Outline how you will operationalise the measurement of your data to facilitate your analysis, i.e. use existing scales, develop a scale or other. The Multidimensional Scale of Perceived Social Support (MSPSS) and the Interpersonal Support Evaluation List (ISEL) will be used to measure social support. Family, friends, and significant others are assessed as sources of social support. Symptom Checklist-90-Revised (SCL-90-R) and World Health Organization Quality of Life (WHOQOL-BREF) will be used to measure mental health. Mental health symptoms and overall quality of life are assessed using these measures. Self-reported questions will be used to collect demographic data, including age, gender, race/ethnicity, education, and income. Open-ended responses: Participants will be asked to provide detailed information about their experiences with social support, including types of support received, barriers to receiving support, and perceived effectiveness of different types of support. To identify themes and patterns in participants' experiences, qualitative content analysis will be used to analyse these responses. In order to ensure that the data is accurate and complete, it will be cleaned. In the case of missing data, multiple imputations will be used, as appropriate. In order to identify patterns and trends in the collected data, descriptive statistics, correlation, and regression analysis will be used. Participants' experiences with social support will be analysed using qualitative content analysis to identify themes and patterns. Research questions, hypotheses, and the conceptual framework of the project will be used to interpret the results. 2 Outline how you will operationalise the measurement of your data to facilitate your analysis, i.e. use existing scales, develop a scale or other. The Multidimensional Scale of Perceived Social Support (MSPSS) and the Interpersonal Support Evaluation List (ISEL) will be used to measure social support. Family, friends, and significant others are assessed as sources of social support. Symptom Checklist-90-Revised (SCL-90-R) and World Health Organization Quality of Life (WHOQOL-BREF) will be used to measure mental health. Mental health symptoms and overall quality of life are assessed using these measures. This is a detailed description of your study. As highlighted above, please focus just on the element of the study that includes the multiple linear regression. You have not included any items from the MSPSS, ISEL, SCL-90-R or WHOQOL- BREF at the end of this document. These three surveys are likely to be appropriate for your study but need to be reviewed before approval. The SCL-90-R is not an appropriate survey to include in your study as it is a Self-reported questions will be used to collect demographic data, including age, gender, race/clinical diagnostic tool. ethnicity, education, and income. Open-ended responses: Participants will be asked to provide detailed information about their experiences with social support, including types of support received, barriers to receiving support, and perceived effectiveness of different types of support. To identify themes and patterns in participants' experiences, qualitative content analysis will be used to analyse these responses. In order to ensure that the data is accurate and complete, it will be cleaned. In the case of missing data, multiple imputations will be used, as appropriate. In order to identify patterns and trends in the collected data, descriptive statistics, correlation, and regression analysis will be used. Please amend this statement and include the required items at the end of the document. Participants' experiences with social support will be analysed using qualitative content analysis to identify themes and patterns. Research questions, hypotheses, and the conceptual framework of the project will be used to interpret the results. Please explain briefly how you intend to make use of the demographic data in your study. This could be to monitor the representation of your sample or perhaps used as control variables in Multiple Linear Regression. You mention using multiple imputations for missing data - make sure you have read the scoring guide for each survey to make sure that you do not go above the missing data limit for each survey, which is often not more than 5% of missing data. Ensure all elements of your study are only using surveys and that all survey data collected can be analysed using Multiple Linear Regression. Please amend this section.