newbie1 Posted August 23, 2021 Share Posted August 23, 2021 Hi all, This isn't really related to admissions into PhD but rather to research/data cleaning, as a person working as an RA. Is it weird to go back to refining the sample construction, once you've made much progress into the project? I've done this a few times so far -- I work with very extensive raw datasets with lots of variables, and when I find ways to drop/keep observations more accurately, I go back to sample construction, fix and run the codes again, and run the analyses again. The results I have are already very strong and robust that the takeaways and implications never change. I'm just worried that me doing this would make my professors frown upon me. Quote Link to comment Share on other sites More sharing options...
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