Menentukan Ukuran Matriks Q pada Model Dina untuk Dijadikan Dasar Menyusun Item Tes Diagnostik

Kusaeri Kusaeri (UIN Sunan Ampel Surabaya, Jl. Jenderal Ahmad Yani 117 Surabaya)
Kumaidi Kumaidi (Universitas Muhammadiyah Surakarta, Jl. A. Yani Tromol Pos 1, Pabelan Surakarta)

Jurnal Ilmu Pendidikan
Vol. 21 No. 1 (2015)

Determining Q-Matrix Value of DINA Model for Diagnostic-Test Item Construction. This study measures an efficient Q-matrix value using Monte Carlo simulation. The simulated Q-matrix, ob­tained from the simulation conducted based on the real data set of the responses of the seventh graders of middle schools, has 3, 4, and 5 attributes. The middle schools include SMPN 1 Panjatan Kulon Progo, SMPN 1 Sanden Bantul, and SMPN 1 Yogyakarta. The information criteria value used in determining the efficient Q-matrix are the Akaike value (AEC) and the Bayesian (BIC). The simulation results in Q4×3 matrix for the 3 attributes, Q6×4 matrix for the 4 attributes, and Q6×5 for the 5 attributes. Those matrixes are recommended in developing diagnostic test items within DINA model framework. In other words, in the development of diagnostic-test items,the Q-matrix should have more attributes than the number of the test items.