This is a simple data set that records every wrong guess for map quiz assignments I gave in my intro to IR class at Clemson University across five semesters.
A data frame with 1772 observations on the following 8 variables.
an ordered factor of the semester in which the wrong guess was recorded by a student. Levels include "Spring 2018", "Fall 2018", "Spring 2019", "Fall 2019", and "Spring 2020."
the number of students in the class taking the map quiz.
the region map on which the country was located. Values include "Europe", "Africa", "Asia", "Latin America", and "MENA." "MENA" is short for "Middle East and North Africa."
the country I asked the student to correctly identify
the country that was the actual state incorrectly guessed by the student
the Correlates of War state code for
the state I wanted the student to identify in
the Correlates of War state code for the
state that is the wrong guess for the state in
the minimum distance (in kilometers) between
Students can always not make a guess and be wrong, which explains the
NAs in the data. Students were given five
separate numbered maps and prompted to identify 10 countries each on
them. The maps never changed across five semesters, nor did the prompts.
Use these data as you see fit. Obviously, FERPA considerations mean I
can't share anything else of potential value here.
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