2 Departmental survey about statistical methods
I used an anonymous survey to ask colleagues some questions about which topics may be more interesting or useful in their research.
2.1 March 2022
2.1.1 Question 1
In the first question people indicated topics of interests. The winner are multilevel models, followed closely by Bayesian statistics.
There were some additional suggestions.
#> [1] "power analyses using Shiny apps"
#> [2] "agent-based models"
#> [3] "this may be covered in the above, but approaches to analysing experience sampling method"
#> [4] "Methods for longitudinal analyses"
#> [5] "Network modelling"
#> [6] "Neural networks, Markov processes"
#> [7] "Random forests and related"
#> [8] "causal modelling using regression models - path models etc"
#> [9] "prediction modelling"A few other topics were mentioned in the comment section:
- Shiny apps
- Network modelling
- Longitudinal analyses
- Random forests
- Neural network
