Ferris State University
Overview - This dashboard has been created using Shiny and the R programming language. Its purpose is to explore possible patterns in the recruitment and retention of full time, freshman, FTIAC students at Ferris State University from 2010 to 2018. The full dataset contained 17,329 student records. Out of state and foreign students were subsequently removed resulting in 15,930 records (92% in-state enrollment). Please note that these data do not contain transfer or part-time students. Therefore, you should exercise a bit of caution when attempting to generalize these findings to the entire Ferris enrollment.
Data - The data used for this site were obtained from Institutional Research and Testing at Ferris State University. A special thanks to Jerome Forbes, Kathy Fisher, and Mitzi Day for providing the raw data. In compliance with FERPA, all personally identifiable information has been removed from the dataset.
Code - All of the working data and code for this project can be found online here .
License - This work is released under the MIT license. © Clifton Franklund, 2019. Please feel free to use, modify, and share these materials. However, I would appreciate it if you would cite this work. The recommended citation is:
Franklund, C. (2019, January 21). FTIAC Analysis. Retrieved from osf.io/qv27k
This map shows student recruitment by county. Counties containing large cities are expected to generate more students on average.
This map shows student recruitment by county per 100,000 census population (2010 census numbers). By normalizing for population, we can see the relative effectiveness of recruiting by county.
This map shows the percent student retention by county. These are calculated as percent students returning fall of their sophomore year at Ferris (fall to fall retention). The 2018 retention data are not available yet, so you need to exclude 2018 to get meaningful results on this tab.
This maps shows the mean high school GPAs of incoming students by county. High school GPA is a moderate predictor of retention.
This maps shows the mean student ACT composite scores by county. The ACT composite scores are a good predictor of retention.
This maps shows the mean student ACT English scores by county.
This maps shows the mean student ACT reading scores by county.
This maps shows the mean student ACT math scores by county. The ACT math scores are a good predictor of retention.
This maps shows the mean student ACT science scores by county.