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Help me with ABSTRACT section. Detailed explanation needed. …
Help me with ABSTRACT section. Detailed explanation needed.
Here’s what I have so far:
Introduction
The mental health of individuals is an important factor in their overall wellbeing. Social support is one of the key factors that contribute to mental health, and it has been suggested that individuals with higher levels of social support have better mental health outcomes. This study seeks to investigate the relationship between social support and mental wellbeing by examining the effects of social support on mental health outcomes.
This study will draw on three psychological theories/models in order to examine the relationship between social support and mental wellbeing. These theories/models are the Social Support and Buffering Hypothesis, the Social Network Theory, and the Social Ecological Model. The Social Support and Buffering Hypothesis suggests that social support can buffer the negative effects of stress on mental health, while the Social Network Theory suggests that individuals with strong social networks have better mental health outcomes. Finally, the Social Ecological Model suggests that social support is one of the key factors influencing mental health at multiple levels, including the individual, family, community, and society.
This study will use a survey to examine the relationship between social support and mental wellbeing. The survey will be administered to a sample of individuals and will investigate the effects of social support on mental health outcomes. The results of this study will help to shed light on the importance of social support in promoting mental wellbeing.
Method
Design
This study used multiple linear regression analysis to estimate the relationship between the level of social support and mental wellbeing. The regression model will include three independent variables and one dependent variable. The purpose of this analysis is to identify the extent to which social support affects mental wellbeing. To examine the relationship between social support and mental wellbeing, the collected data was analysed using multiple linear regression analysis. The regression model was estimated using software such as SPSS. The model was checked for assumptions, and regression coefficients was interpreted to identify the strength and direction of the relationship between social support and mental wellbeing. The study was conducted in accordance with relevant ethical principles and guidelines. Participants were informed of the purpose of the study, and their confidentiality and anonymity is protected. Informed consent was obtained from all participants, and the study was approved by the relevant ethics committee. The data will be stored securely in accordance with relevant data protection laws and regulations. The study provides insights into the relationship of social support in mental wellbeing and possible need for interventions that address the barriers to accessing social support. The conclusion section summarises the key findings and their implications for mental wellbeing policy and practice. The limitations of the study were also discussed, and recommendations for future research were provided.
Participants
To recruit participants for the study, an online recruitment strategy was developed. The sample size was 90 participants, however 108 participants were recruited for the study. The formula used to calculate sample is N > 50 +8M, as recommended by Tabachnick and Fidell (2001). 78 participants were recruited through SONA platform, and 30 participants were recruited from sending out link to friends and family.
Materials
Recruitment materials has been posted on social media platforms to allow friends and family to take part, online forums on The Open University website, and SONA. Interested participants will be screened through an online survey. Participants need to be 18 years old and older.
Procedure
The survey was administered to participants through an online platform, Qualtrics and SONA platform. The survey included demographic questions and standardised measures of social support and mental wellbeing; to operationalise the measurements of data to facilitate the analysis, existing scales such as the WHOQOL-BREF and ISEL has been used. The survey was designed to elicit detailed information about participants’ experiences with social support. The survey data collection process began on the 31st March and finished on the 14th April.
Results
The results section of a research report summarises the findings of the study based on the data collected and analysed. In this case, the study investigated the relationship between social support and mental wellbeing using multiple linear regression analysis. Multiple Linear Regression (MLR) was used to analyse the relationship between social support and mental wellbeing. The assumptions of MLR were tested before conducting the analysis.
Descriptive Statistics
The descriptive statistics for each of the variables in the study are listed in the table below. The overall mean score for the mental wellbeing variable was 3.4302 with a standard deviation of 1.00391. The means for the appraisal support, belonging support, and tangible support variables were 3.9670, 3.5778, and 3.8019, respectively.
Correlations
The Pearson correlation coefficients between the independent variables and the dependent variable are presented in the table below. The correlation between overall mental wellbeing and appraisal support was -0.207, and this was significant (p = 0.017). The correlation between overall mental wellbeing and belonging support was -0.139, and this was not significant (p = 0.078). The correlation between overall mental wellbeing and tangible support was -0.181, and this was significant (p = 0.032).
