Experimental research on sequential moral behavior (SMB) has found that engaging in an initial moral (or immoral) behavior can sometimes lead to moral balancing (i.e., switching between positive and negative behavior) and sometimes to moral consistency (i.e., maintaining a consistent pattern of positive or negative behavior). In two meta-analyses, we present the first comprehensive syntheses of SMB studies and test moderators to identify the conditions under which moral balancing and moral consistency are most likely to occur. Meta-Analysis 1 (k = 217 effect sizes, N = 31,242) revealed that engaging in an initial positive behavior only reliably resulted in moral licensing (i.e., balancing) in studies that measured engagement in negative target behaviors (Hedges\' g = 0.25, 95% CI [0.16, 0.44]) and only resulted in positive consistency in foot-in-the-door studies using prosocial requests (Hedges\' g = -0.44, 95% CI [-0.59, -0.29]). Meta-Analysis 2 (k = 132 effect sizes, N = 14,443) revealed that engaging in an initial negative behavior only reliably resulted in moral compensation (i.e., balancing) in studies that measured engagement in positive target behaviors (Hedges\' g = 0.27, 95% CI [0.18, 0.37]). We found no evidence for reliable negative consistency effects in any conditions. These results cannot be readily explained by current theories of SMB effects, and so further research is needed to better understand the mechanisms that drive moral balancing and consistency under the conditions observed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

OBJECTIVE: Prosociality refers to voluntary behaviors that intend to benefit others. Most of the existing literature suggests that older adults tend to act more prosocially compared to younger adults, whereas some studies show that older adults might not be that prosocial under certain conditions. The current study aimed to summarize the mixed findings and quantify the age difference in prosociality by conducting a qualitative systematic review and a quantitative meta-analysis.
METHODS: Literature search was conducted based on 5 databases. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed and this review was registered at PROSPERO (CRD42022333373).
RESULTS: Based on the qualitative synthesis of 51 studies, older adults (n = 109,911) were more prosocial than younger adults (n = 68,501). The meta-analysis of 46 studies further supported this age effect (Hedges\' g = 0.31, 95% confidence interval [0.24, 0.37]), and this age effect might be moderated by the types of prosociality. We discovered a moderate age effect in sharing (Hedges\' g = 0.53), but a nonsignificant age effect in helping (Hedges\' g = 0.11), comforting (Hedges\' g = -0.20), or mixed prosociality (Hedges\' g = 0.15). Additionally, the age effect was only significant when older adults had higher socioeconomic status than younger adults.
CONCLUSIONS: Future research should develop more comprehensive measures of prosociality, examine more variables that influence aging and prosociality, and investigate the neural mechanism(s) of prosociality to achieve a thorough understanding of the age difference in prosociality.

With their unique colony structure, competition between ants (Hymenoptera: Formicidae) can be particularly intense, with colonies potentially willing to sacrifice large number of individuals to obtain resources or territory under the right circumstances. In this review, we cover circumstances in which ant competition escalates into combat, battle strategies and tactics, and analysis methods for these battles. The trends for when colonies choose to fight can vary greatly dependent on the species and situation, which we review in detail. Because of their large group sizes, ant conflicts can follow different patterns than many other species, with a variety of specialist adaptations and battle strategies, such as specialized worker classes and the need to rapidly recruit large number of compatriots. These same large group sizes also can make ant fighting amenable to mathematical analysis, particularly in the context of Lanchester\'s laws that consider how total numbers influence the outcome of a confrontation. Yet, dynamic behavior can often disrupt idealized mathematical predictions in real-world scenarios, even though these can still shed light on the explanations for such behavior. We also systematically cover the literature on battles between groups of ants, presenting several other interesting studies on species with unique colony organization, such as army ants and leafcutter ants.

