Social Behavior Research Articles

Correction to: On the Science of Reading: How Social Justice, Behavior Analysis, and Literacy Instruction Converge

Correction to: On the Science of Reading: How Social Justice, Behavior Analysis, and Literacy Instruction Converge

Digital K–12 STEM Education through Human–Robot Interaction: Investigation on Prerequisites

This article aims to explore, investigate, and determine the prerequisites that learners (students) should possess for participating in and being adequately benefitted from digital (robotics-enabled) K–12 STEM education offered through intuitive human–robot interaction. We selected 23 middle school mathematics and science teachers who received training on how to design, develop, and implement robotics-enabled lessons. The teachers then implemented robotics-enabled lessons in actual classroom settings, and separately responded to a survey based on their training, classroom experiences and observations, and self-brainstorming. We derived a set of prerequisite knowledge, skills, and abilities, including their relative importance for the students by analyzing the survey responses. The results showed that the students should not only possess prerequisite knowledge in the subject matter, but also possess behavioral, social, scientific, cognitive, and intellectual skills and abilities to participate in and receive benefits from robotics-enabled human–robot interactive digital STEM education. Out of the many prerequisites, the computational thinking ability of students was identified as one of the most required prerequisites to participate in robotics-enabled digital STEM education. To validate the derived prerequisites, teachers separately assessed the fulfillment of prerequisites by 38 participating students, and the results showed user acceptance, effectiveness, and suitability of the derived prerequisites set. We also identified a set of limitations of the studies and proposed action plans to enable students to meet the prerequisites. The results presented herein can help determine required instructional efforts and scaffolds before implementing robotics-enabled digital STEM lessons, and thus foster incorporating technology-enhanced (robotics-enabled) digital STEM education into K–12 curricula.

STUDI KUALITATIF PENGALAMAN IBU DROP OUT ALAT KONTRASEPSI DI MASA PANDEMI COVID-19

Background: The COVID-19 pandemic has caused disruptions in the health care system, particularly in reproductive health services that focus on family planning services. The emergence of the policy of limiting social behavior and physical distancing has led to behavioral changes in female family planning acceptors during the pandemic. The disruption of the family planning service system has caused an increase in the incidence of drop out of contraceptives during the COVID-19 pandemic. The purpose of this research to identify about the experience and reasons for mothers to drop out of contraceptives during the COVID-19 pandemic. This method of research is qualitative research used a phenomenological approach. Result: The experience of mothers dropping out of contraceptives during the COVID-19 pandemic varied, and the reasons for mothers to drop out of contraceptives included being worried and afraid of contracting COVID-19, low knowledge of mothers about contraceptives. Conclusion: Feelings of worry and fear of contracting COVID-19 are the main reasons for mothers to drop out of contraceptives during the COVID-19 pandemic. Therefore, providing comprehensive family planning services and monitoring for repeat visits to family planning acceptors are the main focus and special attention.

The impact of alcohol on affiliative verbal behavior: Asystematic review and meta-analysis.

Language is a fundamental aspect of human social behavior that is linked to many rewarding social experiences, such as social bonding. Potential effects of alcohol on affiliative language may therefore be an essential feature of alcohol reward and may elucidate pathways through which alcohol is linked to social facilitation. Examinations of alcohol's impact on language content, however, are sparse. Accordingly, this investigation represents the first systematic review and meta-analysis of alcohol's effects on affiliative language. We test the hypothesis that alcohol increases affiliative verbal approach behaviors and discuss future research directions. PsycInfo and Web of Science were systematically searched in March 2023 according to our preregistered plan. Eligible studies included social alcohol administration experiments in which affiliative verbal language was assessed. We present a random-effects meta-analysis that examines the effect of alcohol compared to control on measures of affiliative verbal behavior. Our search identified 16 distinct investigations (comprising 961 participants) that examined the effect of alcohol on affiliative verbal behavior. Studies varied greatly in methods and measures. Meta-analytic results demonstrated that alcohol is modestly associated with increases in affiliative verbal behavior (Hedges' g = 0.164, 95% CI [0.027, 0.301], p = 0.019). Study quality was rated using an adapted version of the Quality Assessment Tool for Quantitative Studies and did not significantly moderate alcohol's effects. This study provides preliminary evidence that alcohol can increase affiliative verbal behaviors. This effect may be an important feature of alcohol reward. Given heterogeneity in study features, low study quality ratings, and limited reporting of effect size data, results simultaneously highlight the promise of this research area and the need for more work. Advances in language processing methodologies that could allow future work to systematically expand upon this finding are discussed.

