Ctrl C. Ctrl V.
Mahita v -
Hello and welcome back to my senior blog post! My post is a little shorter this week since I mostly just repeated the same methodology for my psychosocial category, and I didn’t want to bore you with repetition.
This week, I focused on cleaning my data for psychosocial support. To quickly clarify, psychosocial support refers to “the provision of emotional, social, and mental health assistance to individuals and communities facing stressful or challenging situations”. The questions I chose to include in my analysis from the healthcare access survey are: “How often were you treated with respect by your doctors or healthcare providers? Would you say… “How often did your doctors or healthcare providers tell or give you information about your health and health care that was easy to understand?”, “IN THE PAST 12 MONTHS, have you delayed getting care for the following reason: You were nervous about seeing a health care provider?” and “How often have you either delayed or not gone to see doctors or health care providers because they were different from you in any of these ways?”. I selected all the survey questions, removed extraneous race values, used the same imputation methods, and made significant progress trying to implement my logistic regression. I didn’t run into as many roadblocks as my insurance analysis, but I plan to go back and double-check my work. I’m still facing the same issue with adding other covariates as last week; however, to do some data investigation, I am going to conduct simpler statistical tests like chi-square. This way, I have some sort of intuitive understanding of how the results of my logistic regression should look.
In addition to finishing the data analysis, I also edited the introduction and literature review of my research paper. I did change some parts of my methodology, so I’ll work on refining that part of my paper this week and start assembling my presentation.
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