Correlation Model Research Articles

Privacy-Preserving Fingerprinting Against Collusion and Correlation Threats in Genomic Data

Sharing genomic databases is critical to the collaborative research in computational biology. A shared database is more informative than specific genome-wide association studies (GWAS) statistics as it enables do-it-yourself calculations. Genomic databases involve intellectual efforts from the curator and sensitive information of participants, thus in the course of data sharing, the curator (database owner) should be able to prevent unauthorized redistributions and protect genomic data privacy. As it becomes increasingly common for a single database be shared with multiple recipients, the shared genomic database should also be robust against collusion attack, where multiple malicious recipients combine their individual copies to forge a pirated one with the hope that none of them can be traced back. The strong correlation among genomic entries also make the shared database vulnerable to attacks that leverage the public correlation models. In this paper, we assess the robustness of shared genomic database under both collusion and correlation threats. To this end, we first develop a novel genomic database fingerprinting scheme, called Gen-Scope. It achieves both copyright protection (by enabling traceability) and privacy preservation (via local differential privacy) for the shared genomic databases. To defend against collusion attacks, we augment Gen-Scope with a powerful traitor tracing technique, i.e., the Tardos codes. Via experiments using a real-world genomic database, we show that Gen-Scope achieves strong fingerprint robustness, e.g., the fingerprint cannot be compromised even if the attacker changes 45% of the entries in its received fingerprinted copy and colluders will be detected with high probability. Additionally, Gen-Scope outperforms the considered baseline methods. Under the same privacy and copyright guarantees, the accuracy of the fingerprinted genomic database obtained by Gen-Scope is around 10% higher than that achieved by the baseline, and in terms of preservations of GWAS statistics, the consistency of variant-phenotype associations can be about 20% higher. Notably, we also empirically show that Gen-Scope can identify at least one of the colluders even if malicious receipts collude after independent correlation attacks.

Meso/Microscale Parameter Correlation Model of Sandstone Based on the Hoek–Brown Criterion and Parallel Bond Model

Meso/Microscale Parameter Correlation Model of Sandstone Based on the Hoek–Brown Criterion and Parallel Bond Model

Leaf area estimation based on ANFIS using embedded system and PV panel

Leaf area is one of the important parameters for plant canopy development. It is used as an indicator closely related to plant growth in several studies on plant production. However, most leaf area meters used today are costly and rely on human observations. This situation may be limiting for researchers in terms of having proper leaf area measuring devices. The reliance on human-focused measurements leads to human errors. Digital scanners and cameras, digital image processing-based estimation methods, paper weighing, grid counting, regression equations, width and height correlation models, planimeters, laser optics, and handheld scanners can be used to determine leaf area. However, some of these methods are expensive and unnecessary for simple studies. Therefore, this study aims to design and implement an embedded system with a simpler, cheaper alternative to the currently used methods and devices, minimizing human errors. The proposed embedded system serves as a tool for measuring leaf area using a photovoltaic panel (PV) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). In the study, geometric shapes with known areas are used as the learning data, and real plant leaves with known areas are used in the testing process. As a result, the prediction made by ANFIS is observed to have an accuracy of R2 = 0.99.

A COMPUTER-AIDED BRAIN GLIOMA IDENTIFICATION USING MRI BASED TEXTURE ANALYSIS

Brain gliomas are deadly tumors that are discovered after a stressful, lengthy, and difficult procedure. Radiology is a broad and varied field that detects brain tumors, but interpreting radiological pictures of the brain needs advanced training, experience, and subject-matter expertise. The endeavor is challenging due to the wide variation in brain tumor tissues among individuals and similar cases within normal tissues. Magnetic resonance imaging (MRI)-based computer-aided biomedical image processing solves the challenges associated with brain tumor localization and identification while simultaneously addressing the shortage of qualified radiologists. This study proposes a computer-aided brain glioma identification (CABGD) model for brain glioma identification using the texture analysis of brain MRIs. The proposed model makes use of machine learning classifiers and brain MRI data. There were 200 MRIs of both normal and glioma brains in the experimental dataset. Firstly, the MRI dataset was pre-processed to crop the MRIs, size equalization, and gray-level conversion. Next, noises were removed by applying filters. Two ROIs of the sizes (10 ×10) were taken on each MRI after the tumor region was segmented. After extracting COM texture features from each ROI, thirty optimal features were obtained through a compound supervised feature selection, blend of Fisher (FSHR), probabilistic model of error (POE), average correlation (AVC), and mutual information (MUI). The optimal feature brain MRI dataset was classified into glioma and normal brain by applying machine learning classifiers named Bayas Net (BN), logistic model tree (LMT), and partial decision tree (PART); the classification results of the NB, LMT, and PART classifiers were 79.75%, 82.75, and 85%, respectively.

