Behavior Scale Research Articles

Enhancing feedback capabilities with the peer feedback module

Feedback has a powerful impact on student learning (Hattie & Timperley, 2007). Although it has now become an essential component of higher education courses, learning how to receive and provide feedback can be difficult, as evidenced by dissatisfaction in student surveys on a global scale (e.g., MacKay et al., 2019). Carless and Boud (2018) argue that for feedback to be effective, students need to develop their feedback-related capabilities. To enhance student feedback capabilities, feedback should be viewed as a complex process that has the potential to enhance learning and which emphasizes student agency (Niemienen et al., 2021). Peer feedback offers a range of opportunities for promoting student agency, where students practice constructing, delivering, and receiving feedback (Nicol et al., 2014). In the shift to hybrid and digital learning contexts, such opportunities are frequently mediated by technology, which may require different or additional capabilities to traditional teacher-led feedback practices. A small body of work from the peer feedback literature has focused on what specific capabilities students need during the feedback process. For example, Han and Xu (2020) argue that the literacy needed for peer feedback includes cognitive readiness (making judgements and taking action) and social-affective readiness (appreciating feedback and managing affect). To expand on this, peer feedback has been conceptualized as entailing a cognitive aspect (knowing what to critique in the work), a critical thinking aspect (such as judging work), and a socio-emotional aspect (considering emotions and the social climate) (Cheng et al., 2023). With the understanding that feedback literacy can be developed over time (Malecka et al., 2022) and a recent focus on developing interventions to improve feedback skills (see Little et al., 2024), this poster presentation details the creation and development of a feedback literacy intervention which contains an online module to develop peer feedback skills. To participate in the intervention, students are required to reflect on their feedback literacy levels using a recently developed feedback literacy behaviour scale (FLBS) (Dawson et al., 2023). Following this, participants engage in a student-led, self-paced online module nested within the University’s learning management system. Each sub-module targets different peer feedback capabilities which have been categorized into five dimensions, including domain knowledge, using evaluative judgement, crafting and delivering the feedback message, managing the socio-emotional environment, and using motivation. After participation in the online module, students complete an organic and pre-existing peer feedback activity before assessing their feedback literacy levels once more through the FLBS (Dawson et al., 2023). A smaller sample of students are involved in focus groups, where insights into how the module has the potential to influence feedback capabilities are discussed. Participants also bring along student work to highlight how their feedback capabilities have been used. Through this intervention, learners may develop better feedback practices (including general feedback literacy). Crucially, they may also learn how to provide effective and helpful feedback information to their peers, which is one of the key requirements for moving beyond university and into the workforce.

The Relationship Between Social Media Use and Smartphone Addiction in Adolescents and Parental Neglect During the Pandemic

The aim of this study was to examine the relationships between social media and smartphone addiction in adolescents and their parents’ neglectful behaviors in the pandemic. The main problem of the research is to examine whether the increasing socialization and intimacy needs of adolescents during the pandemic period are an important factor in the emergence of social media and smartphone addiction due to their parents' inability to adequately meet these needs and neglecting their children, especially in terms of supervision. The study group consisted of 280 adolescents aged between 11-14 attending secondary schools in the city center of Ankara, Türkiye and their parents. In terms of the data gathering instruments, an Individual Information Form was administered to both the children and parents for the purpose of gathering socio-demographic data. In addition, adolescents were administered Smartphone Addiction Scale for the purpose of assessing their smartphone addiction levels along with Social Media Addiction Scale for the purpose of assessing their social media addiction levels. On the other hand, the Multidimensional Neglectful Behaviors Scale was administered to the parents in order to assess the level of their neglectful behaviors. As a result, 86.5% (n=218) of adolescents stated that their smartphone use and 78.5% (n=204) stated that their social media use increased during the pandemic period. When the smart phone and social media addiction status of adolescents were compared according to the level of neglect by their parents, it was determined that the neglect scores of adolescents with addiction level-smart phone and -social media use were significantly higher. In addition, it was found that parental neglect levels were positively associated with both smart phone addiction and social media addiction in adolescents, and there was a positive relationship between smart phone addiction and social media addiction in adolescents. The findings were discussed in line with the related literature.

