Applying Genetic Algorithm to Generation of High-Dimensional Item Response Data

Algorithm 2

Monte Carlo generation (MG).

Input: number of items (), number of examinees (), item parameter vector (a: discrimination, b: difficulty), ability of

examinees ()

Output: item response data (u)

(1) for all    do

(2)    for all    do

(3)     = Rand(0~1)   /Generate a random real number between 0 and 1 /

(4)    

(5)    if    then

(6)        

(7)    else

(8)        

(9) return