4.3 Data and Q-matrix

data1 and data2 are two data sets, each consisting of responses of 837 individuals to 15 items generated based on a proportional reasoning assessment. Q1 and Q2 are the associated Q-matrices, each involving 3 attributes.

To conduct CDM anlyses, you need to have at least

1. a \(N\times J\) response matrix (Missing values allowed)

2. a \(J \times K\) Q-matrix

First, let us import the data and Q-matrix into R.

Code

library(GDINA)
## data1 <- read.table(file = "data1.dat",header = TRUE)
head(data1)

##   Item1 Item2 Item3 Item4 Item5 Item6 Item7 Item8 Item9 Item10 Item11
## 1     1     1     1     1     1     0     1     1     0      1      1
## 2     1     1     1     1     0     0     0     0     1      0      1
## 3     1     0     1     0     1     1     1     1     1      0      1
## 4     1     0     1     0     1     0     0     0     1      1      1
## 5     1     0     0     0     0     0     0     0     0      0      1
## 6     1     0     1     1     1     1     1     1     0      1      1
##   Item12 Item13 Item14 Item15
## 1      1      0      1      0
## 2      1      0      0      0
## 3      0      0      0      0
## 4      0      0      1      0
## 5      0      0      1      1
## 6      0      1      0      0

Code

## Q1 <- read.table(file = "Q1.txt")
Q1

##    V1 V2 V3
## 1   1  0  0
## 2   0  0  1
## 3   0  1  0
## 4   0  0  1
## 5   1  1  0
## 6   1  1  0
## 7   1  1  0
## 8   0  1  1
## 9   0  1  1
## 10  0  1  1
## 11  0  1  1
## 12  1  0  1
## 13  1  0  1
## 14  1  1  1
## 15  1  1  1