Climate Change Perception, Climate Change Anxiety, & Pro-environmental Behaviors of Tertiary Students

The Philippines is one of the most climate change-vulnerable countries in the world. As the climate crisis pose physical and mental threats, it is crucial to understand the factors affecting environmental behavior. However, local studies on the role of Psychology in encouraging pro-environmental behaviors (PEB) appear to be few in the Philippines. This study was designed to determine the level and the predictive ability of climate change perception (CCP) and climate change anxiety (CCA) on PEB. A stepwise regression analysis was used on data collected from 430 stratified randomly sampled tertiary students in Bacolod city, Philippines who completed the Climate Change Perception Scale, Climate Change Anxiety Scale, and Pro-environmental Behavior Scale. Results showed that the parsimonious model that include climate change anxiety (t=13.585, p=.000) and climate change perception (t=6.409, p=.000) significantly predicted pro-environmental behaviors F(1, 426) = 115.284, p < .001, adj. R2 = .349. Further, findings indicate that 34.9% of the variance in the pro-environmental behaviors can be explained by the model. In conclusion, when tertiary students experience higher levels of climate change anxiety and perceive climate change as a significant threat, they are more likely to engage in pro-environmental behaviors. Results suggest a need for further research in determining other factors that predict PEB. This study contributes to the scarce literature on Environmental Psychology in the country.

Ball Don't Lie: Commentary on Chemero (2024) and Wallot et al. (2024)

AbstractThe interaction‐dominant approach to perception and action, originally formulated in the mid‐1990s, has matured and gained remarkable momentum as an entailment of the dynamical hypotheses proposed at that time. This framework seeks to explain the fluid and intricate interplay of causality spanning the entire organism by integrating high‐dimensional details with low‐dimensional constraints across various scales of behavior. Both Chemero (2024) and Wallot et al. (2024) have skillfully explored the theoretical implications and methodological challenges this perspective introduces. We echo Chemero's (2024) and Wallot et al.’s (2024) focus on multifractality, while also underscoring new efforts to model the synergetic relationships and cascading dynamics inherent in this interaction‐dominant approach.

Prospectively predicting 6-month risk for non-suicidal self-injury among adolescents after psychiatric hospitalization based on a predictive model

BackgroundIt is challenging to predict the occurrence of non-suicidal self-injury (NSSI) among adolescents over short periods. Moreover, the predictive value of indices for NSSI remains elusive. Thus, this study aimed to identify predictors of NSSI within 6 months among adolescents after psychiatric hospitalization by establishing a risk assessment model.MethodsA total of 632 high-risk participants were included in this study. The distribution characteristics of adolescent NSSI were initially assessed through a cross-sectional survey, following which risk factors were identified using logistic regression analysis. The risk score method was then used to construct a 6-month risk assessment model for NSSI. Lastly, the predictive effect of the model was evaluated by indicators such as the area under the receiver operating characteristic (ROC) curve and the positive predictive value.ResultsAfter 6 months, 412 cases of NSSI were identified. According to the logistic regression model, the frequency of relapses, medication status, and NSSI history were identified as influencing factors. Higher scores on the Impulsive Behavior Scale and Pittsburgh Sleep Quality Index were associated with a higher risk of NSSI. Conversely, higher scores on the Pain and Belief Perception Scale were correlated with a lower risk of NSSI. Moreover, the area under the ROC curve for the predictive model was 0.9989, with a 95% confidence interval of (0.9979, 0.9999), highlighting its high predictive ability and accuracy. The predictive model was validated using 78 patients, yielding an area under the ROC curve of 0.9703 and a 95% confidence interval of (0.9167, 0.9999), demonstrating outstanding predictability.ConclusionThese results collectively showed that the predictive model could accurately predict adolescent NSSI. Thus, the model’s primary variables may be applied to predict the risk of NSSI in the clinical setting.

Music therapy improves engagement and initiation for autistic children with mild intellectual disabilities: A randomized controlled study.