An Analysis of Social Networking Sites in Developing Electronic Word of Mouth and Brand Loyalty

The purpose of this article was to examine the role of social networking sites in fostering electronic word-of-mouth and enhancing brand loyalty in Pakistan. The study initially aimed for a sample size of 384 but received 370 completed questionnaires. After eliminating 15 responses due to aberrant findings, 355 questionnaire answers were analyzed, resulting in a response rate of 92.44 percent. Data were gathered by using an electronic survey questionnaire and analyzed with SPSS to test the proposed model for normality, reliability, frequency tables, standard deviation, mean, and correlation. The findings indicated that social networking sites, along with social networking site rewards and self-image, significantly boosted brand loyalty by facilitating electronic word of mouth and brand commitment. This research provides valuable insights into the effectiveness of social networking sites in strengthening customer loyalty through enhanced online engagement and communication. These findings are particularly significant for marketers and businesses aiming to leverage social media platforms to build stronger, more loyal customer bases.

Hubungan Antara Kepemimpinan Instruksional Kepala Sekolah, Kompetensi Profesional Guru, Motivasi Erprestasi, dan Kinerja Guru SDN di Kecamatan Murung Pudak Kabupaten Tabalong

The aim of this research is to analyze the direct and indirect relationship between the principal's instructional leadership, professional competence, achievement motivation and the work discipline of SDN teachers in Murung Pudak District, Tabalong Regency. The method used is quantitative descriptive research using a correlational path analysis model to analyze relationship patterns between variables. The research population was 280 teachers from 24 elementary schools in Murung Pudak District and 143 respondents as research samples using the Proportionate Random Sampling technique and the proportional allocation formula. Data collection uses questionnaire instruments and data analysis uses descriptive analysis, classical assumption testing, hypothesis testing and path analysis. results of the analysis of the regression coefficient values for the principal's instructional leadership variable with teacher performance were 0.421, the professional competency variable with performance was 0.330, the achievement motivation variable with performance was 0.256, the principal's instructional leadership variable with achievement motivation was 0.485, the professional competency variable with achievement motivation was 0.485. 0.437, the principal's instructional leadership variable with performance through achievement motivation is 0.124 and the professional competency variable with performance through achievement motivation is 0.112. Conclusion of this research is that the principal's instructional leadership variables, professional competence, achievement motivation and performance of SDN teachers in Murung Pudak District, Tabalong Regency are all in the high category. Keywords:Instructional Leadership, Motivation, Professional Competence, Performance.

The Relationship Between Trust in Principal and Teacher Voice

This study aims to determine the relationship between trust in principal and teacher voice according to teachers' perceptions. This descriptive study is designed in the correlational survey model, one of the quantitative research designs. The study's target population consists of 2150 teachers working in primary, secondary and high schools in Bolu city centre. The study sample consists of 342 teachers determined by simple random sampling method. Personal information form, trust in principal scale and teacher voice scale are used to obtain data. Since the collected data do not show a normal distribution, non-parametric tests are used for the study. According to the study results, teachers' perceptions of trust in principal and teacher voice are at a high level and as teachers' perceptions of trust in principal increase, their perceptions of teacher voice change in the same direction. The study offers some significant implications for both principals and teachers.

Postural and Lumbopelvic Control: Crucial Factors in the Functionality of Patients with Low Back Pain-A Descriptive Cross-Sectional Study.

Background: Low back pain (LBP) is one of the most prevalent musculoskeletal disorders in adults worldwide. Alterations in postural and lumbopelvic control and functionality appear to be determining factors in its resolution. Methods: A cross-sectional study was performed. Patients with LBP were enrolled. Lumbar pain; postural control (PC), total area of the center of pressure (TACOP), and the velocity of the center of pressure (VCOP); lumbopelvic control (LPC); and functionality were evaluated. Statistical tests were implemented to determine differences between sex and age and correlation models among the variables. Results: Thirty adult patients with LBP were analyzed. A strong relationship was found between pain and functionality [r = 0.64; p < 0.001]. A moderate relationship was found between pain and TACOP [r = 0.395; p = 0.031]. A moderate relationship was observed between TACOP and functionality [0.413; p = 0.023] and between LPC and TACOP [r = 0.416; p = 0.001]. Conclusions: This study demonstrates the significant impact of LBP on postural control, lumbopelvic control, and functionality. These results highlight the importance of addressing postural and lumbopelvic control in LBP treatment. No significant differences based on gender and age were found, but all clinical variables differed significantly between the LBP and control groups, underscoring the unique impairments associated with LBP.