Multiple Linear Regression
The results of the multiple linear regression analysis are presented in the table below. The model was significant (F (3, 102) = 10.74, p < 0.001). The coefficients for the appraisal support, belonging support, and tangible support variables were -0.167, 0.034, and -0.158, respectively. The adjusted R2 value of the model was 0.101, indicating that 10.1% of the variance in overall mental wellbeing could be explained by the independent variables. Cook's Distance The results of the Cook's distance analysis are presented in the table below. All of the cases had a Cook's distance value of less than 0.5, indicating that none of the cases had an excessive influence on the regression model. The results of this study suggest that there is a significant relationship between social support and overall mental wellbeing. Specifically, the findings indicate that appraisal support and tangible support are both significantly correlated with overall mental wellbeing. The results of the multiple linear regression analysis suggest that appraisal support and tangible support are both significant predictors of overall mental wellbeing, accounting for 10.1% of the variance in the dependent variable. No cases had an excessive influence on the regression model, suggesting that the results are reliable. Test of assumptions: Linearity: The relationship between the dependent variable (mental wellbeing) and the independent variable (social support) was found to be linear by examining the scatterplot. Normality: The residuals were approximately normally distributed, as seen in the Normal Q-Q plot. Homoscedasticity: The scatterplot of standardised residuals against predicted values showed that the variance of the residuals was approximately constant across all levels of the predictor. Discussion The purpose of this research was to evaluate the connection between having social support and mental wellbeing. According to the results of this research, there appears to be a considerable connection between having social support and mental wellbeing. Specifically, the findings suggest that both appraised support and tangible assistance have a substantial correlation with an individual's overall level of mental wellness. According to the findings of the multiple linear regression analysis, both appraised support and tangible support are important predictors of overall mental wellbeing. Together, these two types of support account for 10.1% of the variance in the variable that is being studied. The results of this research lend credence to the Social Support and Buffering Hypothesis, as well as the Social Network Theory and the Social Ecological Model. According to the Social Support and Buffering Hypothesis, having a strong social support system can help mitigate the adverse effects that stress can have on one's mental wellbeing. This theory is supported by the outcomes of this study, which indicate that both appraisal support and tangible support have a strong negative link with a person's mental wellbeing. This points to the fact that those who have higher amounts of social support tend to have better outcomes regarding their mental wellbeing. According to the Social Network Theory, people who have robust social networks are more likely to have positive outcomes for their mental health. According to the findings of this research, a significant association exists between evaluation support and tangible assistance for one's mental welfare. This points to the fact that those who have higher amounts of social support tend to have better outcomes regarding their mental wellbeing. In conclusion, the Social Ecological Model proposes that social support is one of the most important variables that influence mental health on a variety of levels, such as the individual, the family, the community, and society. This research lends credence to the idea that having a strong social network is an essential component of maintaining and improving one's mental health. According to the findings of this research, social support may have a sizeable bearing on the outcomes of one's mental health, and interventions that target the obstacles that stand in the way of one gaining access to social support may be useful in the quest to improve one's mental wellbeing. However, it is important to keep in mind that this study has a few limitations. To begin, the study included a limited number of participants, which means that the findings may not be applicable to a wider community as a whole. In conclusion, this research utilised self-report measures, which could have resulted in some degree of bias being introduced. In addition, extra aspects of one's life were not taken into consideration in this research, therefore its findings cannot be generalised. The limitations of this study should be addressed in subsequent research by employing a bigger sample size, investigating additional characteristics that may have an impact on mental wellbeing, and gathering data from a variety of different sources. In conclusion, the findings of this study give evidence that the degree of social support one receives has a major influence on the mental wellbeing outcomes that one experiences. According to the findings of this study, treatments that target the obstacles that stand in the way of individuals receiving social support could be advantageous in terms of increasing mental wellbeing. Conclusion The study aimed to investigate the relationship between social support and mental wellbeing using multiple linear regression analysis. The results of this study provide compelling evidence that social support has an impact on a person's mental wellbeing. In order to examine the association between social support and mental wellbeing while adjusting for other factors, multiple linear regression analysis was used. The research investigated many facets of social support and their effects on mental health outcomes, drawing on three psychological theories/models: the Social Support and Buffering Hypothesis, the Social Network Theory, and the Social Ecological Model. The study's findings show a substantial correlation between general mental health and both appraised support (perceived support from others) and tangible support (actual aid). This shows that people tend to have better mental health outcomes when they perceive greater amounts of support and practical help from their social networks. The results of the multiple linear regression analysis, which explained 10.1% of the variation in the dependent variable, provided further evidence in support of these conclusions by showing that both tangible and appraisal support were significant predictors of mental wellbeing. The Social Support and Buffering Hypothesis, which contends that social support may mitigate the detrimental effects of stress on mental wellbeing, is supported by these data. The study's findings provide empirical credence to this idea by indicating that having a supportive social network might lessen the negative effects of stress and promote mental wellbeing. The findings support the Social Network Theory, which contends that people with strong social networks often have better mental health outcomes. Further proof of the significance of social networks in fostering good mental wellbeing may be seen in this study's substantial association between social support and mental wellbeing. Additionally, the results of the research are in line with the Social Ecological Model, which contends that social support is a significant element impacting mental wellbeing at many levels, including the person, family, community, and society. The research emphasises the value of social support at these many levels and draws attention to the possible advantages of treatments that remove obstacles to social support availability. These treatments may increase people's access to social support networks by removing these obstacles, which would eventually result in better mental wellbeing outcomes. It's crucial to recognise the limits of this research, however. Because there were only 108 individuals in the study, it may be difficult to extrapolate the results to a broader population. Additionally, there is a chance of bias when using self-report measures to gauge social support and mental wellness since participants' answers could be impacted by their own beliefs or prejudices. The research did not take into account socioeconomic position or personality qualities, which are additional variables that could affect mental wellbeing. Future studies should make use of a range of measuring techniques, bigger and more varied sample sizes, and more factors that may affect mental health in order to overcome these constraints. In conclusion, the study's results provide solid support for the important connection between social support and mental wellbeing. The findings confirm the significance of social support in reducing stress's harmful effects and enhancing mental wellbeing outcomes. The ramifications of this study indicate the possible advantages of programs designed to remove obstacles to obtaining social assistance in order to improve mental wellbeing. Future research should work to address the limitations of this study and further our understanding of the intricate relationships between social support and mental health by taking a broad range of variables into account and using a variety of approaches. This research has implications for mental health policy and practice and offers possible insights into the connection between social support and mental wellbeing.
