R Dataset / Package lme4 / InstEval
On this Picostat.com statistics page, you will find information about the InstEval data set which pertains to University Lecture/Instructor Evaluations by Students at ETH. The InstEval data set is found in the lme4 R package. Try to load the InstEval data set in R by issuing the following command at the console data("InstEval"). This may load the data into a variable called InstEval. If R says the InstEval data set is not found, you can try installing the package by issuing this command install.packages("lme4") and then attempt to reload the data with library("lme4") followed by data("InstEval"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing InstEval at the command-line which should display the entire dataset.
If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the InstEval R data set. The size of this file is about 2,311,569 bytes.
University Lecture/Instructor Evaluations by Students at ETH
University lecture evaluations by students at ETH Zurich, anonymized for privacy protection. This is an interesting “medium” sized example of a partially nested mixed effect model.
A data frame with 73421 observations on the following 7 variables.
Each observation is one student's rating for a specific lecture (of one lecturer, during one semester in the past).
The main goal of the survey is to find “the best liked prof”, according to the lectures given. Statistical analysis of such data has been the basis for a (student) jury selecting the final winners.
The present data set has been anonymized and slightly simplified on purpose.
str(InstEval)head(InstEval, 16) xtabs(~ service + dept, InstEval)
Dataset imported from https://www.r-project.org.
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