"For my current job role, PHDA 06 evaluation course reinforced work planning, stakeholder engagement planning, and reporting planning skills -- their corresponding activities are prevalent at my job."
"For my current job role, PHDA 06 evaluation course reinforced work planning, stakeholder engagement planning, and reporting planning skills -- their corresponding activities are prevalent at my job."
My postdoctoral supervisor suggested it to me – my PhD work was qualitative, and I’m interested in doing more mixed-methods and quantitative research using administrative data so it seemed like a good fit. The fact that it was online and I could take the courses at my own pace was an additional motivator.
I developed a number of skills, most importantly in working with administrative data and statistical analysis. The evaluation course was probably the most useful as it is something I’d like to incorporate into my future research much more.
I am currently planning an evaluation of a health program that will include using administrative data, so hopefully it will give me plenty of opportunity to use the skills I’ve developed.
The flexibility of timing due to the entirely online nature of the program stood out to me. I could work on things when I had the time, which I think is a great feature for people who are generally working full time. I also liked the mix of discussion and individual assignments in the courses; getting to hear others’ opinions and experiences was very useful.
Yes, I would recommend this program to others, although I would definitely suggest only taking one course at a time. Even working only part time, taking two courses at once was a bit much.
"The courses I found to be of greatest benefit to me and my work were PHDA 01 (Working with Administrative Data) and PHDA 05 (Longitudinal Analysis and Multi-level Modeling of Population Health Data). These courses provided practical skills that I find I apply regularly to my job, and made me much more comfortable with using data analytic programs like SAS."
"The course was well structured. Through the course, I learned: a formal approach to developing, structuring and answering a research question using administrative data; how to clearly define the study population; how to develop a flow chart to illustrate, and guide, the development of an analytical dataset; and SAS skills. It was an excellent course and a good refresher for me, as it has been 5 years since I’ve done data analysis. A number of course assignments required me to pair with a fellow student and undergo peer review of one another’s code. It was interesting to see how my peer structured their code to produce their dataset. I enjoyed and learned a lot from this exchange. The flexibility of distance learning meant that it was possible to complete work at my own pace and schedule. It was also helpful to learn from students in different locations, who worked in related fields but had different strengths, skills and perspectives.
Finally, this course gave me experience working with administrative datasets and tools that can be difficult to access on the job. The opportunity to work with samples of real data exposed me to some of the challenges I could face at work in learning, cleaning, formatting and analyzing the data. I would highly recommend this course and the PHDA program to my colleagues. It’s a well-structured and organized program and provides a good theoretical and practical approach to population health data analysis."
"The flexibility of timing due to the entirely online nature of the program stood out to me. I could work on things when I had the time, which I think is a great feature for people who are generally working full time. I also liked the mix of discussion and individual assignments in the courses; getting to hear others’ opinions and experiences was very useful."
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