From Parental Behavior to Sexual Function: Recent Advances in Oxytocin Research

Abstract Purpose of Review Oxytocin plays many diverse roles in physiological and behavioral processes, including social activity, parental nurturing, stress responses, and sexual function. In this narrative review, we provide an update on the most noteworthy recent findings in this fascinating field. Recent Findings The development of techniques such as serial two-photon tomography and fiber photometry have provided a window into oxytocin neuroanatomy and real-time neuronal activity during social interactions. fMRI and complementary mapping techniques offer new insights into oxytocin's influence on brain activity and connectivity. Indeed, oxytocin has recently been found to influence the acquisition of maternal care behaviors and to mediate the influence of social touch on brain development and social interaction. Additionally, oxytocin plays a crucial role in male sexual function, affecting erectile activity and ejaculation, while its role in females remains controversial. Recent studies also highlight oxytocin's interaction with other neuropeptides, such as melanin-concentrating hormone, serotonin, and arginine vasopressin, influencing social and affective behaviors. Finally, an update is provided on the status of clinical trials involving oxytocin as a therapeutic intervention. Summary The exploration of oxytocin's complexities and its interplay with other neuropeptides holds promise for targeted treatment in various health and disease contexts. Overall, these findings contribute to the discovery of new and specific pathways to allow therapeutic targeting of oxytocin to treat disorders.

Environmental enrichment alleviates hyperalgesia by modulating central sensitization in a nitroglycerin-induced chronic migraine model of mice

BackgroundChronic migraine (CM) is a debilitating neurofunctional disorder primarily affecting females, characterized by central sensitization. Central sensitization refers to the enhanced response to sensory stimulation, which involves changes in neuronal excitability, synaptic plasticity, and neurotransmitter release. Environmental enrichment (EE) can increase the movement, exploration, socialization and other behaviors of mice. EE has shown promising effects in various neurological disorders, but its impact on CM and the underlying mechanism remains poorly understood. Therefore, the purpose of this study was to determine whether EE has the potential to serve as a cost-effective intervention strategy for CM.MethodsA mouse CM model was successfully established by repeated administration of nitroglycerin (NTG). We selected adult female mice around 8 weeks old, exposed them to EE for 2 months, and then induced the CM model. Nociceptive threshold tests were measured using Von Frey filaments and a hot plate. The expression of c-Fos, calcitonin gene-related peptide (CGRP) and inflammatory response were measured using WB and immunofluorescence to evaluate central sensitization. RNA sequencing was used to find differentially expressed genes and signaling pathways. Finally, the expression of the target differential gene was investigated.ResultsRepeated administration of NTG can induce hyperalgesia in female mice and increase the expression of c-Fos and CGRP in the trigeminal nucleus caudalis (TNC). Early exposure of mice to EE reduced NTG-induced hyperalgesia in CM mice. WB and immunofluorescence revealed that EE inhibited the overexpression of c-Fos and CGRP in the TNC of CM mice and alleviated the inflammatory response of microglia activation. RNA sequencing analysis identified that several central sensitization-related signaling pathways were altered by EE. VGluT1, a key gene involved in behavior, internal stimulus response, and ion channel activity, was found to be downregulated in mice exposed to EE.ConclusionEE can significantly ameliorate hyperalgesia in the NTG-induced CM model. The mechanisms may be to modulate central sensitization by reducing the expression of CGRP, attenuating the inflammatory response, and downregulating the expression of VGluT1, etc., suggesting that EE can serve as an effective preventive strategy for CM.

The impact of acute violent videogame exposure on neurocognitive markers of emotional empathic state.

Research examining the purported association between violent gaming and aggression remains controversial due to concerns related to methodology, unclear neurocognitive mechanisms, and the failure to adequately consider the role of individual differences in susceptibility. To help address these concerns, we used fMRI and an emotional empathy task to examine whether acute and cumulative violent gaming exposure were associated with abnormalities in emotional empathy as a function of trait-empathy. Emotional empathy was targeted given its involvement in regulating not only aggression, but also other important social functions such as compassion and prosocial behaviour. We hypothesized that violent media exposure increases the risk of aberrant social behaviour by altering the aversive value of distress cues. Contrary to expectations, neither behavioural ratings nor empathy-related brain activity varied as a function of violent gaming exposure. Notably, however, activation patterns in somatosensory and motor cortices reflected an interaction between violent media exposure and trait empathy. Thus, our results are inconsistent with a straightforward relationship between violent media exposure and reduced empathy. Furthermore, they highlight the importance of considering both individual differences in susceptibility, and other aspects of cognition related to social functioning to best inform public concern regarding safe gaming practices.