Organizational Commitment in Relation to Occupational Stress, Work-Family Conflict, and Work Ethics among Bureau of Jail Management and Penology Personnel

Organizational commitment is the psychological bond between employees and their employer, influencing their choice to stay or leave the organization. Three exogenous variables were utilized to generate the best-fit model: occupational stress, work-family conflict, and work ethics. The data were gathered from 400 jail personnel in Region 11, Philippines. Descriptive correlation and structural equation models were utilized as the study design. Further, this study adopted standardized instruments and gathered the data through online platforms in consideration of the healthy protocol of Jails in the adversities of COVID-19. Initially, analysis using descriptive statistical tools, namely mean, standard, and deviation, was utilized, followed by the inferential analysis of data such as Pearson r, multiple regression analysis, and structural equation modeling (SEM). Results revealed that occupational stress is moderate means it sometimes manifests, work-family conflict is moderate means it is sometimes felt, work ethics is very high means it is always observed, and organizational commitment is high means it oftentimes manifests. Moreover, there are links between occupational stresses, work ethics to organizational commitment; however, work-family conflict is not significantly correlated to organizational commitment. The test of influence also reveals that occupational stress and work ethics influence organizational commitment among BJMP personnel. In table 9, model 5 is the best-fit model, this model excludes work ethics and reveals that occupational stress and its correlation with work-family conflict is significantly influencing organizational commitment. Hence, these two factors significantly influence or predict the level of organizational commitment within the organization.

Does Grit and Perceived Social Support Predicts Adolescents' Future Expectations in COVID 19 Pandemic?

The purpose of this study is to determine the level of grit and perceived social support in predicting adolescents' future expectations during the pandemic period. The sample of the research conducted with the correlational model consisted of 573 high school students. Three scales were used together with the demographic information form created by the researchers to collect the data. The results show that there is a positive and significant relationship between positive future expectations and grit, and there is also a positive and significant relationship between positive future expectations and perceived social support. Finally, it was concluded that grit and perceived social support significantly predicted positive future expectations, while grit predicted positive future expectations at a higher level than perceived social support. These findings suggest that positive future expectations are associated with grit and perceived social support. Practitioners who want to positively influence adolescents' future expectations can assist them in these areas.

Towards in vitro – In vivo correlation models for in situ forming drug implants

In vitro-In vivo correlation (IVIVC) is a main focus of the pharmaceutical industry, academia and the regulatory sectors, as this is an effective modelling tool to predict drug product in vivo performance based on in vitro release data and serve as a surrogate for bioequivalence studies, significantly reducing the need for clinical studies. Till now, IVIVCs have not been successfully developed for in situ forming implants due to the significantly different in vitro and in vivo drug release profiles that are typically achieved for these dosage forms. This is not unexpected considering the unique complexity of the drug release mechanisms of these products. Using risperidone in situ forming implants as a model, the current work focuses on: 1) identification of critical attributes of in vitro release testing methods that may contribute to differences in in vitro and in vivo drug release from in situ forming implants; and 2) optimization of the in vitro release method, with the aim of developing Level A IVIVCs for risperidone implants. Dissolution methods based on a novel Teflon shape controlling adapter along with a water non-dissolvable glass fiber membrane (GF/F) instead of a water dissolvable PVA film (named as GF/F-Teflon adapter and PVA-Teflon adapter, respectively), and an in-house fabricated Glass slide adapter were used to investigate the impact of: the surface-to-volume ratio, water uptake ratio, phase separation rate (measured by NMP release in 24 h post injection in vitro or in vivo), and mechanical pressure on the drug release patterns. The surface-to-volume ratio and water uptake were shown to be more critical in vitro release testing method attributes compared to the phase separation rate and mechanical pressure. The Glass slide adapter-based dissolution method, which allowed for the formation of depots with bio-mimicking surface-to-volume ratios and sufficient water uptake, has the ability to generate bio-relevant degradation profiles as well as in vitro release profiles for risperidone implants. For the first time, a Level A IVIVC (rabbit model) has been successfully developed for in situ forming implants. Release data for implant formulations with slightly different PLGA molecular weights (MWs) were used to develop the IVIVC. The predictability of the model passed external validation using the reference listed drug (RLD), Perseris®. IVIVC could not be developed when formulations with different PLGA molar ratios of lactic acid to glycolic acid (L/G) were included. The present work provides a comprehensive understanding of the impact of the testing method attributes on drug release from in situ forming implants, which is a valuable practice for level A IVIVC development.

