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Impact of Parenting Styles on Emotional Intelligence, Social Skills, and Mental Health in Adulthood
Aims: This study aimed to explore the association between the three main parenting styles: Authoritative, authoritarian and permissive/negligent and their effects on emotional intelligence, social skills and mental health in adulthood. The study attempted to determine if there were any specific parenting strategies that predicted better or worse social and psychological outcomes.
Method: The study consisted of 64 participants that used a self-report questionnaire to assess their perceived parenting style using The Parenting Style Inventory II (PSI-II), their emotional intelligence (EI)/social skills using the Trait Emotional Intelligence Questionnaire- Short Form (TEIQue_SF) and mental health using the General Health Questionnaire (GHQ-12). Two multiple regression analyses were run to assess the relationship between the three parenting styles and the two dependent variables: EI and mental health.
Results: The findings showed that authoritative parenting was a significant predictor of higher emotional intelligence which supports the literature that autonomy and emotional support foster better emotional outcomes. There was a non-significant relationship between authoritarian or permissive parenting and emotional intelligence. In addition, none of the three parenting styles showed any significant relationship with mental health, this suggests that other external factors may contribute to mental health alongside parenting such as: culture, genetics, and socio-economic status.
Conclusion: The study promotes the importance of authoritative parenting for better emotional intelligence. However, small sample size and a need for longitudinal research may help to understand the lasting effects of parenting on psychological health
Mate Value and Relationship Satisfaction in Dating Couples
Aims: Previous literature has looked at mate value and relationship satisfaction in a largely married sample. The current study examined the relationship between mate value and relationship satisfaction in, looked into any potential gender differences and sought to gain an insight on mate value as a predictor of relationship satisfaction in dating couples.
Method: A questionnaire was posted online where participants (n = 20) were able to partake. The questionnaire took roughly 6 minutes and consisted of the Røysamb Relationship Satisfaction Scale (RS10) and the Edlund and Sagarin Mate Value Scale.
Results: The results suggested that there was no correlation between mate value and relationship satisfaction amongst dating couples, there were no gender differences for relationship satisfaction and mate value and that duration of relationship in dating couples did not impact mate value or relationship satisfaction.
Conclusion: The findings of the current study provide a greater understanding into potential differences between married and unmarried couples in relation to mate value and relationship satisfaction. Findings may possess implications for how mate value could be examined in the future
Mind over Myths: Exploring the Public Endorsement of Mental Illness Misconceptions and their Associated Factors
Objectives: Research on the formation and persistence of misconceptions, particularly in relation to mental illness, highlights the need to explore the broader network of beliefs that collectively influence rational thinking. The present study investigated whether pseudoscientific beliefs, paranormal thinking and cognitive reflection each predict misconceptions about mental illness, and examined their endorsement rate among the general public.
Method: A total of 157 participants completed an online questionnaire examining their endorsement of mental illness misconceptions, as well as measures assessing their pseudoscientific beliefs, paranormal thinking and cognitive reflection. Preliminary analyses were carried out to account for the influence of several covariates (age, education, history of mental health diagnosis, religious and political affiliation), following a hierarchical multiple regression analysis using SPSS version 28.0.1.1.
Results: The findings of the present study support the hypothesis that higher levels of pseudoscientific thinking are positively correlated with increased misconceptions about mental illness and its treatment. Contrary to expectations, neither paranormal beliefs nor cognitive reflection significantly predicted the endorsement of mental illness misconceptions, thus rejecting these hypothesized associations. However, lower education levels emerged as a significant contributing factor.