Our actions and decisions in everyday life are heavily influenced by social interactions, which are dynamic feedback loops involving actions, reactions, and internal cognitive processes between individual agents. Social interactions induce interpersonal synchrony, which occurs at different biobehavioral levels and comprises behavioral, physiological, and neurological activities. Hyperscanning-a neuroimaging technique that simultaneously measures the activity of multiple brain regions-has provided a powerful second-person neuroscience tool for investigating the phase alignment of neural processes during interactive social behavior. Neural synchronization, revealed by hyperscanning, is a phenomenon called inter-brain synchrony- a process that purportedly facilitates social interactions by prompting appropriate anticipation of and responses to each other\'s social behaviors during ongoing shared interactions. In this review, I explored the therapeutic dual-brain approach using noninvasive brain stimulation to target inter-brain synchrony based on second-person neuroscience to modulate social interaction. Artificially inducing synchrony between the brains is a potential adjunct technique to physiotherapy, psychotherapy, and pain treatment- which are strongly influenced by the social interaction between the therapist and patient. Dual-brain approaches to personalize stimulation parameters must consider temporal, spatial, and oscillatory factors. Multiple data fusion analysis, the assessment of inter-brain plasticity, a closed-loop system, and a brain-to-brain interface can support personalized stimulation.

Oxytocin administration has demonstrated considerable promise for providing individualized support for autistic people. However, studies evaluating the effects of oxytocin administration on autistic characteristics have yielded inconsistent results. This systematic review and meta-analysis investigates the effect of oxytocin administration on social and routinized behaviors in autism using recently developed methods to accurately assess the potential impact of effect size dependency and publication bias. Our frequentist meta-analysis yielded a significant summary effect size estimate for the impact of oxytocin administration on social outcomes in autism (d = 0.22, p < 0.001). The summary effect size estimate for routinized behavior outcomes was not statistically significant (d = 0.14, p = 0.22), with a follow up test indicating that the effect size estimate was not either statistically equivalent (Z = -1.06, p = 0.2), assuming a smallest effect size of interest of 0.25. Frequentist and Bayesian assessments for publication bias, as well as results from Robust Bayesian meta-analysis of oxytocin effects on social outcomes in autism, indicated that summary effect sizes might be inflated due to publication bias. Future studies should aim to reduce bias by preregistering analysis plans and to increase precision with larger sample sizes.

Interactions with others need social adjustment (i.e., the constant accommodation to changing social situations). Mixed evidence indicates positive as well as negative changes in social adjustment after subthalamic nucleus deep brain stimulation (STN-DBS) in people with Parkinson\'s Disease (PwPD). To date, however, no meta-analysis of these changes exists. Thus, the study aim was to review evidence of the effects of STN-DBS on social adjustment in PwPD. For this purpose, a systematic literature search in MEDLINE was conducted. The meta-analysis was performed using a random effects model and standardized mean differences (SMDs) with 95% confidence intervals (CIs). The MINORS tool was used to assess the methodological quality of the studies. The initial literature search identified 13,124 articles, of which 1,550 full texts were assessed for eligibility. Eight studies were finally included; for seven articles sufficient data for a meta-analysis was available. Most studies found mild impairment in social adjustment impairment pre-surgery. The meta-analysis revealed no significant changes but a statistical trend towards improvement in social adjustment up to six months (SMD = 0.25; 95%CI=-0.03,0.53; P = 0.08) and over 12 months (SMD = 0.26; 95%CI=-0.03,0.55; P = 0.07) post-surgery. Methodological quality was moderate in 87.5% of the studies and good in 12.5%. While mild impairment in social adjustment pre-surgery was reported in most studies, the data indicate that STN-DBS might yield beneficial effects toward this outcome. However, not enough data yet exists to draw firm conclusions. As a crucial skill for everyday functioning, social adjustment should be more often defined as an outcome in STN-DBS trials in PwPD and should be considered in clinical routines.

Phubbing, a pervasive social behavior linked to smartphone usage, involves users neglecting their conversation partners to engage with their phones. Despite consistent exploration of its association with the concept of fear of missing out (FOMO), findings in the existing literature exhibit notable inconsistency. To address this gap, this study employs a systematic review and meta-analysis to scrutinize the intricate relationship between phubbing behavior and FOMO. A comprehensive systematic review, spanning up to December 10, 2023, encompassed databases such as PubMed, Scopus, Web of Science, ProQuest, and Google Scholar. The resulting dataset comprised 27 eligible studies, incorporating insights from 20,415 participants across 15 countries. Rigorous evaluation of study quality was executed using the Newcastle Ottawa Scale, while statistical analyses were meticulously conducted using R Studio. Revealing a robust positive association, phubbing behavior was significantly linked to FOMO (effect size[ES] = 0.43, 95% CI: 0.36, 0.49, I2: 97.5%, τ2: 0.05). Correcting for detected publication bias using the Trim and Fill method, an additional 16 studies were included, fortifying the robustness of the findings. Moderation analysis uncovered significant influences of location (p < 0.01), income level (p < 0.01), sampling method (p < 0.01), phubbing scale (p < 0.01), and FOMO scale and type (p < 0.01) on the estimated relationship. Univariate meta-regression highlighted the substantial impact of sample size (R2 = 11.81%, p < 0.01), while multivariate meta-regression illuminated the combined effects of publication year, study quality score, sample size, mean age, and female proportion on the estimated relationship (k = 19, R2 = 52.85%, I2 = 93.78%, p < 0.05). Furthermore, post hoc influential analysis, conducted through the leave-one-out method, offered additional depth to the examination.