Examination of 21st Century Learning Skills and Perceived Empathetic and Social Self Efficacy Skills of Preservice Teachers

The importance of 21st century skills have been increasing. These skills are effective in adaptation of an individual to society. Self efficacy of an individual could influence gaining of these skills. Perceived social self efficacy of teachers effects teaching attitudes and behaviors. It also has an affect on students’ learning motivations. The aim of this study is to investigate the relationship between 21st century skills of and perceived empathetic and social self efficacy of preservice teachers. The research is conducted in correlational survey model. 179 preservice preschool teachers were participated in the research. The data obtained from Personal Information Form, 21st Century Learning Skills and Perceived Empathetic and Social Self Efficacy scales by means of Google Form. Independent t-test, one-way ANOVA analysis and Pearson correlation were used to analyze. While there was a statistically significant difference according to being only or first child in perceived social self efficacy dimension, there was not statistically significant difference according to age, class, GPA and education level of parents. There was not statistically significant difference in innovativeness skills according to age, class, being first or only child, GPA and education level of parents. Except innovativeness and perceived social self-efficacy skills sub-dimensions, there is positive correlation between all dimensions.

Investigation of Secondary School Students’ Social-Emotional Learning and Friendship-Making Skills in Terms of Various Variables

Social and emotional development is the child’s ability to express himself, establish relationships, recognize himself, adapt to his social environment, and restrain his emotions. Because of this situation, developing children’s social and emotional learning skills is important in increasing their academic success, improving their friendship-making skills in the social environment, developing positive peer relationships, and improving the relationships established in the family environment. This research also aims to examine the social-emotional learning abilities of secondary school students, their friendship making skills with age, gender, classroom, daily phone and computer usage time, and their ability to use digital technologies variables. A sampling of this research’s universe (n = 415) and sample (n = 380) were students studying in seventh and eighth grades at secondary schools in the Kartal district of Istanbul. In this research using the correlational survey model, the data was analyzed in three stages. İt has been determined with a descriptive relational/related model found that social and emotional learning levels increased and that male students had higher social-emotional and relationship-making skills than female students; less daily phone use was higher than students with high social-emotional and friendship-making skills. Finally, secondary school students are becoming more and more able to relate as the level of social-emotional learning increases. Research improving the status of students at a disadvantage in social and emotional learning in this regard will offer positive contributions to developing their relationship skills.

Time scale effect of magnetic ferric oxide modified biochar in-situ remediation of arsenic-contaminated paddy soil

The ferric oxide (Fe3O4)-impregnated magnetic mulberry branch biochar (MBC) was prepared, and a long-term incubation trial was conducted to assess its efficiency in the remediation of As-contaminated soil. The changes in soil physicochemical properties [pH, dissolved organic carbon (DOC), soil organic matter (SOM), and electrical conductivity (EC)], soil nutrient elements, soil enzymes, soil bacterial community structure, and biodiversity at four different doses of MBC (1 %, 3 %, 5 %, and 7 %, wt%) across three aging periods (30, 90, and 180 d) were revealed. The results showed that the residual state of As increased by 161.4 % after 180 day of incubation with 5 % MBC. Spearman correlation and random forest model analyses revealed that available nitrogen had the highest contribution to the arsenic passivation process in soil. The addition of 5 % MBC significantly altered the bacterial abundance and composition in the soil. Actinobacteria, Proteobacteria, Chloroflexi, Bacteroidetes, and Acidobacteriota were identified as the predominant bacteria at the phylum level in all treated groups. The visualizations of soil bacterial co-occurrence networks over different passivate periods indicated more cooperative mutualism and complex interactions from day 30–180. After MBC was added to the soil, the arsenic toxicity was reduced with increasing aging time through bacterial community succession and co-occurrence networks. Overall, MBC facilitated the conversion of available arsenic by influencing the physicochemical factors and microbial community structure of the soil, thus reducing arsenic toxicity. MBC is a promising material for remediating arsenic-contaminated paddy soils.