This study aimed to evaluate the effectiveness of music therapy (MT) for children with co-occurring autism spectrum disorder (ASD) and intellectual disabilities (ID) and explore whether pre-intervention quantitative electroencephalogram (qEEG) responses can predict outcomes. A randomized controlled trial was conducted with 33 children receiving MT and 34 receiving an active control therapy. Participants received either MT or a non-musical social skills intervention for 45 min weekly over 12 weeks. Primary outcomes were measured using the Childhood Autism Rating Scale (CARS-2), along with the parent-rated Social Responsiveness Scale (SRS-2) and video coding of social behaviors. Both conditions significantly improved in CARS-2 scores at 2 weeks and 4 months post-intervention, with no differences between MT and control conditions. No changes were found in SRS-2 scores. While both conditions showed reduced disengagement after intervention, only the MT condition showed increased engagement and initiation. Strong qEEG responses to social scenes and music predicted increased initiation, indicating its potential to help tailor interventions. These results support incorporating MT into standard services and further research on qEEG predictors.

Challenges in Mathematics Arising from Theoretical and Computational Chemistry

The combination of theoretical chemistry and mathematics represents a significant advancement in science since it has yielded insights into the enigmas surrounding atoms and molecules. The advancement of technology has greatly benefited drug development, leading to significant advancements in both medicine and materials research. This summary discusses innovative methodologies and computational challenges in the expansive domain of theoretical and computational chemistry. Despite the computational challenges associated with the Schrodinger equation and Density Functional Theory (DFT), quantum mechanics offers a basic understanding of the behaviour of molecules and atoms. While MD simulations may not handle long-range interactions and complex configuration spaces, they nonetheless excel at capturing various time scales of molecular behaviour. Nevertheless, the process of transforming abstract notions into computer models for the purpose of solving MD simulations continues to be difficult; statistical mechanics offers a theoretical framework for understanding MD simulations. Data-driven methodologies and machine learning have significantly transformed the perspective of computational chemistry by enabling the observation and comprehension of very complex chemical interactions. We must also address concerns about interpretability, reliability in limited data streams, and system transferability. These challenges expedite the advancement of novel materials, product designs, and pharmaceuticals by leveraging machine learning and integrating it with specialised domain expertise. We used available data from many reputable databases, spanning the time period from 2010 to 2024. It is imperative to prioritise the advancement of multiscale modelling techniques and hybrid quantum-classical tools in order to achieve sufficient mastery over chemical phenomena. Another potential benefit is the use of novel mathematical models to uncover previously unknown patterns and connections in genetic data. The most effective way to tackle mathematical problems is by employing a straightforward approach and engaging in collaboration with experts from other fields. By adopting this approach, we can effectively address significant societal issues and propel advancements in chemistry. Keywords: mathematics, computational, chemistry, theoretical, challenges, quantum mechanics

Are veterans willing to assist with firearm safety for suicide prevention?

ABSTRACT Veterans in the United States are affected by suicide at higher rates than the general population. This may be due to a higher probability for veterans to use more lethal methods of suicides such as firearms. While veterans often decline to disclose suicidal tendencies to healthcare providers, they show higher connectedness and willingness to heed the advice of peers. Considering this information, it is important to analyze how veteran peers could assist in a suicidal crisis. Veteran responses (n = 1,247) to the Gatekeeper Behavior Scale (GBS) and Firearm Safety Scale (FSS) were analyzed to determine predictive traits of willingness to assist a peer securely store or disable firearms during a suicidal crisis. Results show that veterans are willing to assist in securing firearms to prevent suicide death but are more willing to do so by locking, removing or disabling the firearms than storing them with law enforcement. Older veterans were also more likely to report a willingness to intervene than their younger peers. Of the GBS predictors, only the Likeliness to Help subscale predicted a willingness to intervene with firearm safety. Recommendations for training and interventions that further encourage helping behavior during suicidal episodes are discussed.

