I read 3 different group’s proposals today. One group’s proposal research question was clear and concise, and they had a great set of predictors. I suggested they should clarify their hypotheses about each relationship. I also talked with the member of the group and confirmed how they were going to measure “climate”, which seemed ambiguous, and he informed me they were going to use the categories given in the data set.
The other groups brought good proposals. I liked the formatting and clarity of writing of the first group. The predictors were well thought out and the data set was well exlained. They had a fairly obvious answer to their research question, but I am interested to see the actual amount of correlation. They did not label their data as quantitative or categorical but the labels were easily interpreted through the context of their description.
The other group’s proposal was harder to read. The predictors were written as a one or two word phrase and seemed to have little thought to the possible conclusions to draw from it. They also did not label their categorical vs. quantitative data. I think their actual question could be a super interesting topic.
I think the groups that found data before they started their proposal had more well written and thoughtful research questions. I would recommend this because I think knowing the data provided enables a group to process possible consequences and understand how to work the data. I wish my group would have found our data and given us more confidence in our hypothesis.
Lastly, for in class models and work that we tested today, I found it difficult to follow along with the R code as it was being written in the console. I had written the linear model code, but I struggled to understand how the plots were helping us to interpret the OKCupid data.
I wasn’t sure what the process was for each question. I was able to have the code written for the variables of a linear model, but I did not know which piece of the summary to look at to answer the question, or know when to use an anova.