8k Quantitative Data Analysis (SPSS and quality academic Writing) for Doctorate Dissertation

I have 2 SPSS data files (SAV and SPV) with that contain data collection information for two questionnaire (managerial and non-managerial) related to my paper. Data sets need to be modified for each to reflect no relationship for part of the 13 hypotheses declared in lit. review. I need to analyze this data using SPSS tools and techniques for the 13 hypotheses and provide evidence of no relationship for 4 hypotheses for non-managerial group and also no relationship for 2 hypotheses for the managerial questionnaire. That section should be around 8k (excluding SPSS tables in the appendix). Need SPSS support analysis and critical academic writing from your side regarding this part of analysis. Your quantitative data analysis chapter needs to contain for example - Introduction section: (to explain how you will measure research hypotheses and what tools and techniques you will use to provide relationship or no relationship between the variables inside each hypotheses. You can refer to literature to prove your selection (I have written most of introduction...needs review from your side) - Quantitative Research Findings: Here, I recommend to categorize your analysis in two groups (one for managerial and one for non-managerial). Then, for each category, you start analyzing data for each SPSS tools and technique (for example you can start with descriptive analysis and explain in this analysis your findings for the 13 hypotheses, then for linear regression and then you explain your analysis for the 13 hypotheses, and so on....) - Conclusion: Summarize your findings above and highlight no relationships found in your findings and provide academic references to support your stance). I will send you the executive summary of my work and the questionnaire templates also for you to understand the logic and structure of my work for you to write critically and academically your quantitative data analysis part. I need a PHD or DBA native English freelancer to work with me for this project. Service writings teams and non-English speaking freelancers are kindly requested NOT to apply and will not be accepted.