Autism, intelligence, language, and adaptive behavior, disentangling a complex relationship

IntroductionAutism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by a range of intellectual and language abilities. Its heterogeneity is acknowledged in modern diagnostics, complicating research and necessitating precision medicine and a multidimensional approach for individualized treatment and accurate assessment. Intellectual and language functioning influence adaptive skills and symptomatology. Thus, assessing adaptive functioning in a multidimensional and multi-informant manner is crucial, highlighting the importance of comprehensive evaluations. This study explores the interplay between autistic traits, demographic variables, IQ, adaptive functioning, and the applicability of ICD-11 classifications.MethodsWe analyzed data from the initial global evaluation of 60 diverse autistic children (aged 35 to 120 months; IQ range 16 to 118). Parent-reports using the Vineland Adaptive Behavior Scale (VABS-II) were compared with standardized assessments from the PsychoEducational Profile (PEP-3). Children’s intellectual levels were assessed using Griffiths Scales of Child Development (Griffiths III) and the Autism Diagnostic Observation Schedule (ADOS-2) was used for autistic traits. They were further classified according to the ICD-11 diagnostic system, functional language, and intellectual functioning levels. Correlations among variables, group comparisons, and multivariate analyses were performed.ResultsThe analysis indicates a linear effect of IQ on all adaptive scales and the impact of autistic traits on directly measured adaptive functioning. A factorial effect was observed due to changes concerning specific age, intellectual, and linguistic levels, which do not completely align with ICD-11 categorization. Additionally, a negative correlation between intelligence and measured autistic traits was found. Parental age, education level, and age at childbirth were also found to affect various adaptive scales.DiscussionThe study questions the ICD-11’s proposed distinctions in IQ and language functioning for ASD, advocating for more refined categorization and developmental considerations. It underscores the intricate relationship between autistic traits, IQ, and communication skills, casting doubt on the precision of diagnostic tools across the spectrum. Parental reports and direct assessments are essential for comprehensive evaluation, with parental education and age influencing children’s behaviors and skills. The study calls for a nuanced approach to ASD assessment, integrating various metrics and sources of information for a detailed phenotyping necessary for personalized interventions and biological research.

Investigating changes in mental illness stigma and discrimination after the Time to Change programme in England.

Between 2008 and 2019, we reported positive change relating to mental health stigma and discrimination among the adult population of England, supporting the effectiveness of the Time to Change campaign. Using data from the Attitudes to Mental Illness survey (2008/2009 to 2023), we investigated the extent to which positive changes in stigma were sustained by 2023, 2 years after the programme's end in 2021. We used regression analyses to evaluate trends in outcomes. Measures were of stigma-related knowledge (Mental Health Knowledge Schedule (MAKS)), attitudes (Community Attitudes toward the Mentally Ill scale (CAMI)) and desire for social distance (Reported and Intended Behaviour Scale (RIBS)). We also examined willingness to interact with people based on vignettes of depression and schizophrenia, and attitudes toward workplace discrimination, using data from the British Social Attitudes Survey for comparison. CAMI scores improved between 2008 and 2023 (s.d. 0.24, 95% CI 0.16-0.31), but decreased since 2019 (P = 0.015). After improvements between 2009 and 2019, 2023 MAKS and RIBS scores no longer differed from 2009 scores, indicating decreases in stigma-related knowledge (MAKS scores declined 7.8%; P < 0.001) and willingness to interact (RIBS scores declined by 10.2%; P < 0.001) since 2019. Conversely, comparison with British Social Attitudes Survey data indicated that willingness to interact with people with depression and schizophrenia increased gradually between 2007, 2015 and 2023, and attitudes to workplace discrimination also improved. The lasting positive changes reflect support for non-discrimination and willingness to interact with someone after a sense of familiarity is evoked. Besides the end of Time to Change, interpretations for declines in other outcomes include the COVID-19 pandemic and economic stress.

The effect of anxiety and autism symptom severity on restricted and repetitive behaviors over time in children with fragile X syndrome

