Survey distribution and data analysis

Welcome to the ninth post for this project.

In my previous post, I mentioned that there was not a significant correlation between light pollution index and sleep quality score based on the data my subjects has provided. Sleep quality scores have differed, and the majority of the light pollution indexes tended to be relatively near 70.0 watts  per steradian per centimeter squared with few being closer to 90.0 watts per steradian per centimeter squared. In my study, I have used publicly available NASA VIIRS data to get the light pollution index of the subject’s reported region.

I have distributed the questionnaire to 5 more subjects this week, and I have done an analysis of their sleep quality scores and mapped it to the light pollution index of their respective regions. From the responses I received this week, I noticed more variation in the light pollution indexes from the region they were reporting from while there also being variation in their calculated sleep quality scores. I have not yet noticed a strong trend between light pollution index and sleep quality. This is a potential obstacle that I may continue to face in data analysis, which would essentially assert that there isn’t a strong relationship between light pollution index of an environment and someone’s sleep quality. While such a relationship is not entirely negligible, it is likely overridden by the other factors of sleep quality.

I do look/hope to find out there is a relationship between light pollution and sleep quality, although other factors of sleep quality can override it and which will show in the data. I look forward to sharing the data with everyone and an analysis of it soon, once it has all been compiled and when I have reached my target response count. I will continue to reach out to more subjects for more responses to gather more data. 

As I continue to collect data this week, I will be recording them and looking for any noticeable discrepancies between the data reported from the subjects living in areas of noticeably different indexes of light pollution. Upon completion of data collection, I will be prepared to provide a full analysis in the context of my literature review and my original theory that light pollution has a strong correlation with sleep quality. Thank you for reading this post, and I look forward to keeping you updated on my progress.