MODELING THE FACTORS INFLUENCING SECONDARY STUDENTS’ PERFORMANCE IN STEM SUBJECTS

STEM education plays a key role in influencing and orienting students' interests towards STEM fields and careers. This influence is multifaceted, involving not only STEM content and experiences but also teachers, schools, and personal factors. The purpose of this study is to explore the factors impacting the academic performance of 951 tenth grade students in STEM subjects (physics, chemistry, biology, mathematics, and information technologies) who are attending public and private schools in two provinces of Turkey. Using a correlational research model, the study assessed how students' personal characteristics, teacher effectiveness and school characteristics affect achievement in STEM courses. Data were collected using the ‘Factors Affecting STEM Achievement Questionnaire (FA-STEM-A)’, a 20-item questionnaire divided into three sub-dimensions. Analyses focused on the relationships between student characteristics, teaching quality, school infrastructure and STEM performance. Structural equation modelling revealed that positive student characteristics, especially fondness for STEM subjects and confidence in STEM abilities, moderately increase achievement. In contrast, negative factors attributed to teachers and schools, such as inadequate classroom activities, lack of educator expertise, inadequate technological resources, and large class sizes, hindered student performance. These findings emphasize the important influence of both inherent student qualities and external educational conditions in determining STEM education. Keywords: STEM achievement, secondary students, STEM subjects, structural equation modeling

Influence Of Good Governance on Employee Satisfaction in Faith-Based Higher Educational Institutions: The Mediating Role of Policy Management

The ever-increasing role of employee satisfaction in the survival and success of higher educational institutions points towards a strong emphasis on good governance. This study examined the mediating role of policy management on the relationship between good governance and employee satisfaction. Two hundred and sixty-eight respondents participated in the study, representing the population of Faith-Based Higher Educational Institutions in the (AHEI's) Philippines. The descriptive, correlational, regression, t-test, and structural equation modeling techniques were used to analyze the data. The results exhibit strong implementation of good governance, high levels of employee satisfaction, and effective policy management as perceived by the employees. Moreover, the study found a positive correlation between good governance, employee satisfaction, and policy management. It was also discovered that the sex, marital status, educational attainment, and salary of the respondents do not moderate the influence of good governance on employee satisfaction. Finally, the findings also revealed that policy management partially mediates the relationship between good governance and employee satisfaction.

Heat transfer enhancement characteristics of sinusoidal corrugated tubes fabricated via laser powder bed fusion

Laser powder bed fusion (LPBF) has emerged as a powerful tool to develop heat transfer devices with higher efficiency. Corrugated tubes are commonly used components to achieve enhanced heat transfer in these devices. However, there still lacks a comprehensive study on the thermal-hydraulic performance of LPBF-fabricated corrugated tubes. In this work, we investigated the heat transfer enhancement characteristics of sinusoidal corrugated tubes (SCTs) fabricated via LPBF. SCTs with different amplitude-to-diameter ratios (A/D ratio) and wavelength-to-diameter ratios (S/D ratio) were designed and fabricated. The geometrical morphologies and surface roughness of LPBF-fabricated SCTs were characterized. Numerical simulations were performed to investigate the effects of A/D ratio and S/D ratio on the flow patterns and flow dynamics. A test system was developed to measure the pressure loss and thermal performance. Performance Evaluation Criterion were calculated to characterize the heat transfer enhancement. A/D ratio was found to have more significant impacts on the friction factor and Nusselt numbers than S/D ratio. Correlation models were developed to predict friction factors and Nusselt numbers based on the least square method. Mean prediction errors of ±3.3 % and ±5.3 % and maximum prediction errors of ±11.6 % and ±18.1 % were achieved for Nusselt numbers and friction factor, respectively.

Circulating immune and plasma biomarkers of time to HIV rebound in HIV controllers treated with vesatolimod.