BackgroundRestricted and repetitive behaviors (RRBs) are highly prevalent and reduce function in individuals with fragile X syndrome (FXS). As transdiagnostic features of intellectual disability, elevated rates of RRBs in FXS could represent various underlying known co-occurring conditions in FXS such as anxiety or autism spectrum disorder (ASD), yet this distinction has not been investigated. Further, delineating whether RRBs are more indicative of anxiety or ASD in FXS may clarify phenotypic profiles within FXS and improve differential assessment.MethodsWe longitudinally examined the potentially independent or multiplicative effect of ASD and anxiety symptom severity on RRBs in 60 children with FXS. Anxiety was measured using the Child Behavior Checklist (CBCL), ASD severity was measured using the Childhood Autism Rating Scale (CARS), and RRBs were measured using the Repetitive Behavior Scale – Revised (RBS-R). We estimated a series of moderated regression models with anxiety and ASD symptoms at the initial assessment (Time 1) as predictors of RRBs at the outcome assessment two years later (Time 2), along with an anxiety-by-ASD interaction term to determine the potential multiplicative effect of these co-occurring conditions on RRBs.ResultsResults identified a significant interaction between ASD and anxiety symptom severity at the initial assessment that predicted elevated sensory-motor RRBs two years later. Increased sensory-motor RRBs were predicted by elevated ASD symptoms only when anxiety symptom severity was low. Likewise, increased sensory-motor RRBs were predicted by elevated anxiety symptoms only when ASD symptom severity was low. Interestingly, this relationship was isolated to Sensory-Motor RRBs, with evidence that it could also apply to total RRBs.ConclusionsFindings suggest that ASD and anxiety exert independent and differential effects on Sensory-Motor RRBs when at high severity levels and a multiplicative effect when at moderate levels, which has important implications for early and targeted interventions.

The moderating role of protective factors in shift work disorder and health outcomes: A cross-sectional study

ABSTRACT This study investigated whether sleep-specific (e.g. chronotype) and traditional (e.g. resilience) protective factors were associated with reduced shift work disorder (SWD) risk and explored their role as moderators in the relationship between SWD risk and health. Shift workers (n = 126) participated in a cross-sectional study evaluating SWD risk (i.e. low vs. high; SWD-screening Questionnaire), mental health (Patient Health Questionnaire-9; Generalized Anxiety Disorder Questionnaire-7), physical health (Subjective Health Complaints Inventory), sleep (Pittsburgh Sleep Quality Index; Insomnia Severity Index; Epworth Sleepiness Scale), and protective factors (Resilience Scale; Social Provisions Scale; Survey of Perceived Organizational Support; Short Impulsive Behavior Scale; Circadian Type Inventory; reduced-Morningness-Eveningness Questionnaire). Logistic regressions revealed lower sleep languidity was associated with reduced odds (OR = 0.88 [0.79,0.96]) for having high SWD risk. Multiple regression analyses showed in shift workers with high social support or morningness, having high SWD risk was not associated with increased depression symptoms, or insomnia severity and poor sleep quality, respectively. Finally, in those with high or medium levels of perceived organizational support, high SWD risk was not associated with increased gastrointestinal and allergy complaints. Longitudinal research with larger samples is needed to confirm the moderating role of protective factors in the relationship between SWD risk and health.

Psychometric properties of the Persian version of the Impulsive Behavior Scale of Barratt on pre-hospital personnel

Introduction: Impulsivity means acting with the least thought towards future behaviors or acting based on thoughts that are not the best option for a person or others. This study was conducted to investigate psychometric properties of the Persian version of the Impulsive Behavior Scale (IBS) of Barratt on pre-hospital personnel of Shiraz University of Medical Sciences in 2023. Materials and Methods: This methodological study was conducted 18 pre-hospital emergency centers of Shiraz University of Medical Sciences during 2022-2023. In this study, the Persian version of the IBS has been used. Face and content validity of the scale in this study was confirmed using qualitative and quantitative methods, and construct validity was confirmed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The reliability of the questionnaire was calculated by Cronbach's alpha and intra-class correlation coefficient (ICC) for each field and the scale. Results: The IBS had three unplanned, motor and attentional subscales with 23 items and the varimax rotation showed variance of 52.06%. In CFA, root mean square error of approximation (RMSEA) was equal to 0.093 and normalized fit index (NFI), comparative fit index (CFI), goodness of fit (GFI) and incremental fit index (IFI) were higher than 0.9. Cronbach's alpha coefficient in the scale was 0.85%, and the intra-subject correlation coefficient (ICC) was 0.84%. Conclusion: The study results showed that the scale for pre-hospital personnel had the required validity and reliability, and it can be used for the impulsive behavior in pre-hospital personnel.

Motor phenotypes associated with genetic neurodevelopmental disorders.

