This is an example Mathematics dataset. The dataset contains 664 students on 30 items.
data(data.math)The dataset is a list. The list element data
contains the dataset with the demographical variables
student ID (idstud) and a dummy variable
for female students (female). The remaining
variables (starting with M in the name) are
the mathematics items.
The item metadata are included in the list element
item which contains item name (item) and the
testlet label (testlet). An item not included
in a testlet is indicated by NA.
Each item is allocated to one and only competence domain (domain).
The format is:
List of 2
$ data:'data.frame':
..$ idstud: int [1:664] 1001 1002 1003 ...
..$ female: int [1:664] 1 1 0 0 1 1 1 0 0 1 ...
..$ MA1 : int [1:664] 1 1 1 0 0 1 1 1 1 1 ...
..$ MA2 : int [1:664] 1 1 1 1 1 0 0 0 0 1 ...
..$ MA3 : int [1:664] 1 1 0 0 0 0 0 1 0 0 ...
..$ MA4 : int [1:664] 0 1 1 1 0 0 1 0 0 0 ...
..$ MB1 : int [1:664] 0 1 0 1 0 0 0 0 0 1 ...
..$ MB2 : int [1:664] 1 1 1 1 0 1 0 1 0 0 ...
..$ MB3 : int [1:664] 1 1 1 1 0 0 0 1 0 1 ...
[...]
..$ MH3 : int [1:664] 1 1 0 1 0 0 1 0 1 0 ...
..$ MH4 : int [1:664] 0 1 1 1 0 0 0 0 1 0 ...
..$ MI1 : int [1:664] 1 1 0 1 0 1 0 0 1 0 ...
..$ MI2 : int [1:664] 1 1 0 0 0 1 1 0 1 1 ...
..$ MI3 : int [1:664] 0 1 0 1 0 0 0 0 0 0 ...
$ item:'data.frame':
..$ item : Factor w/ 30 levels "MA1","MA2","MA3",..: 1 2 3 4 5 ...
..$ testlet : Factor w/ 9 levels "","MA","MB","MC",..: 2 2 2 2 3 3 ...
..$ domain : Factor w/ 3 levels "arithmetic","geometry",..: 1 1 1 ...
..$ subdomain: Factor w/ 9 levels "","addition",..: 2 2 2 2 7 7 ...