Conclusion: These results emphasize the importance of addressing pseudoscientific beliefs in an effort to reduce misconceptions about mental illness. Improving the ability to differentiate between pseudoscience and evidence-based science, especially in earlier stages of education, may help prevent the formation of flawed inferential frameworks, thereby reducing susceptibility to misconceptions endorsement. This approach may subsequently contribute to a reduction in stigmatization and negative societal attitudes toward mental illness
An Investigation into Attitudes towards the Homeless in Irish Society
This current study sought to gain insight into the Irish publics attitudes towards the homeless. In addition, this present study aimed to determine if there was a difference between different demographics. Moreover, this research sought to apply the contact hypothesis to examine whether personal contact with the homeless population can impact the populations attitudes. The Attitudes towards the homeless inventory (ATHI) was administered to (n=142) through social media consisting of 11 questions on a Likert scale. This survey asked various questions regarding homelessness. Findings revealed that the younger group had less favourable attitudes towards the homeless compared to the older group. Females had more positive attitudes towards the homeless population. This study also found participants who have experienced homelessness scored significantly higher than participants who have not experienced homelessness. Findings also indicates that participants who knew someone who was homeless scored significantly higher than those who do not. There was a difference in socioeconomic status with higher than middle income scoring significantly lower than lower income and lower middle income. There was no difference in different levels of education. Findings adds to prior research in the Irish context. Results challenge previous literature that younger individuals would have more favourable attitudes. Findings also indicate that personal contact is important in shaping attitudes towards groups. However, further research should focus on how vicarious contact can influence broader social networks. This research has implications for stakeholders, awareness campaigns, homeless services, and housing
Evaluation of the Role of Metadata Management, Access Control and Data Lineage Capabilities in Indian IT Sector
The steep rise of the Indian IT sector has enhanced its volume, complexity and sensibility of data generated and computed every day. Data governance frameworks are indispensable to secure data for organizations since it has to be secured from privacy regulations and organizational compliance. Therefore, effective data governance is achieved using the metadata management, access control, data lineage capabilities. Metadata management organizes the data efficiently so that it can readily be retrieved and used (Dorai Surendar Chittoor, 2025). Critical business information is protected by access control mechanisms that deny access to non authorized people, and data lineage tracking is done to maintain transparency with regards to the movement and transformation of data through multiple systems
Healthcare Support Staff Attitudes Towards Older Adults
Ireland is experiencing a rise in the population of older adults with the improvement of health services and life expectancy. Ageism can negatively affect older adults and quality of care received. This study aimed to investigate ageism in healthcare support staff. The study also aimed to investigate if gender, age, duration of employment, education and occupation are associated with ageist attitudes. The study was conducted using a quantitative, cross-sectional approach. There were 48 participants recruited from a hospital in Ireland. Participants completed an online survey. Demographic and occupational information were collected. Ageism was assessed using the Fraboni Scale of Ageism. Nurses, MTAs and HCAs have positive attitudes towards older adults. Multiple regression analyses found ageism was not predicted by age, gender, occupation, educational achievement and duration of employment. Additional analyses resulted in no significant associations between ageism and education, duration of employment or age. Gender was also not associated with ageism. There were no significant differences in attitudes by occupation. Education, age, gender, occupation, duration of employment or occupation may not be predictive or associated with ageism. Possible implications for cultural research to be conducted on ageism, and longitudinal research is also required to further investigate the development of ageism
Investigating the Relationship Between Parenting Styles, Resilience and Emotional Intelligence in Adulthood
Current research has explored the lasting effects of parenting styles on children and adolescents’ resilience and emotional intelligence. Preliminary studies have examined how Parenting Styles, EI and Resilience parenting styles affect emotional intelligence and resilience in adulthood. This current study aimed to expand on the literature by investigating the relationship between parenting styles, emotional intelligence and resilience in adulthood. The hypotheses presented were that parenting styles would influence both emotional intelligence and resilience outcomes in adulthood and that there would be an association between emotional intelligence and resilience. Participants were recruited using convenience snowball sampling via social media (n=81). Participants completed online surveys including demographic information, The Parenting Styles and Dimensions questionnaire, The Connor-Davidson Resilience Scale and
The Davies Brief Emotional Intelligence scale. Results of the two multiple regressions found no statistically significant relationships between parenting styles and resilience. Results from the Pearson correlation found a significant association between emotional intelligence and resilience. This study suggests that the development of emotional intelligence and resilience is more complex and may be determined by life experiences across the lifespan as opposed to solely early childhood experiences, such as parenting styles of parents. The results also suggest emotional intelligence and resilience are closely related
