Modular Open-Source Software for Item Factor Analysis

被引:46
|
作者
Pritikin, Joshua N. [1 ]
Hunter, Micheal D. [2 ]
Boker, Steven M. [1 ]
机构
[1] Univ Virginia, Charlottesville, VA 22904 USA
[2] Univ Oklahoma, Norman, OK 73019 USA
关键词
item factor analysis; item response theory; modular; open-source; GOODNESS-OF-FIT; RESPONSE THEORY; COVARIANCE MATRICES; MAXIMUM-LIKELIHOOD; INFORMATION MATRIX; EM; MODEL; IRT;
D O I
10.1177/0013164414554615
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
This article introduces an item factor analysis (IFA) module for OpenMx, a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS X, and Microsoft Windows. The IFA module offers a novel model specification language that is well suited to programmatic generation and manipulation of models. Modular organization of the source code facilitates the easy addition of item models, item parameter estimation algorithms, optimizers, test scoring algorithms, and fit diagnostics all within an integrated framework. Three short example scripts are presented for fitting item parameters, latent distribution parameters, and a multiple group model. The availability of both IFA and structural equation modeling in the same software is a step toward the unification of these two methodologies.
引用
收藏
页码:458 / 474
页数:17
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