There is currently no systematic review of the growing body of literature on using social robots in early developmental research. Designing appropriate methods for early childhood research is crucial for broadening our understanding of young children\'s social and cognitive development. This scoping review systematically examines the existing literature on using social robots to study social and cognitive development in infants and toddlers aged between 2 and 35 months. Moreover, it aims to identify the research focus, findings, and reported gaps and challenges when using robots in research. We included empirical studies published between 1990 and May 29, 2023. We searched for literature in PsychINFO, ERIC, Web of Science, and PsyArXiv. Twenty-nine studies met the inclusion criteria and were mapped using the scoping review method. Our findings reveal that most studies were quantitative, with experimental designs conducted in a laboratory setting where children were exposed to physically present or virtual robots in a one-to-one situation. We found that robots were used to investigate four main concepts: animacy concept, action understanding, imitation, and early conversational skills. Many studies focused on whether young children regard robots as agents or social partners. The studies demonstrated that young children could learn from and understand social robots in some situations but not always. For instance, children\'s understanding of social robots was often facilitated by robots that behaved interactively and contingently. This scoping review highlights the need to design social robots that can engage in interactive and contingent social behaviors for early developmental research.

We advance the trait approach to leadership by leveraging a large multinational database on leader emergence (k = 120 samples, N = 32,579) and leader effectiveness (k = 116, N = 42,487) to extend Judge et al.\'s (2002) classic meta-analysis of Big Five personality and leadership. By testing novel hypotheses rooted in culturally endorsed implicit leadership theory and socioanalytic theory, we offer three unique insights. First, in collectivist societies (cultures that value interdependence with one\'s group), the five factor model traits-and leader Extraversion and Agreeableness in particular-are stronger predictors of leader effectiveness, consistent with the theorized need for enhanced social coordination in such cultures. Second, a theoretical model is proposed to specify that leader Big Five trait effects are mediated by leader behavior (confirming that Consideration mediates Extraversion and Agreeableness, whereas Initiating Structure mediates Conscientiousness, Extraversion, and Openness). Third, trait Honesty-Humility robustly predicts leader effectiveness beyond the Big Five traits, expanding the trait approach. New implications for understanding when and why personality traits predict leadership are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

People feel committed to other individuals, groups, organizations, or moral norms in many contexts of everyday life. Such social commitment can lead to positive outcomes, such as increased job satisfaction or relationship longevity; yet, there can also be detrimental effects to feeling committed. Recent high-profile cases of fraud or corruption in companies like Enron or Volkswagen are likely influenced by strong commitment to the organization or coworkers. Although social commitment might increase dishonest behavior, there is little systematic knowledge about when and how this may occur. In the present project, we reviewed 20,988 articles, focusing on studies that experimentally manipulated social commitment and measured dishonest behavior. We retained 445 effect sizes from 121 articles featuring a total of 91,683 participants across 33 countries. We found no evidence that social commitment increases or reduces dishonest behavior in general. Nonetheless, we did find evidence that the effect strongly depends on the target of the commitment. Feeling committed to other individuals or groups reduces honest behavior (g = -0.17 [-0.24, -0.11]), whereas feeling committed to honesty norms through honesty oaths or pledges increases honest behavior (g = 0.27 [0.19, 0.36]). The analysis identified several moderating variables and detected some degree of publication bias across effects. Our findings highlight the diverging effects of different forms of social commitment on dishonest behavior and suggest a combination of the different forms of commitment could be a possible means to combat corruption and dishonest behavior in the organizational context. (PsycInfo Database Record (c) 2024 APA, all rights reserved).