Choline chloride shows gender-dependent positive effects on social deficits, learning/memory impairments, neuronal loss and neuroinflammation in the lipopolysaccharide-induced rat model of autism.

The neuroprotective effects of choline chloride, an essential nutrient, a precursor for the acetylcholine and synthesis of membrane phospholipids, have been associated with neurological and neurodegenerative diseases. Its contribution to autism spectrum disorder, a neurodevelopmental disorder, remains unknown. Thus, we aimed to evaluate the effects of choline chloride on social behaviours, and histopathological and biochemical changes in a rat autism model. The autism model was induced by administration of 100 μg/kg lipopolysaccharide (LPS) on the 10th day of gestation. Choline chloride treatment (100 mg/kg/day) was commenced on PN5 and maintained until PN50. Social deficits were assessed by three-chamber sociability, open field, and passive avoidance learning tests. Tumour necrosis factor alpha (TNF-α), interleukin-2 (IL) and IL-17, nerve growth factor (NGF), and glutamate decarboxylase 67 (GAD67) levels were measured to assess neuroinflammatory responses. In addition, the number of hippocampal and cerebellar neurons and glial fibrillary acidic protein (GFAP) expression were evaluated. Social novelty and passive avoidance learning tests revealed significant differences in choline chloride-treated male rats compared with saline-treated groups. TNF-α, IL-2, and IL-17 were significantly decreased after choline chloride treatment in both males and females. NGF and GAD67 levels were unchanged in females, while there were significant differences in males. Histologically, significant changes in terms of gliosis were detected in hippocampal CA1 and CA3 regions and cerebellum in choline chloride-treated groups. The presence of ameliorative effects of choline chloride treatment on social behaviour and neuroinflammation through neuroinflammatory, neurotrophic, and neurotransmission pathways in a sex-dependent rat model of LPS-induced autism was demonstrated.

Fail or pass? Investigating learning experiences and interactive roles in MOOC discussion board

In massive open online course (MOOC) discussion board, students' learning experience, reflecting implicit cognitive and affective states, is related to their learning outcomes and course's completion rates. The majority of researches about learning experience identification in MOOCs depend on post-hoc questionnaires, which may encounter issues such as personal biases, hazy memories, or time constraints, and distribution difficulty in MOOCs. Moreover, learning experience is influenced by students' interactions during learning but their relationship has not been thoroughly explored. This study aimed to address these issues. Firstly, it proposed an artificial intelligence-based text analysis approach for automatically identifying patterns of learning experiences from the large-scale students' posts in MOOC discussion board. It had performance advantage in terms of accuracy when compared with the other competing approaches. Secondly, this study defined students' interactive roles from both social relations and interaction behaviors in MOOC discussion board, and analyzed learning experiences corresponding to the different interactive roles. For students with high participation and low influence in interactions, flow and boredom were prone to happen, while for students with low participation and high influence in interactions, anxiety and apathy were easy to generate. Finally, this study revealed the effect of learning experience on learning achievement with respect to interactive role. For students with high participation characteristics, their learning achievements were less affected by learning experience, while for students less active in interaction, flow was related with good learning achievements. In summary, this study had significant methodological implications for automated learning experience identification. Moreover, this study revealed importance of interactive role in describing the interplay between learning experience and learning achievement, and provided suggestions for the improvement of MOOCs.

Utilizing social determinants of health to identify most vulnerable neighborhoods–Latent class analysis and GIS map

