scholarly journals Full-Information Item Factor Analysis: Applications of EAP Scores

1985 ◽  
Vol 9 (4) ◽  
pp. 417-430 ◽  
Author(s):  
Eiji Muraki ◽  
George Engelhard
1988 ◽  
Vol 12 (3) ◽  
pp. 261-280 ◽  
Author(s):  
R. Darrell Bock ◽  
Robert Gibbons ◽  
Eiji Muraki

Psychometrika ◽  
1992 ◽  
Vol 57 (3) ◽  
pp. 423-436 ◽  
Author(s):  
Robert D. Gibbons ◽  
Donald R. Hedeker

1990 ◽  
Author(s):  
Robert D. Gibbons ◽  
Donald R. Hedeker ◽  
R. D. Bock

2000 ◽  
Vol 74 (3) ◽  
pp. 400-422 ◽  
Author(s):  
Bernard T. Leonelli ◽  
Chih-Hung Chang ◽  
R. Darrell Bock ◽  
Stephen G. Schilling

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Bahrul Hayat ◽  
Muhammad Dwirifqi Kharisma Putra ◽  
Bambang Suryadi

Rasch model is a method that has a long history in its application in the fields of social and behavioral sciences including educational measurement. Under certain circumstances, Rasch models are known as a special case of Item response theory (IRT), while IRT is equivalent to the Item Factor Analysis (IFA) models as a special case of Structural Equation Models (SEM), although there are other ‘tradition’ that consider Rasch measurement models not part of both. In this study, a simulation study was conducted to using simulated data to explain how the interrelationships between the Rasch model as a constraint version of 2-parameter logistic (2-PL) IRT, Rasch model as an item factor analysis were compared with the Rasch measurement model using Mplus, IRTPRO and WINSTEPS program, each of which came from its own 'tradition'. The results of this study indicate that Rasch models and IFA as a special case of SEM are mathematically equal, as well as the Rasch measurement model, but due to different philosophical perspectives people might vary in their understanding about this concept. Given the findings of this study, it is expected that confusion and misunderstanding between the three can be overcome.


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