical education can be developed with a special focus on vulnerable subgroups. For the "uncertain" group, the focus should be more on developing confidence, and intercultural experiences, whereas in the "refusing" group on strengthening empathy. In general, it can be useful to create mixed-gender, multidisciplinary, and intercultural learning environments.

A longitudinal study on the impact of working from home during the COVID 19 pandemic: Self-rated general health, stress, and work-family and family-work conflict - are there gender and parental status differences?

Examine the impact of working from home (WFH) during the COVID-19 pandemic on general health, stress, work-family and family-work conflict over-time and identify differences by gender and parental status. Trajectory analyses described outcomes over-time. Multinomial logistic regression relates the effects of gender, children, and the interaction between them, on group membership based on the Latent Class Growth Analyses. Not all trajectories followed the expected cubic pattern. Females had less family-work conflict (high/low: OR 0.29 95%CI 0.17-0.66; moderate/low OR 0.37 95%CI 0.20-0.67). Children increased the odds of family-work conflict (high/low: OR 8.48 95%CI 3.38-21.25; moderate/low OR 2.98 95%CI 1.63-5.43). Work-family conflict was worse for those with children (high-to-moderate decline/low-stable: OR 2.59 95%CI 1.25-5.41). WFH has implications for health and wellbeing of employees with differences based on gender and parental status for stress, work-family and family-work conflict.

Upper extremity neuromuscular function can distinguish between individuals with and without glenohumeral labral repair

The purpose of this study was to determine whether common measures of neuromuscular function could distinguish injury status indicated by group membership (glenohumeral labral repair, uninjured controls). 16 individuals with glenohumeral labral repair (24.1 ± 5.0 years, 36.7 ± 33.3 months after surgery) and 14 uninjured controls (23.8 ± 2.7 years) volunteered. We measured mass-normalized shoulder abduction and wrist flexion maximal voluntary isometric contraction torque (Nm/kg), motoneuron pool excitability of the flexor carpi radialis (Hoffmann reflex), corticospinal excitability of the upper trapezius, middle deltoid, and flexor carpi radialis (active motor threshold [%]) bilaterally. Receiver operator characteristic curve analyses were performed to determine if each outcome could distinguish injury status along with their outcome thresholds. Binary logistic regression was used to determine the accuracy of classification for each outcome. Our results suggest shoulder abduction torque symmetry (≤95.5 %) and corticospinal excitability for the upper trapezius (≥41.0 %) demonstrated excellent diagnostic utility. Shoulder abduction torque (≤0.71 Nm/kg) and motoneuron pool excitability (≤0.23) demonstrated acceptable diagnostic utility. Shoulder abduction torque symmetry alone was the strongest indicator, and classified injury status with 90.0 % accuracy (p < 0.01). Overall, symmetric shoulder abduction strength most accurately distinguished individuals’ injury status, suggesting the utility of bilateral assessment in this population.

Stability and Volatility in Cultural Models of Contention

Abstract How stable are the public’s assumptions about the legitimacy of contentious tactics? Previous studies show that the public hold a set of assumptions about what counts as legitimate and illegitimate tactics. We enrich this literature by studying the stability of these assumptions through the case of partisan protesting in the United States. Leveraging panel data collected during the 2020 Black Lives Matter and anti-lockdown protests as well as two preregistered survey experiments, we provide the first methodologically rigorous study of the short-term stability of these assumptions. We find that tactics are understood as inherently more legitimate when they are currently carried out by members of the partisan ingroup as opposed to its outgroup. However, although we do find an effect of contention, this is relatively moderate. The assumptions remain remarkably stable. This underscores the consolidated nature of the tactics in the United States and tempers fears of democratic decline in the realm of contention.