ObjectivesPublic Health officials are often challenged to effectively allocate limited resources. Social determinants of health (SDOH) may cluster in areas to cause unique profiles related to various adverse life events. The authors use the framework of unintended teen pregnancies to illustrate how to identify the most vulnerable neighborhoods. MethodsThis study used data from the U.S. American Community Survey, Princeton Eviction Lab, and Connecticut Office of Vital Records. Census tracts are small statistical subdivisions of a county. Latent class analysis (LCA) was employed to separate the 832 Connecticut census tracts into four distinct latent classes based on SDOH, and GIS mapping was utilized to visualize the distribution of the most vulnerable neighborhoods. GEE Poisson regression model was used to assess whether latent classes were related to the outcome. Data were analyzed in May 2021. ResultsLCA's results showed that class 1 (non-minority non-disadvantaged tracts) had the least diversity and lowest poverty of the four classes. Compared to class 1, class 2 (minority non-disadvantaged tracts) had more households with no health insurance and with single parents; and class 3 (non-minority disadvantaged tracts) had more households with no vehicle available, that had moved from another place in the past year, were low income, and living in renter-occupied housing. Class 4 (minority disadvantaged tracts) had the lowest socioeconomic characteristics. ConclusionsLCA can identify unique profiles for neighborhoods vulnerable to adverse events, setting up the potential for differential intervention strategies for communities with varying risk profiles. Our approach may be generalizable to other areas or other programs. Key messagesWhat is already known on this topicPublic health practitioners struggle to develop interventions that are universally effective. The teen birth rates vary tremendously by race and ethnicity. Unplanned teen pregnancy rates are related to multiple social determinants and behaviors. Latent class analysis has been applied successfully to address public health problems.What this study addsWhile it is the pregnancy that is not planned rather than the birth, access to pregnancy intention data is not available resulting in a dependency on teen birth data for developing public health strategies. Using teen birth rates to identify at-risk neighborhoods will not directly represent the teens at risk for pregnancy but rather those who delivered a live birth. Since teen birth rates often fluctuate due to small numbers, especially for small neighborhoods, LCA may avoid some of the limitations associated with direct rate comparisons. The authors illustrate how practitioners can use publicly available SDOH from the Census Bureau to identify distinct SDOH profiles for teen births at the census tract level.How this study might affect research, practice or policyThese profiles of classes that are at heightened risk potentially can be used to tailor intervention plans for reducing unintended teen pregnancy. The approach may be adapted to other programs and other states to prioritize the allocation of limited resources.

Learning search algorithm: framework and comprehensive performance for solving optimization problems

In this study, the Learning Search Algorithm (LSA) is introduced as an innovative optimization algorithm that draws inspiration from swarm intelligence principles and mimics the social learning behavior observed in humans. The LSA algorithm optimizes the search process by integrating historical experience and real-time social information, enabling it to effectively navigate complex problem spaces. By doing so, it enhances its global development capability and provides efficient solutions to challenging optimization tasks. Additionally, the algorithm improves the collective learning capacity by incorporating teaching and active learning behaviors within the population, leading to improved local development capabilities. Furthermore, a dynamic adaptive control factor is utilized to regulate the algorithm’s global exploration and local development abilities. The proposed algorithm is rigorously evaluated using 40 benchmark test functions from IEEE CEC 2014 and CEC 2020, and compared against nine established evolutionary algorithms as well as 11 recently improved algorithms. The experimental results demonstrate the superiority of the LSA algorithm, as it achieves the top rank in the Friedman rank-sum test, highlighting its power and competitiveness. Moreover, the LSA algorithm is successfully applied to solve six real-world engineering problems and 15 UCI datasets of feature selection problems, showcasing its significant advantages and potential for practical applications in engineering problems and feature selection problems.

Social media use among adolescents with acne: A cross-sectional survey study.

Social media is increasingly used by patients for the management of skin conditions like acne, despite the potential risk for low-quality information. This study surveyed 45 participants between the ages of 12 and 17 years to investigate factors that could be associated with social media use among adolescents with acne. The likelihood of social media use was not significantly increased by clinical severity of acne, more severe physical barriers (greater than or equal to 20 miles to the dermatology clinic), more severe temporal barriers (waiting 12 or more weeks for a first dermatology appointment), or worsened quality of life (assessed via the Skindex-Teen score). This study increases understanding of adolescents' social media behaviors, particularly as a way to seek information for skin conditions like acne.