There is a growing number of monogenic disorders implicated in neurodevelopmental disorders (NDDs), including autism spectrum disorder and intellectual disability. Motor impairment is frequently seen in these disorders, although not clearly defined. We aimed to characterize the motor phenotype of genetic NDDs. We analyzed data from Simons Searchlight, collecting information on patients with genetic NDDs. Data analyzed included Vineland Adaptive Behavior Scales Second Edition (Vineland-II) motor standard scores, motor milestones and tone abnormalities. In total, 959 patients with 57 genetic disorders were included. Disorders associated with Vineland-II motor standard score <56 included GRIN2B-related disorder (mean standard score = 53.5), HNRNPH2-related disorder (mean standard score = 55.8) and SCN2A-related disorder (mean standard score = 49.9). The only genetic condition with a mean age of sitting unsupported ≥18 months was GRIN1-related disorder (mean age = 26.3 months). Genetic conditions with a mean age of walking independently ≥36 months included CTNNB1-related disorder (mean age = 37.4 months) and HNRNPH2-related disorder (mean age = 41.9 months). Tone abnormalities included hypotonia in 83% (577/696), hypertonia in 16% (112/696), a diagnosis of cerebral palsy (CP) in 10% (73/696) and a diagnosis specifically of spastic CP in 3% (23/696). Patients with genetic NDDs have a spectrum of motor impairment, which warrant further characterization.

Unraveling the corrosion behavior and corrosion scale evolution of N80 steel in high-temperature CO2 environment: The role of flow regimes

During CO2 transportation and storage, metal equipment such as oilfield pipelines suffers from severe CO2 corrosion, especially in harsh downhole injection equipment. In this study, we investigated the corrosion behavior of oil well tubing in a high-temperature, high-pressure (HTHP) CO2-containing environment. The evolution of the corrosion scale was also examined under different flow regimes. The results reveal a lower corrosion rate at 150 °C compared to 80 °C under different flow regimes, with localized corrosion intensifying as temperature and rotational speeds (vrs) increase. The temperature also induces the corrosion scale conversion of aragonite-type CaCO3 (80 °C) to calcite-type CaCO3 (150 °C). Specifically, the variation of the corrosion rate and the corrosion scale evolution can be attributed to the vortices within the reactor. The intact vortex cells enhance mass transfer while also promoting nucleation and growth of CaCO3. However, when vrs exceeds the critical Reynolds number, the vortex cells are disrupted, resulting in viscous dissipation and a reduced corrosion rate.

Nurse‐Authored Patents and Their Influencing Factors Analysis Among Oncology Nurses Based on the Structural Equation Model

ABSTRACTAimsThis study analysed the status of nurse‐authored patents and their influencing factors. In particular, this study examined the effects of nurses' innovative behaviour and creative self‐efficacy on nurse‐authored patent output via structural equation modelling (SEM).DesignA descriptive cross‐sectional study.MethodsNurses were recruited from one tertiary cancer hospital in Beijing, China. Among them, 352 oncology nurses completed the online versions of the Nurse Innovative Behavior Scale and Creative Self‐Efficacy Scale in 2023.ResultsWe collected a total of 332 valid questionnaires. Fifty‐seven (17.2%) nurses had 1–3 patents, and only 6 (1.8%) had more than three patents. The final model revealed a chain reaction between creative self‐efficacy, innovation behaviour and nurse‐authored patent output (χ2 = 11.962, df = 7, p = 0.102). Significant differences were observed in the number of nurse‐authored patents and based on age, educational profile, professional title, length of service, position, participation in science and technology innovation training, and experience in project presentation (all p &lt; 0.05).ConclusionNurses still play a minor role in the field of medical technology innovation. It is necessary to promote innovative behaviour among nurses and improve their creative self‐efficacy in terms of innovation.ImpactDeveloping intervention strategies to encourage nurses to pursue clinical innovations is crucial for nursing managers and technological innovation promoters.