Antiretroviral therapy (ART) for HIV-1 treatment has improved lifespan but requires lifelong adherence for people living with HIV (PLWH), highlighting the need for a cure. Evaluation of potential cure strategies requires analytic treatment interruption (ATI) with close monitoring of viral rebound. Predictive biomarkers for HIV-1 rebound and/or duration of control during ATI will facilitate these HIV cure trials while minimizing risks. Available evidence suggests that host immune, glycomic, lipid, and metabolic markers of inflammation may be associated with HIV-1 persistence in PLWH who are treated during chronic HIV-1 infection. We conducted post-hoc analysis of HIV controllers who could maintain low levels of plasma HIV-1 without ART in a phase 1b vesatolimod trial. Baseline and pre-ATI levels of immune, glycomic, lipidomic, and metabolomic markers were tested for association with ATI outcomes (time of HIV-1 rebound to 200 copies/mL and 1,000 copies/mL, duration of HIV-1 RNA ≤400 copies/mL and change in intact proviral HIV-1 DNA during ATI) using Spearman's correlation and Cox proportional hazards model. Higher levels of CD69+CD8+ T-cells were consistently associated with shorter time to HIV-1 rebound at baseline and pre-ATI. With few exceptions, baseline fucosylated, non-galactosylated, non-sialylated, bisecting IgG N-glycans were associated with shorter time to HIV rebound and duration of control as with previous studies. Baseline plasma MPA and HPA binding glycans and non-galactosylated/non-sialylated glycans were associated with longer time to HIV rebound, while baseline multiply-galactosylated glycans and sialylated glycans, GNA-binding glycans, NPA-binding glycans, WGA-binding glycans, and bisecting GlcNAc glycans were associated with shorter time to HIV rebound and duration of control. Fourteen bioactive lipids had significant baseline associations with longer time to rebound and duration of control, and larger intact proviral HIV-1 DNA changes; additionally, three baseline bioactive lipids were associated with shorter time to first rebound and duration of control. Consistent with studies in HIV non-controllers, proinflammatory glycans, lipids, and metabolites were generally associated with shorter duration of HIV-1 control. Notable differences were observed between HIV controllers vs. non-controllers in some specific markers. For the first time, exploratory biomarkers of ATI viral outcomes in HIV-controllers were investigated but require further validation.

Understanding Factors Affecting Fishers’ Wellbeing in the U.S. Virgin Islands through the Lens of Heuristic Modelling

Ongoing efforts to improve U.S. Caribbean fisheries management include increased consideration for human dimensions data and increased stakeholder input and engagement. Given the significant pressure that the local fisheries have sustained due to environmental degradation, climate change, storms and hurricanes, and overharvesting, combined with the critical data gaps that exist in both natural and human dimensions, it becomes particularly important to understand fishers’ perceptions and aspects influencing them to promote efforts that will maximize the wellbeing of these social-ecological systems. In this study, data collected through surveys with fishers in the U.S. Virgin Islands were used to develop a correlation model to test relationships between variables using a heuristic model, the Anthropic Impact Assessment Model (AIAM) as the basis. Findings support the application of heuristic models, such as the AIAM, to develop hypotheses and test relationships to understand complex fishery social-ecological systems. The most significant findings with implications for decision making in the region include support for considering fishers’ wellbeing as an indicator of ecosystem health and for using fishers’ local ecological knowledge in the management process, particularly under data-poor conditions, for information that can be used to better target outreach and education efforts, as well as more effective recovery plans to promote resilience and adaptation to environmental change, including the impacts of natural disasters. Results of this study and future analyses using similar approaches can be used to guide the incorporation of human dimensions data into the decision-making process in the U.S. Caribbean and elsewhere.

Investigation of the Relationship between Prosocial and Play Behaviors of 60-72 Months-Old Children Attending Preschool Education

This study was conducted to examine the prosocial behaviours and play behaviours of 60-72-month-old children attending preschool education and the relationship between these behaviours. For this purpose, the research was designed by adopting the correlational survey model. The sample of the study consisted of 300 children aged 60-72 months attending kindergartens in Turkey in the 2021-2022 academic year. "Penn Interactive Peer Play Scale-Teacher Form" and "Preschool Prosocial Behaviour Scale" were used in the study. It was determined that peer play behaviours differed statistically according to the variables of gender, age, parental education level, parental occupation, number of siblings, family income status and previous preschool education. Upon analyzing the prosocial skills of the children participating in the study, it was found that prosocial skills showed a statistically significant difference according to the variables of gender and previous pre-school education, but did not show a statistically significant difference according to the variables of age, parents' education level, parents' occupation, number of siblings and family income status. Another result of the study was that there was a positive relationship between children's prosocial behaviours and play interaction behaviours and a negative relationship between children's play disruptive behaviours.