Effect of negative emotion on prospective memory and its different components

Prospective memory is an important and complex social cognitive ability, which is easily disturbed by negative emotions. According to the relationship between prospective memory cues and ongoing tasks, prospective memory can be divided into focal prospective memory and non-focal prospective memory. This study focuses on the influence of negative emotions on different types of prospective memory. In Experiment 1, 117 participants were recruited, using a 2 (emotion: negative, neutral) × 2 (cue focality: focal, non-focal) between-subjects design to initially explore whether negative emotions can interfere with the prospective memory of both focal cue and non-focal cue. The results show that negative emotions simultaneously reduce both types of prospective memory performance. At the same time, negative emotions occupy additional attention resources and impair the prospective component of prospective memory with non-focal cues. In Experiment 2, 64 participants were recruited to improve the difficulty of the retrospective component of prospective memory with non-focal cues, and the influence of negative emotions on different components of prospective memory with non-focal cues was further explored. The results show that negative emotions can impair both the prospective and retrospective components of prospective memory. In short, the results of this study indicate that negative emotion can impair prospective memory, and the impairment effect is not limited by the cue type of prospective memory. Meanwhile, negative emotion will occupy more attentional resources and simultaneously affect the prospective and retrospective components of prospective memory.

Art therapy for children and adolescents with autism: a systematic review

ABSTRACT Background Children and adolescents with autism spectrum disorder (ASD) experience a variety of social, behavioural and motor symptoms that impact their daily life. The benefits of art therapy (AT) have been demonstrated with other populations. Aims: This review aimed to investigate the effectiveness of AT for children and adolescents with ASD. Methods Following best practice standards in the conduct of systematic reviews, a comprehensive search of MEDLINE, Emcare, Embase, Cochrane Library, PsycINFO, OTseeker and Education Resources Information Center databases and grey literature was conducted in February 2023. Two reviewers independently undertook a two-stage literature screening process. The McMaster critical appraisal tool was utilised to determine the methodological quality of the included studies. A narrative synthesis was used to synthesise the results. Results Seven studies of varying methodological quality were included in this review. The modality and parameters of AT varied between studies, as did measures of outcomes. However, improvements in social skills (communication, interpersonal relationships and social behaviour), behavioural skills (hyperactivity/inattention and assertion) and motor skills (fine motor skills, balance and flexibility) were reported in the literature. Conclusions While AT may offer positive improvements of ASD symptoms for children and adolescents, further methodologically rigorous research is required to substantiate these findings. Implications The use of AT in clinical practice should be underpinned by sound clinical reasoning and use of robust outcome measures to evaluate the impact of such interventions.

The grey side of influencer marketing: Content, contexts, and consequences

AbstractThe wall of differentiation between genuine recommendations by social media influencers and brand‐sponsored promotions has become thinner since brands are increasingly sponsoring influencers to promote their products and services. This study has followed a qualitative research method using the grounded theory approach to conduct in‐depth, one‐to‐one, semi‐structured interviews with 25 social media users to delve into influencers' brand paid promotions and sponsorship disclosure, which marks a grey area in influencer marketing. The results delineate the grey characteristics of influencers through three main themes: (1) Disclosure of paid promotions/ non‐promotions (i.e., content factors), (2) Consumer conviction conundrum (i.e., context factors), and (3) Social media users' avoidance behaviour (i.e., consequences). This study also defines ‘Sinfluencer’ (i.e., commercially motivated influencers who hide their paid partnerships) and elucidates ‘evaluation’ as a critical step, thereby extending the discussion on the social media engagement cycle.

The Bergen–Social Media Addiction Scale (BSMAS): longitudinal measurement invariance across a two-year interval

ABSTRACT Objective This study aims to examine the longitudinal measurement invariance of the Bergen Social Media Addiction Scale (BSMAS) over a two-year interval, addressing a gap in research on its consistency over time. Method Confirmatory Factor Analysis with a robust maximum likelihood chi-square estimator was utilised to assess the BSMAS among 276 adults (mean age = 31.86 years; SD = 9.94 years; 71% male) at three time points across two years. This method evaluates the scale’s structural consistency and reliability longitudinally. Results The analysis supported full measurement invariance (configural, metric, scalar, and error variance) of the BSMAS, indicating stable measurement properties over time. Furthermore, temporal stability and equivalency of the BSMAS total mean scores were confirmed across the three-time points, suggesting consistent measurement of social media addiction. Conclusions The findings validate the BSMAS as a reliable instrument for measuring social media addiction over extended periods. Demonstrating its psychometric stability enhances its utility for longitudinal studies, making it a valuable tool for tracking changes in social media addiction behaviours. These results have significant implications for future research and clinical practice, highlighting the BSMAS’s applicability in long-term studies.

Exploring Emotional Dysregulation and Avoidance with Caregivers as the Mechanisms Linking Social Communication Understanding and Aggressive Behaviours.

