Adjusting Person Fit Index for Skewness in Cognitive Diagnosis Modeling

2019 ◽  
Vol 37 (2) ◽  
pp. 399-420
Author(s):  
Kevin Carl P. Santos ◽  
Jimmy de la Torre ◽  
Matthias von Davier
Author(s):  
Rashid Al-Mehrzi

Wright's residual-based person fit indices were the first person fit indices with dichotomous IRT model and commonly used with Rasch model software. Although there were number of studies which suggested modifications to improve the statistical properties of the Wright's indices, they remained to lack good statistical properties.The study presented a new person fit index and how it can be interpreted and applied for detecting person misfit. Moreover, through a simulated data, the study investigated the statistical properties and the power rates of the new index and compared it with Wright's indices. Results showed that the new index had superior statistical properties under different test conditions and overcome the Wright's index. 


2018 ◽  
Vol 19 (4) ◽  
pp. 75-118
Author(s):  
Sehee Hong ◽  
Yoona Jang ◽  
Joohan Kim ◽  
Young-san Yoo

2019 ◽  
Vol 35 (1) ◽  
pp. 126-136 ◽  
Author(s):  
Tour Liu ◽  
Tian Lan ◽  
Tao Xin

Abstract. Random response is a very common aberrant response behavior in personality tests and may negatively affect the reliability, validity, or other analytical aspects of psychological assessment. Typically, researchers use a single person-fit index to identify random responses. This study recommends a three-step person-fit analysis procedure. Unlike the typical single person-fit methods, the three-step procedure identifies both global misfit and local misfit individuals using different person-fit indices. This procedure was able to identify more local misfit individuals than single-index method, and a graphical method was used to visualize those particular items in which random response behaviors appear. This method may be useful to researchers in that it will provide them with more information about response behaviors, allowing better evaluation of scale administration and development of more plausible explanations. Real data were used in this study instead of simulation data. In order to create real random responses, an experimental test administration was designed. Four different random response samples were produced using this experimental system.


2013 ◽  
Vol 50 (2) ◽  
pp. 123-140 ◽  
Author(s):  
Jinsong Chen ◽  
Jimmy de la Torre ◽  
Zao Zhang

Sign in / Sign up

Export Citation Format

Share Document