Forecasting Ethereum Prices with Machine Learning, Deep Learning, and Explainable Artificial Intelligence Using Multi-source Market Articles and Hybrid Sentiment Analysis
The cryptocurrency market is widely regarded as one of the most volatile financial markets due to inconsistencies in its pricing factors. Despite this volatility, it continues to attract a large population of investors, many of whom incur significant losses. To address this challenge and support risk assessment for investors, users, and other stakeholders, this paper focuses on forecasting Ethereum prices by analyzing social media sentiment. The study gathers data from sources such as global news headlines and Reddit discussion forums, enhancing it with hybrid sentiment features derived from the VADER, BERT and TextBlob models. These sentiment insights are then correlated with Ethereums financial parameters to establish meaningful relationships within the data, which are used to train machine learning models. The study evaluates the predictive performance of Random Forest, Extreme Gradient Boosting, and Long Short-Term Memory models. Among these, Extreme Gradient Boosting demonstrated superior performance, effectively capturing complex relationships within the data and achieving an R-squared value of 0.982115. To further enhance the studys risk assessment capabilities, the concept of Explainable Artificial Intelligence (XAI) is employed to improve transparency and accountability in the model outcomes. Specifically, Shapley Additive Explanations (SHAP) are used to interpret the feature interactions within the Extreme Gradient Boosting model, thereby increasing its reliability and providing deeper insights into its decision-making process
Labour Exploitation: A Case of CSR Violation in Primark
The paper examines the discrepancy between the Corporate Social Responsibility (CSR) statements and real-life application of labour practices in fast fashion companies through a case study of Primark. Although the company has been reporting widely publicised efforts to address labour exploitation through such initiatives as “Primark Cares,” the brand is still being perceived as a labour abuser halting mainly in its supply chains. The study expounds on the impact of such contradictions on brand awareness, the trust of a stakeholder and customer loyalty (Tyler and Vachhani, 2021; Uddin et al. 2023).
Quantitative, positivist, and deductive approach to research was undertaken. The key data sources to be used in this research study are primary data obtained via the use of a Likert-based research questionnaire that will be carried out among the 64 employees of diverse levels in Primark. Regression, ANOVA, General Linear Modeling (GLM) are examples of statistical analyses that were carried out to test the relationships between CSR perceptions, labour ethics and brand outcomes.
The results also show that there is a high positive correlation between the implementation of CSR and brand reputation (R2 = .299, p = .001), whilst there is a much stronger negative impact of labour exploitation on credibility of CSR (R2 = .789, p 0.05) indicating consumer scepticism and price sensitivity. Trust between stakeholders, nonetheless, showed a positive correlation with strategic CSR practices (η² =.907, p =.012).
The research adds to academia about CSR in ethically sensitive fields, suggesting the use of participatory means, open communication, and independent checks as the ways to harmonize corporate messages with ethical treatment of labour (Nahid-Ull-Islam et al. 2025; Zervoudi et al. 2025)
Technology-Enabled International Business and Firm Performance: A Cross-Country Comparative Analysis Dissertation (MSCIB1)
Technological advancement has gained significance as a key component facilitating firms to engage in international business. Digital tools shape communication, transactions, market access and performance of the firms. This study investigated the role of technology in international business, focusing on the variations across economic contexts and how digital infrastructure influence firm-level outcomes. Adopting a pragmatic philosophy, the research employed a convergent mixed-methods design. Quantitative analysis was conducted using datasets from World Bank and World Economic Forum. This was complemented with systematic qualitative synthesis guided by grounded theory coding of recent scholarly literature. The study operationalised technology through measures such as broadband penetration, adoption of cloud technology, presence of data governance regulatory frameworks and digital platforms. The analysis revealed a pronounced global digital divide with near-universal connectivity in high-income regions such as 97.9% internet penetration in Northern Europe. This contrasted sharply with limited access in emerging economies like Eastern Africa (28.5%). The study further determined that country-level operational ecosystems determined the ability of a firm to leverage technology for international business. For instance, with international trade efficiency score of 92.3, Singapore’s environment was conducive for firms to expand globally. On the contrary, emerging economies like Pakistan (21.3) in international trade efficiency highlighted significant constraints for business to establish and expand internationally. The interconnectedness in country- and firm-level metrics implied weaknesses in one amplifies deficiencies in others which trap firms and particularly small and medium enterprises. The findings of the study implied that firms in developing economies need to navigate complex infrastructural and institutional constraints by calibrating technology adoption and market selection. Policymakers in emerging economies should implement holistic interventions such as integrated investment in both digital infrastructure and physical trade networks coupled with institutional reforms to streamline regulations. The interventions are critical in facilitating global expansion of firms