Many autistic adolescents and young adults present with aggressive behaviours, which can be challenging for caregivers. The present study aimed to explore the underlying mechanisms between social communication understanding and aggressive behaviours in autistic and non-autistic adolescents, specifically the role of emotional dysregulation and its impact on avoidance with caregivers. Caregivers of autistic (n=275) and non-autistic adolescents (n=123) completed standardised caregiver-report questionnaires measuring social communication understanding, emotional dysregulation, avoidance between the adolescent and caregiver and aggressive behaviours. A serial mediation analysis indicated that levels of social communication understanding were indirectly associated with aggressive behaviours. This occurred through increased emotional dysregulation, which may have led to increased avoidance between the autistic and non-autistic adolescents and their caregivers. These findings support a sequential process by which adolescents with low social communication understanding are more likely to behave aggressively through being emotionally dysregulated and the impact of this on the increased avoidance within the caregiver-adolescent dyad. This process was found within autistic and non-autistic adolescents, suggesting a mechanism across individuals with aggression. These findings indicate that interventions based on improving emotion regulation ability and responses between adolescents and their caregivers may aid in reducing aggressive behaviours in adolescents and young adults with lower social communication understanding.

Convergent and Discriminant Validity of the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) and the Vineland Adaptive Behavior Scales (VABS).

Behavior analysts frequently use the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) to assess the language and social skills of children with autism in everyday practice and in research. Despite the widespread use of the VB-MAPP, its psychometric characteristics have not been extensively investigated. To provide information about its convergent validity, we calculated correlations between scores earned by 235 children with autism on the VB-MAPP and the Vineland Adaptive Behavior Scale (VABS), a commonly used assessment with good reliability and validity. We obtained moderate or strong positive correlations between the VB-MAPP Milestones score and VABS Communication, Socialization, and Daily Living Skills subdomains. There was also a strong positive correlation between the VB-MAPP Milestones score and VABS overall raw score. These findings suggest that the VB-MAPP Milestones Assessment measures aspects of social and communicative behavior comparable to those indexed by these VABS subdomains which, like prior findings, supports the use of the Milestones Assessment. No significant relationship was observed between the VB-MAPP Barriers score and the VABS Internalizing, Externalizing, or overall Maladaptive Behavior scores. These findings, like prior findings, question the value of the VB-MAPP's Barriers Assessment as a measure of maladaptive behavior.

From Social Stress and Isolation to Autonomic Nervous System Dysregulation in Suicidal Behavior.

In this narrative review we wanted to describe the relationship of autonomic nervous system activity with social environment and suicidal spectrum behaviors. Patients with suicidal ideation/suicide attempt have higher sympathetic nervous system (SNS) and lower parasympathetic nervous system (PNS) activity in resting conditions and during acute stress tasks compared with patients without suicidal ideation/suicide attempt. Death by suicide and violent suicide attempt also are related to SNS hyperactivation. Similarly, a SNS/PNS imbalance has been observed in people with childhood trauma, stressful life events or feelings of loneliness and isolation. Social support seems to increase PNS control and resilience. Due to the importance of the social context and stressful life events in suicidal behavior, SNS/PNS imbalance could act as a mediator in this relationship and be a source of relevant biomarkers. Childhood trauma and stressful life events may impair the autonomic nervous system response in suicidal patients. Loneliness, isolation and social support may act as moderators in acute stress situations.

Ecology and social behavior of the midday gerbil Meriones meridianus: Insights from long-term research in the wild and seminatural environments

The present review provides a compilation of the published data on the ecology and social behavior of midday gerbils. Both field studies and observations under semi-natural conditions provide evidence that the midday gerbil is a nocturnal, primarily granivorous rodent that lives in highly seasonal habitats. A typical feature of the midday gerbils’ spatial organization is formation of multi-male–multi-female associations (breeding colonies) in which male home ranges overlap each other and with female ranges to a great extent, while females tend to occupy exclusive home ranges. The mating system of this species can be defined as polygynandry or promiscuity; males appear to compete for access to receptive females. The social structure in the midday gerbil is primarily based on aggressive interactions between conspecifics resulting in a dominance hierarchy among males and site-dependent dominance among females, especially during the breeding season. After the cessation of reproduction, a tendency towards more pronounced gregariousness appears, and midday gerbils form wintering groups; gerbils, however, lead solitary lives within these groups. Overall, the data presented expand our understanding of socio-ecology of gerbils.