Posted by ljshaffer
I’m looking forward to meeting Munir Virani, at the Peregrine Fund and National Museums of Kenya, and learning more about vultures this July in Kenya. In the meantime, I ran across this short TedX talk from Nairobi about why vultures are so important to a healthy environment and what can be done to help prevent their extinction.
Peregrine Fund – Vultures
Posted by ljshaffer
by Hayatt Mohamed
So we’re in the home stretch! After weeks of coding we have finally reached the analysis phase, which feels like even more coding. While coding had its own share of frustrations between deciding whether or not a segment fits the criteria of the description of the code, the tedious re-reading, or the constant insecurity that you’re doing absolutely everything wrong (something that I personally always am worried about and anyone who is the lab with me probably gets tired of me asking and re-asking to make sure) it has been interesting. That’s the funny thing about coding though, what you may interpret the definition of a code may be different than how someone else may think the code to be. And you won’t even know that they are looking at it differently than you until you ask them a simple question, or until you are organizing and analyzing a code. Coding for the Health in the Social-Ecological model proved to be hard because I couldn’t help but think SES stood for socio-economic model, and I couldn’t help but focus on that. Even when coding I would look at the blockers that affect the community’s health like lack of infrastructure or transportation. I had to constantly re-remind myself to also look at climate and ecological factors. Though often ecological factors tied in with infrastructure at times (for instance in regards to quality of water and sanitation both factors in the spreading of malaria and cholera). There were times where I didn’t even use certain codes and times where I felt like something should have been created into its own code rather than lumped in a broad code but was overruled. The thing about coding is that it’s subjectively objective; the facts are there but are very open to interpretation.
The analysis has proven to be just as daunting as coding-if not more. Here is where we see if our coding was even remotely similar to our group members and also comparing how we coded and what our interpretations of the codes were. In my personal group when I have analyzed codes I noticed slight differences in what each member has found to be appropriate to code. Also some people tend to be more generous with their coding-something I tend not to do but the great thing about working in a group is that they might have caught something you intended to code and didn’t but it also becomes frustrating when you feel like maybe that should not have been coded and it is (once again these are times where it is great to have someone else in the room working beside you so you can ask them a few questions). Color coding the analyses by comment has definitely made these excel spreadsheets easier to look at and more fun and I just feel like color makes everything better. I’m still not quite done with my analysis but it’s oddly comforting. It feels good to turn disorder to order so although it’s tedious, I’m enjoying the process.