Cognitive, adaptive and daily life functioning in adults with 22q11.2 deletion syndrome

Background 22q11.2 deletion syndrome (22q11.2DS) is associated with cognitive impairments and an increased risk of psychopathology. Most of the research has been conducted in children and adolescents, although the majority of affected individuals live well into adulthood. Hence, limited data are available on functional outcomes in adults. Aims To provide more insight in cognitive and adaptive abilities, and daily life functioning (marital status, living situation and work situation) in adults with 22q11.2DS. Method This retrospective study included 250 Dutch-speaking adults (16–69 years) with 22q11.2DS from three sites in The Netherlands and Belgium. Data on full-scale IQ (FSIQ) scores (assessed with the Wechsler Adult Intelligence Scale), adaptive functioning (assessed with the Vineland Adaptive Behavior Scale II), and functional outcomes including marital status, living and work situation were systematically collected from clinical files. In addition, we examined predictors of adaptive functioning. Results The majority of individuals in our adult sample demonstrated a low level of adaptive functioning (65%). In contrast to previous findings in children and adolescents, the majority functioned at an intellectual disability level (56%). Male sex, lower FSIQ and autism spectrum disorder were predictors of lower adaptive functioning (P = 0.016, P &lt; 0.001 and P = 0.16, respectively). Conclusions These results suggest that low levels of cognitive and adaptive functioning are common in adults with 22q11.2DS. Future longitudinal and multicentre studies including older patients (&gt;40 years) are needed to further investigate cognitive and adaptive trajectories and their interactions with physical and psychiatric comorbidities.

Mediating effect of Felt obligation between Inclusive leadership and Caring behavior of Chinese nurses

PurposeIt aims to validate the mediating role of felt obligation between inclusive leadership and the caring behavior of clinical nurses using a structural equation model. MethodsAll of the nurses were investigated with the general Information Questionnaire, Caring Behavior Scale, Felt Obligation Scale and Inclusive Leadership Questionnaire. AMOS 21.0 was used to construct the structural equation model and analyze the mediating effect of felt obligation, and Bootstrap method was used to test the mediating effect model. ResultsThe total scores of caring behavior, felt obligation and inclusive leadership were 125.25±18.31,21.38±3.36 and 38.04±6.56 respectively. Felt obligation played a partial mediating role in the relationship between inclusive leadership and caring behavior of nurses, and the mediating effect accounted for 43.5%. ConclusionsFelt obligation plays a partial mediating effect between inclusive leadership and caring behavior of nurses. Nursing managers can adopt the leadership concept of inclusive leadership to enhance the level of felt obligation of nurses, so as to better improve the caring behavior of nurses.

Development and validation of the Forms and Functions of Aggressive Behavior Scale.

Preventing aggression is a global social issue that warrants additional research with up-to-date measures. Aggressive behaviors manifest in several ways, and the proper assessment should capture its multidimensional nature. We developed the Forms and Functions of Aggressive Behavior Scale (FFABS) to capture the field's current multidimensional understanding of aggression, including its forms (physical, verbal, and relational) and functions (proactive and reactive). Across three studies (N = 1388), we validated the factor structure of the FFABS, obtained partial scalar measurement invariance for males and females, and demonstrated consistent patterns with theoretically related stable constructs and with behavioral measures of inhibitory control and aggressive behaviors, establishing convergent and discriminant validity. We discuss the findings, limitations, practical implications, and future research directions.

Pengaruh Komitmen Afektif terhadap Organizational Citizenship Behavior (OCB) pada Karyawan di Samarinda

Organizational Citizenship Behavior (OCB) is a voluntary behavior that is visible and observable that is based on dominant motives or values and can be based on rewards and punishments that come from external sources. One of the factors that influences Organizational Citizenship Behavior (OCB) is affective commitment. This study aims to examine the Effect of Affective Commitment on Organizational Citizenship Behavior (OCB) on employees in Samarinda. The approach used in this study is a quantitative approach. The data collection technique uses a Likert scale with a questionnaire distributed via Google Form to 100 respondents online. This study uses two scales, namely the Affective Commitment scale and the Organizational Citizenship Behavior (OCB) scale. Data analysis uses simple linear regression using Statistical Product and Service (SPSS) with significance values of .001 (p .005), which indicates a significant influence. The coefficient of determination (R²) of .710 or 71% indicates that affective commitment has an influence on Organizational Citizenship Behavior (OCB) on employees in Samarinda.